Academia.eduAcademia.edu

Outline

Title
Abstract
Methodology
Findings
Conclusion
References

Standardization Problem of Author Affiliations in Citation Indexes

Profile image of Umut AlUmut Al

2014, Scientometrics

Abstract

Academic effectiveness of universities is measured with the number of publications and citations. However, accessing all the publications of a university reveals a challenge related to the mistakes and standardization problems in citation indexes. The main aim of this study is to seek a solution for the unstandardized addresses and publication loss of universities with regard to this problem. To achieve this, all Turkey-addressed publications published between 1928 and 2009 were analyzed and evaluated deeply. The results show that the main mistakes are based on character or spelling, indexing and translation errors. Mentioned errors effect international visibility of universities negatively, make bibliometric studies based on affiliations unreliable and reveal incorrect university rankings. To inhibit these negative effects, an algorithm was created with finite state technique by using Nooj Transducer. Frequently used 47 different affiliation variations for Hacettepe University apart from “Hacettepe Univ” and “Univ Hacettepe” were determined by the help of finite state grammar graphs. In conclusion, this study presents some reasons of the inconsistencies for university rankings. It is suggested that, mistakes and standardization issues should be considered by librarians, authors, editors, policy makers and managers to be able to solve these problems.

Related papers

The webometric estimate of the publication activities of universities: The influence of the belgorod declaration
Vladimir Moskovkin

Scientific and Technical Information Processing

This paper gives the webometric estimate of the functioning of the universities included in the Near Frontier Belarusan-Russian-Ukrainian University Consortium (in the context of the adoption of the Belgorod Declaration on open access to scientific knowledge and our cultural heritage) during 2008-2009 on the basis of the Spanish webometric university ranking and the potential of the Google Scholar search engine. The classification of the universities of the Near Frontier Belarusan-Russian-Ukrainian University Consortium has been built according to the degree of publication activities. The influence of the Belgorod Declaration on university publication activities was shown.

View PDFchevron_right
Bibliometric Analysis and Science Mapping of Scientific Publications of COMSATS University during 1998–2022
Nusrat Ali

Pakistan Journal of Information Management and Libraries, 2023

This study aimed to conduct a bibliometric analysis and science mapping of the publications emerging from the COMSATS University Islamabad (CUI), Pakistan. Bibliometrics and visualization techniques were used in this study. The data were collected from the Web of Science database with the "COMSATS University Islamabad" query in the affiliation category. A total of 26,841 documents were retrieved. VOSviewer, Biblioshiny, ScientoPy, and MS Excel software were used to analyze the data. The results showed that the number of publications, particularly articles, has progressively increased. COMSATS had the most national collaborations with Quaid-e-Azam University, and China was identified as the top-ranked country for international collaborations. Furthermore, Engineering was the most attractive area for the CUI authors. This study would guide the researchers regarding important research areas while conducting, collaborating, and submitting their research in international databases.

View PDFchevron_right
A Correlation Analysis of Normalized Indicators of Citation
Dmitry M Kochetkov

Publications, 2018

Recently, more and more countries are entering the global race for university competitiveness. On the one hand, global rankings are a convenient tool for quantitative analysis. On the other hand, their indicators are often difficult to quickly calculate and they often contradict each other. The author of this paper hoped to use widely available indicators for a quick analysis of the University’s publication strategy and opted for the normalized citation indicators available in the SciVal analytical tool, namely, Source Normalized Impact per Paper (SNIP) and Field-Weighted Citation Impact (FWCI). The author demonstrated the possibility of applying the correlation analysis to the impact indicators of a document and a journal on a sample of social and humanitarian fields at Peoples’ Friendship University of Russia (PFUR, “RUDN” in Russian). A dot diagram of university (or country) documents was used to form a two-factor matrix (SNIP and FWCI) that was further divided into four quadrants. Such an analysis illustrated the present situation in that discipline. An analysis of the RUDN university publications revealed problems and prospects in the development of social sciences and humanities. A serious problem observed was that high-quality results were often published in low-impact journals that narrowed the results’ potential audience and, accordingly, the number of citations. A particular attention was paid to the application of the results in practice.

View PDFchevron_right
Belleten Dergisinin Görsel Haritalaması ve Bibliyometrik Analizi: (2009-2021)
selçuk nam

Bilgi yönetimi. (Online), 2023

The Belleten Journal, which started publication in 1937, has contributed to Turkey's knowledge and dissemination of information for nearly a century. In this research, visual mapping and bibliometric analysis of 431 articles published in the journal Belleten, which were scanned in Web of Science (WoS) and Scopus databases between 2009-2021, were conducted. Data were obtained from the WoS and Scopus database in January (2022). In the study, the articles with the highest impact factor, the distribution of the articles, the author profile, the number of authors, the distribution of the authors according to the universities they belong to and the most frequently cited authors were determined. In order to determine the intellectual structure of the journal Belleten, co-citation analysis was carried out to reveal the relationship networks between bibliometric items. Research findings show that Golen, Z. with six articles and Demiryürek, N. with five articles in the journal Belleten are the most productive authors. Ankara University is the university that contributes the most to the journal with 24 articles. Hacettepe University follows Ankara University with 20 articles. The highest number of publications in the journal is in Turkey with 374 articles. Turkey is followed by Kyrgyzstan with six articles and Azerbaijan with five articles. Of the articles published in the journal, 293 are empirical, and 138 are review articles. The findings show that the Belleten Journal successfully fulfills its function as an effective platform for producing and disseminating knowledge in Turkish History, Political Science, Turkish Culture, and Anthropology.

View PDFchevron_right
UNIPUB project. Methodologies for the characterization of the publication output of higher education institutions using institutional databases. Country Report: Spain
Isabela Gomez

2009

View PDFchevron_right
A Bibliometric Analysis of the Research Output of Sambalpur University's Publication in ISI Web of Science during 2007-11
Rabindra Kumar Maharana

Library Philosophy and Practice, 2013

The present study is a bibliometric assessment of scientific research output of Sambalpur University during the 2007 to 2011. Which describes the growth, contribution and impact of research carried out by the faculty members, researchers or students of Sambalpur University. It also attempts to analyze the growth and development of research activity of the university as reflected in publications output covered by ISI Web of Science during the period under study. The study attempt to examines the content of papers published, including the annual average growth rate percent, authorship pattern, degree of collaboration, distribution of citations, organizational affiliation of papers. Subramanyam's formula is used to calculate degree of collaboration (C), Bradford's law used to determine scattering of literature in the publication pattern of the university.

View PDFchevron_right
Citation and self-citation rates of Iranian and Turkish journals indexed in ISI
Zahra Foroughi

In recent years,the growth rate of scientific production is increasing noticeabley.Citation analysis is currently one of the most widely used metrics for analyzing the scientific contribution of any units. Self-citation is a common practice but it can differ between disciplines, countries and journals. In this study we evaluated the impact factor (IF), citations and self-citations of Iranian and Turkish journals indexed in Web of Science based on the Journal Citation Report(JCR) 2012. We used the ISI-database journal citation report from Thomson-Reuters, JCR 2012, tocollectjournal impact factors, number of articles, number of citations and self-citationsfor both Turkey and Iran from 2009 to 2010 (which was used to calculate the impact factor of 2011). The mean, median and percentiles of each variableswere compared between countries using theIndependent Student t-test or Mann-Whithney U test in the case of violation of normal distribution. In addition therelationship between the numb...

View PDFchevron_right
Research publication trend of Utkal University’s researchers indexed in Scopus during 2008 to 2012: a bibliometric analysis
Rabindra Kumar Maharana

2013

The present study is a bibliometric analysis of research papers of Utkal University published in various research journals of repute which were indexed in Scopus (officially known as Sciverse Scopus) during 2008 to 2012. It also identifies the annual growth of university publication, authorship pattern, author productivity, degree of collaboration, length of paper published, most prolific contributor, prolific institution/ organization, geographical distribution etc. Design/ methodology/ approach-For information retrieval "Utkal University" and "India" were the keywords used as affiliation and "2008" to "2012" selected as the time span of the study, further, the result was refined only to "articles". Finally, 447 research papers in different disciplines of science and technology retrieved and matched with Utkal University as "author's affiliation". The papers were analyzed according to their year-wise publication, authorship pattern, length of paper published, geographical distribution of papers etc., statistical techniques such as Lotka's Inverse Square Law was used to identify author's productivity and Bradford's law used to determine scattering of literature in the publication pattern of the university during the period under study.

View PDFchevron_right
A Study on the Status, Citation Analysis, and Altmetric Indices of Journals of Golestan University of Medical Sciences
Masoud Mohammadi, Journal of Research Development in Nursing and Midwifery

Journal of Research Development in Nursing & Midwifery, 2020

Background: Journals are regarded as the most important media for transferring knowledge and research results, accordingly their promotion is conditioned by continuous evaluation and improvement of performance. The present study aimed to determine the status, citation analysis, and altmetric indices of journals published by Golestan University of Medical Sciences. Methods: This cross-sectional study was conducted by a descriptive approach with scientometric and citation analysis methods in 2019. The statistical population consisted of 5 journals of Golestan University of Medical Sciences. Data collection tool was a researcher-made checklist consisting of 28. Altmetric indices of journals were also evaluated. Data was analyzed by descriptive statistics; and the results were presented in diagrams and tables. Results: All the studied journals had all "publication requirements. Only one journal had the requirement, "at least half of editorial board should be outside of the publication". Moreover, 37 percent of 105 editorial board members in the under examined journals had extra-organizational affiliation and only 8 percent were from abroad. The articles of "Journal of Gorgan University of Medical Sciences " was the most-cited article regarding citation bases. Conclusions: Journals of Golestan University of Medical Sciences need to revise their structures, especially for editorial board members namely being international, having an organizational affiliation outside the university, as well as the presence of editorial board members with further research activity and background.

View PDFchevron_right
UNIVERSUM AFTER 32 YEARS OF ITS FOUNDATION: BIBLIOMETRIC AND RELATIONAL ANALYSIS
Yerco Uribe-Bahamonde, Dr. Claudio Díaz Herrera

Universum, 2019

In the following paper, a bibliometric and relational analysis had been was carried out on the Universum journal from its date of foundation (1986) to the present (2017). A database had been was prepared with all the publications of the journal (47 issues in 32 years), with a total sample of 765 publications. Bibliometric, collaborative indicators (Subramanyam, Lawani and, coefficient of collaboration) we had been applied, relationships were analyzed, both at the level of countries and Chilean institutions, as well as the participation by sex in the different years. The results show that the largest number of documents are produced by only one author (84 %), and led mainly by male authors (71.3 %). We can see a balance in the number of authors both male and female in the years 2000-2002. The country with the highest production within the journal is Chile, while the institutions that contribute the most and generate collaboration links are the University of Talca, University of Santiago de Chile and the University of Chile. This analysis allows representing the history and tendency of the journal at the level of authors and authors relationships.

View PDFchevron_right

References (40)

  1. Altıntaş, K. (2001). Turkish to Crimean Tatar machine translation system. Unpublished Master's Thesis, Bilkent University, Ankara.
  2. Chomsky, N. (1964). Syntatic structures. The Hague: Mouton de Gruyter.
  3. Cole, J. R. (2000). A short history of the use of citations as a measure of the impact of scientific and scholarly work. In The Web of Knowledge: a festschrift in honor of Eugene Garfield (pp. 281-298). New Jersey: Information Today.
  4. Cornell, L.L. (1982). Duplication of Japanesse names: a problem in citations and bibliographies. Journal of the American Society for Information Science, 33(2), 102-104.
  5. Damerau, F.J. (1964). A technique for computer detection and correction of spelling errors. Communications of the ACM, 7(3), 171-176.
  6. De Bruin, R.E. & Moed, H.F. (1990). The unification of addresses in scientific publications. Informetrics, (89- 90), 65-78.
  7. Falahati Qadimi Fumani, M.R., Goltaji, M. & Parto, P. (2012). Inconsistent transliteration of Iranian university names: a hazard to Iran's ranking in ISI Web of Science. Scientometrics, doi: 10.1007/s11192-012-0818- 2.
  8. Galvez, C., Moya-Anegón, F. & Solana, V.H. (2005). Term conflation methods in information retrieval: non- linguistic and linguistic approach. Journal of Documentation, 61(4), 520-547.
  9. Galvez, C. & Moya-Anegón, F. (2006a). The unification of institutional addresses applying parametrized finite- state graphs (P-FSG). Scientometrics, 69(2), 323-345.
  10. Galvez, C. & Moya-Anegón, F. (2006b). An evaluation of conflation accuracy using finite-state transducers. Journal of Documentation, 62(3), 328-349.
  11. Galvez, C. & Moya-Anegón, F. (2007a). Standardizing formats of corporate source data. Scientometrics, 70(1), 3-26.
  12. Galvez, C. & Moya-Anegón, F. (2007b). Approximate personal name-matching through finite-state graphs. Journal of the American Society for Information Science and Technology, 58(13), 1-17.
  13. Goldsmith, J.A. (1993). The last phonological rule: reflections on constraints and derivations. Chicago: University of Chicago Press.
  14. Hacettepe University Libraries. (2012). İndekslerde HÜ-TR: bilimsel yayınlarda adres bilgisi [HU-TR in citation indexes: address information for scientific publications].
  15. Hood, W.W. & Wilson, C.S. (2003). Informetric studies using databases: opportunities and challenges. Scientometrics, 58(3), 587-608.
  16. Johnson, C.D. (1972). Formal aspects of phonological description (monographs on linguistic analysis). The Hague: Mouton De Gruyter.
  17. Kaplan, R.M. & Kay, M. (1994). Regular models of phonological rule systems. Computational Linguistics, 20, 301-378.
  18. Kettunen, K. (2008). Reductive and generative approaches to management of morphological variation of keywords in monolingual information retrieval: an overview. Journal of Documentation, 65(2), 267-290.
  19. Moed, H. F. (2005). Citation analysis in research evaluation. Dordrecht: Springer.
  20. Mohri, M. (1997). Finite-state transducers in language and speech processing. Computational Linguistics, 23(2), 269-311.
  21. Nooj. (2012). Nooj Introduction. http://www.nooj4nlp.net/pages/introduction.html. Accessed 28 December 2012.
  22. Oflazer, K. (1996). Error-tolerant finite-state recognition with applications to morphological analysis and spelling correction. Computational Linguistics, 22(1), 73-89.
  23. Öğretim Üyeliğine Yükseltilme ve Atanma Yönetmeliğinde Değişiklik Yapılmasına Dair Yönetmelik [Regulation for changings on promotions and assignments for lecturers].
  24. T.C. Resmi Gazete. http://www.resmigazete.gov.tr/main.aspx?home=http://www.resmigazete.gov.tr/eskiler/2007/05/2007052
  25. Piternick, A.B. (1982). Standardization of journal titles in databases. Journal of the American Society for Information Science, 33(2), 105.
  26. Roche, E. & Schabes, Y. (1995). Deterministic part-of-speech tagging with finite-state transducers. Computational Linguistics, 21(2), 227-253.
  27. Roche, E. & Schabes, Y. (1996). Introduction to finite-state devices in natural language processing. Technical Report, Mitsubishi Electric Research Laboratories, TR96-13. http://www.merl.com/papers/docs/TR96- 13.pdf. Accessed 27 February 2012
  28. Roche, E. & Schabes, Y. (1997). Finite-state language processing (language, speech and communication). Cambridge: The MIT Press.
  29. Ruiz-Pérez, R., López-Cózar, E.D. & Jimėnez-Contreras, E. (2002). Spanish personal name variations in national and international biomedical databases: implications for information retrieval and bibliometric studies. Journal of the Medical Library Association, 90(4), 411-430.
  30. Scholl, M.H. (2008). (Some) Formal foundations of modelling dynamics. http://www.inf.uni- konstanz.de/fileadmin/dbis/im08/4-Dynamik-B.pdf. Accessed 28 December 2012.
  31. SciVerse Scopus. (2012). Affiliation identifier. http://help.scopus.com/flare/schelp_Left.htm#CSHID=h_affilsrchtips.htm|StartTopic=Content%2Fh_affil srchtips.htm|SkinName=svs_SC. Accessed 28 December 2012.
  32. Taşkın, Z. (2012). Atıf dizinlerinde üniversite adreslerinin standardizasyon sorunu (Standardization problem of university addresses on citation indexes). Unpublished MA Thesis, Hacettepe University.
  33. The Council of Higher Education. (2010). 2010 yılı yayın istatistikleri [Publication statistics of 2010]. http://www.yok.gov.tr/index.php?option=com_docman&task=doc_download&gid=728. Accessed 28 December 2012.
  34. Thomson Reuters. (2009). Web of Science 8.0. http://ip-science.thomsonreuters.com/m/pdfs/mgr/ws-wos-8-0- 0807.pdf. Accessed 28 December 2012.
  35. Thomson Reuters. (2012). Searching the Organizations -Enhanced List. http://images.webofknowledge.com/WOKRS57B4/help/WOS/hp_organizations_enhanced_index.html. Accessed 20 February 2013.
  36. Toutkoushian, R.K. & Webber, K. (2011). Measuring the research performance of post-secondary institutions. In University Rankings: theoretical basis, methodology and impacts on global higher education (pp. 123- 144). New York: Springer ULAKBİM. (2007). Türkiye bilimsel yayın göstergeleri [National Scientific Indicators for Turkey] .
  37. ULAKBİM. (2010). TÜBİTAK Uluslararası bilimsel yayınları teşvik programı uygulama esasları [Implementation fundamentals for TÜBİTAK Incentive Program for Scientific Publications]. ULAKBİM. http://www.ulakbim.gov.tr/cabim/ubyt/esaslar_v2.pdf. Accessed 28 December 2012.
  38. URAP (University Ranking by Academic Performance). (2011). Genel Bilgi [General information]. http://tr.urapcenter.org/2011_2/2011_7.php. Accessed 28 December 2012.
  39. Williams, M.E. & Lannom, L. (1981). Lack of standardization of the journal title element in databases. Journal of the American Society for Information Science, 32(3), 229-233.
  40. Van Raan, A.F.J. (2005). Fatal attraction: conceptual and methodological problems in the ranking of universities by bibliometric methods. Scientometrics, 62(1), 133-143.

Related papers

Institutional Name Confusion on Citation Indexes: The Example of the Names of Turkish Hospitals
Umut Al

Procedia - Social and Behavioral Sciences, 2013

Effectiveness of academia has usually been evaluated by using the number of publications. However, indexing with natural language on citation indexes makes evaluation process problematic for author affiliation. Affiliation information mistakes made by authors or editors can cause confusion during the indexing period. Consequently, visibility of the institutions in the citation indexes may reduce, different rankings for institutions may emerge and bibliometric studies may generate inaccurate results. It is important to understand these standardization problems in citation indexes to be able to fix them. The main aim of this study is to present name confusions of author affiliations within the citation indexes by using the example of the names of Turkish Training and Research Hospitals (TRH). In order to achieve this, 198,687 publications within the Web of Science, addressed in Turkey and produced between 1928 and 2009 were evaluated. The preliminary findings show that there are 65 unique TRHs which were mentioned with several different formats in the address section of the citation indexes. All these varying affiliation information were unified as a standard format for this study. It is observed that the names of these hospitals cause the main confusion. For example, there are four different "Numune TRH"s in different cities of Turkey. In such a case, if the author does not mention the city name in the address field, confusion becomes inevitable. In addition to that, affiliation information mistakes generally appear in the form of wrong spelling, abbreviation and translation mistakes. Findings of this study would bring up aforementioned confusion and present some recommendations to solve it.

View PDFchevron_right
Bibliometric Analysis of Turkey's Recent Social Science Publications
Burcu Zan

Eleventh International Conference on Science and …, 2000

View PDFchevron_right
Information management and improvement of citation indices
cesar jose vicente lois otero

International Journal of Information Management, 2014

Bibliometrics and citation analysis have become an important set of methods for library and information science, as well as an exceptional source of information and knowledge for many other areas. Their main sources are citation indices, which are bibliographic databases like Web of Science, Scopus, Google Scholar, etc. However, bibliographical databases lack perfection and standardization. There are several software tools that perform useful information management and bibliometric analysis importing data from them. A comparison has been carried out to identify which of them perform certain pre-processing tasks. Usually, they are not strong enough to detect all the duplications, mistakes, misspellings and variant names, leaving to the user the tedious and time-consuming task of correcting the data. Furthermore, some of them do not import datasets from different citation indices, but mainly from Web of Science (WoS). A new software tool, called STICCI.eu (Software Tool for Improving and Converting Citation Indices-enhancing uniformity), which is freely available online, has been created to solve these problems. STICCI.eu is able to do conversions between bibliographical citation formats (WoS, Scopus, CSV, BibTex, RIS), correct the usual mistakes appearing in those databases, detect duplications, misspellings, etc., identify and transform the full or abbreviated titles of the journals, homogenize toponymical names of countries and relevant cities or regions and list the processed data in terms of the most cited authors, journals, references, etc.

View PDFchevron_right
Iranian Medical Universities in SCIE: Evaluation of address variation
Abbas Keshtkar

Scientometrics, 2010

Applying different institutional addresses in the scientific production of a same university has underestimated the scientific production of Iranian universities and consequently lowered their position in the international academic rankings for a long time. The present study evaluated the scientific production of Iranian medical universities according to their institutional addresses registered in the papers indexed by Science Citation Index Expanded (SCIE). By conducting a descriptive research we retrieved total SCIE indexed of top Iranian medical universities and their respective hospitals and research centers from the beginning of 1986 to the end of 2007. universities were ranked according to observing a uniformed format for more registered addresses in SCIE. The findings showed unexpected diversity in the institutional affiliation of each university in their SCIE indexed papers. Although ''Tehran University of Medical Sciences'' showed the most variation in registering institutional addresses but ranked first according to observing unification for more addresses in the SCIE indexed papers comparing to the other universities. The problem of applying different institutional affiliations in the scientific production of the universities should be valued enough by the whole scientific community. Observing a uniformed format in registering institutional addresses of Iranian medical universities would affect their scientific credibility and international ranks through representing their real scientific productivity.

View PDFchevron_right
Bibliometric analysis at the National Technical University Athens
Christina Anastos

2019

Within the framework of the internal evaluation of the National Technical University of Athens, as specified by the standards of the Hellenic Quality Assurance and Certification Authority in Higher Education, the members of the Library of the National Technical University of Athens were asked to provide information on the publishing activity of the members of its Academic Staff. After consulting with the Management and the Quality Assurance Unit of the National Technical University of Athens, it was agreed to implement a bibliometric analysis of the publications - mainly in international scientific journals - of its academic staff. In particular, it was suggested to use scientific publications - up to and including 2016 - for each active member of the academic staff. The information that had to be collected was the following: the number of publications, the number of references and the h-index.

View PDFchevron_right
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved