Journal ranking

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Short description: Metric of academic journals

Journal ranking is widely used in academic circles in the evaluation of an academic journal's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it. They have been introduced as official research evaluation tools in several countries.

Measures

Traditionally, journal ranking "measures" or evaluations have been provided simply through institutional lists established by academic leaders or through a committee vote. These approaches have been notoriously politicized and inaccurate reflections of actual prestige and quality, as they would often reflect the biases and personal career objectives of those involved in ranking the journals; also causing the problem of highly disparate evaluations across institutions.[1] Consequently, many institutions have required external sources of evaluation of journal quality. The traditional approach here has been through surveys of leading academics in a given field, but this approach too has potential for bias, though not as profound as that seen with institution-generated lists.[2] Consequently, governments, institutions, and leaders in scientometric research have turned to a litany of observed bibliometric measures on the journal level that can be used as surrogates for quality and thus eliminate the need for subjective assessment.[1]

Consequently, several journal-level metrics have been proposed, most citation-based:

  • Impact factor and CiteScore – reflecting the average number of citations to articles published in science and social science journals.
  • SCImago Journal Rank – a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.
  • h-index – usually used as a measure of scientific productivity and the scientific impact of an individual scientist, but can also be used to rank journals.
    • h5-index – this metric, calculated and released by Google Scholar, is based on the h-index of all articles published in a given journal in the last five years.[3]
  • Expert survey – a score reflecting the overall quality or contribution of a journal is based on the results of the survey of active field researchers, practitioners and students (i.e., actual journal contributors or readers), who rank each journal based on specific criteria.[4]
  • Top quartile citation count (TQCC) – reflecting the number of citations accrued by the paper that resides at the top quartile (the 75th percentile) of a journal's articles when sorted by citation counts; for example, when a journal published 100 papers, the 25th most-cited paper's citation count is the TQCC.[5]
  • Publication power approach (PPA) – the ranking position of each journal is based on the actual publishing behavior of leading tenured academics over an extended time period. As such, the journal's ranking position reflects the frequency at which these scholars published their articles in this journal.[6][7]
  • Altmetrics – rate journals based on scholarly references added to academic social media sites.[8]
  • diamScore – a measure of scientific influence of academic journals based on recursive citation weighting and the pairwise comparisons between journals.[9]
  • Source normalized impact per paper (SNIP) – a factor released in 2012 by Elsevier based on Scopus to estimate impact.[10] The measure is calculated as SNIP=RIP/(R/M), where RIP=raw impact per paper, R = citation potential and M = median database citation potential.[11]
  • PageRank – in 1976 a recursive impact factor that gives citations from journals with high impact greater weight than citations from low-impact journals was proposed.[12] Such a recursive impact factor resembles Google's PageRank algorithm, though the original paper uses a "trade balance" approach in which journals score highest when they are often cited but rarely cite other journals; several scholars have proposed related approaches.[13][14][15][16]
    • Eigenfactor is another PageRank-type measure of journal influence,[17] with rankings freely available online.[18]

Discussion

Negative consequences of rankings are generally well-documented and relate to the performativity of using journal rankings for performance measurement purposes.[19][20] Studies of methodological quality and reliability have found that "reliability of published research works in several fields may be decreasing with increasing journal rank",[21] contrary to widespread expectations.[22]

For example, McKinnon (2017) has analyzed how the ABS-AJG ranking, which in spite of its methodological shortcomings is widely accepted in British business schools, has had negative consequences for the transportation and logistics management disciplines.[23] A study published in 2021 compared the Impact Factor, Eigenfactor Score, SCImago Journal & Country Rank and the Source Normalized Impact per Paper, in journals related to Pharmacy, Toxicology and Biochemistry. It discovered there was "a moderate to high and significant correlation" between them.[24]

Thousands of universities and research bodies issued official statements denouncing the idea that research quality can be measured based on the uni-dimensional scale of a journal ranking, most notably by signing the San Francisco Declaration on Research Assessment (DORA), which asked "not [to] use journal-based metrics ... as a surrogate measure of the quality of individual research articles, to assess an individual scientist's contributions, or in hiring, promotion, or funding decisions".[25] The Community for Responsible Research in Business Management (cRRBM) asks whether "even the academy is being served when faculty members are valued for the quantity and placement of their articles, not for the benefit their research can have for the world".[26] Some academic disciplines such as management exhibit a journal ranking lists paradox: on the one hand, researchers are aware of the numerous limitations of ranking lists and their deleterious impact on scientific progress; on the other hand, they generally find journal ranking lists to be useful and employ them, in particular, when the use of ranking lists is not mandated by their institutions.[27]

National rankings

Several national and international rankings of journals exist, e.g.:

  • ERA Australia journal lists Australian Research Council ranking of journals worldwide[28]
  • CORE ranking, issued by the Computing Research and Education Association of Australasia (CORE, Inc.).[29][30]
  • Brazil's Qualis
  • Colombia's Publindex
  • Denmark Danish Ministry of Higher Education and Science (2014)[31]
  • Finland's Julkaisufoorumi (JUFO) Publication Forum[32]
  • Norwegian Scientific Index Norwegian Register for Scientific Journals, Series and Publishers – Advanced Search[33]
  • Germany VHB Index (business)
  • France CNRS ranking (economics)
  • Italian ANVUR ranking ANVUR Class A journals[34]
  • The Chartered Association of Business Schools Academic Journal Guide[35]
  • Pakistan List of HEC Recognized Journals[36]
  • Indian National Academy of Agricultural Sciences NAAS Score of Science Journals (Effective from January 1, 2022)[37]
  • Polish ranking of journals[38][39]
  • DHET List of Approved South African Journals

They have been introduced as official research evaluation tools in several countries.[40]

See also

References

  1. 1.0 1.1 Lowry, Paul Benjamin; Gaskin, James; Humpherys, Sean L.; Moody, Gregory D.; Galletta, Dennis F.; Barlow, Jordan B.; Wilson, David W. (2013). "Evaluating Journal Quality and the Association for Information Systems Senior Scholars' Journal Basket Via Bibliometric Measures: Do Expert Journal Assessments Add Value?". Management Information Systems Quarterly 37 (4): 993–1012. doi:10.25300/MISQ/2013/37.4.01.  Also, see YouTube video narrative of this paper at: Template:YT
  2. Lowry, Paul Benjamin; Romans, Denton; Curtis, Aaron (2004). "Global Journal Prestige and Supporting Disciplines: A Scientometric Study of Information Systems Journals". Journal of the Association for Information Systems 5 (2): 29–77. doi:10.17705/1jais.00045. https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1362&context=jais. 
  3. Minasny, Budiman; Hartemink, Alfred E.; McBratney, Alex; Jang, Ho-Jun (2013-10-22). "Citations and the h index of soil researchers and journals in the Web of Science, Scopus, and Google Scholar". PeerJ 1: e183. doi:10.7717/peerj.183. ISSN 2167-8359. PMID 24167778. 
  4. Serenko, Alexander; Dohan, Michael (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence". Journal of Informetrics (Elsevier) 5 (4): 629–648. doi:10.1016/j.joi.2011.06.002. http://www.aserenko.com/papers/JOI_AI_Journal_Ranking_Serenko.pdf. 
  5. "About OOIR: Journal-level data". https://ooir.org/about.php?section=dataquality#journalleveldata. 
  6. Holsapple, Clyde W. (2008). "A publication power approach for identifying premier information systems journals". Journal of the Association for Information Science and Technology (Wiley Online Library) 59 (2): 166–185. doi:10.1002/asi.20679. 
  7. Serenko, Alexander; Jiao, Changquan (2012). "Investigating Information Systems Research in Canada". Canadian Journal of Administrative Sciences (Wiley Online Library) 29: 3–24. doi:10.1002/CJAS.214. http://www.aserenko.com/papers/Serenko_Jiao_IS_Research_Canada.pdf. 
  8. Alhoori, Hamed; Furuta, Richard (2013). Can Social Reference Management Systems Predict a Ranking of Scholarly Venues?. Lecture Notes in Computer Science. 8092. Springer. pp. 138–143. doi:10.1007/978-3-642-40501-3_14. ISBN 978-3-64240-500-6. https://link.springer.com/chapter/10.1007/978-3-642-40501-3_14. 
  9. Cornillier, Fabien; Charles, Vincent (2015). "Measuring the attractiveness of academic journals: A direct influence aggregation model". Operations Research Letters 43 (2): 172–176. doi:10.1016/j.orl.2015.01.007. http://www.optimization-online.org/DB_FILE/2014/04/4306.pdf. 
  10. "Elsevier Announces Enhanced Journal Metrics SNIP and SJR Now Available in Scopus" (Press release). Elsevier. Retrieved 2014-07-27.
  11. Moed, Henk (2010). "Measuring contextual citation impact of scientific journals". Journal of Informetrics (Elsevier) 4 (3): 256–277. doi:10.1016/j.joi.2010.01.002. 
  12. Pinski, Gabriel; Narin, Francis (1976). "Citation influence for journal aggregates of scientific publications: Theory with application to literature of physics". Information Processing and Management 12 (5): 297–312. doi:10.1016/0306-4573(76)90048-0. 
  13. Liebowitz, S. J.; Palmer, J. P. (1984). "Assessing the relative impacts of economics journals". Journal of Economic Literature 22 (1): 77–88. http://www.eco.uc3m.es/english/iue/rankings/10.pdf. 
  14. Palacios-Huerta, Ignacio; Volij, Oscar (2004). "The Measurement of Intellectual Influence". Econometrica 72 (3): 963–977. doi:10.1111/j.1468-0262.2004.00519.x. 
  15. Kodrzycki, Yolanda K.; Yu, Pingkang (2006). "New Approaches to Ranking Economics Journals". Contributions to Economic Analysis & Policy 5 (1). doi:10.2202/1538-0645.1520. 
  16. Bollen, Johan; Rodriguez, Marko A.; Van De Sompel, Herbert (December 2006). "MESUR: Usage-based metrics of scholarly impact". Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries. 69. 669–687. doi:10.1145/1255175.1255273. ISBN 978-1-59593-644-8. Bibcode2006cs........1030B. 
  17. Bergstrom, C. T. (May 2007). "Eigenfactor: Measuring the value and prestige of scholarly journals". College & Research Libraries News 68 (5): 314–316. doi:10.5860/crln.68.5.7804. 
  18. West, Jevin Darwin. "Eigenfactor.org". Eigenfactor. http://www.eigenfactor.org. 
  19. Espeland, Wendy Nelson; Sauder, Michael (2007). "Rankings and Reactivity: How Public Measures Recreate Social Worlds". American Journal of Sociology 113: 1–40. doi:10.1086/517897. 
  20. Grant, David B.; Kovács, Gyöngyi; Spens, Karen (2018). "Questionable research practices in academia: Antecedents and consequences". European Business Review 30 (2): 101–127. doi:10.1108/EBR-12-2016-0155. https://hull-repository.worktribe.com/output/456330. 
  21. Brembs, Björn (2018). "Prestigious Science Journals Struggle to Reach Even Average Reliability". Frontiers in Human Neuroscience 12: 37. doi:10.3389/fnhum.2018.00037. PMID 29515380. 
  22. Triggle, Chris R; MacDonald, Ross; Triggle, David J.; Grierson, Donald (2022-04-03). "Requiem for impact factors and high publication charges". Accountability in Research 29 (3): 133–164. doi:10.1080/08989621.2021.1909481. PMID 33787413. "One might expect, therefore, that a high JIF factor indicates a higher standard of interest, accuracy and reliability of papers published therein. This is sometimes true but unfortunately is certainly not always the case (Brembs 2018, 2019). Thus, Björn Brembs (2019) concluded: “There is a growing body of evidence against our subjective notion of more prestigious journals publishing ‘better’ science. In fact, the most prestigious journals may be publishing the least reliable science.”". 
  23. McKinnon, Alan C. (2017). "Starry-eyed II: The logistics journal ranking debate revisited". International Journal of Physical Distribution & Logistics Management 47 (6): 431–446. doi:10.1108/IJPDLM-02-2017-0097. 
  24. Aquino-Canchari, Christian Renzo; Ospina-Meza, Richard Fredi; Guillen-Macedo, Karla (2020-07-30). "Las 100 revistas de mayor impacto sobre farmacología, toxicología y farmacia". Revista Cubana de Investigaciones Biomédicas 39 (3). ISSN 1561-3011. http://www.revibiomedica.sld.cu/index.php/ibi/article/view/679. 
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  27. Serenko, Alexander; Bontis, Nick (2024). "Dancing with the Devil: The use and perceptions of academic journal ranking lists in the management field". Journal of Documentation in-press. doi:10.1108/JD-10-2023-0217. http://www.aserenko.com/papers/Serenko_Journal_Rankings_Perceptions.pdf. 
  28. "Australian Research Council ranking of journals worldwide". 2011-06-12. http://www.arc.gov.au/era/default.htm. 
  29. Li, Xiancheng; Rong, Wenge; Shi, Haoran; Tang, Jie; Xiong, Zhang (2018-05-11). "The impact of conference ranking systems in computer science: a comparative regression analysis". Scientometrics (Springer Science and Business Media LLC) 116 (2): 879–907. doi:10.1007/s11192-018-2763-1. ISSN 0138-9130. 
  30. "CORE Rankings Portal". https://www.core.edu.au/conference-portal. 
  31. "Uddannelses- og Forskningsministeriet". https://ufm.dk/en/research-and-innovation/statistics-and-analyses/bibliometric-research-indicator/bfi-lists?set_language=en. 
  32. "Julkaisufoorumi". December 2023. https://www.julkaisufoorumi.fi/en. 
  33. "Search in Norwegian List | Norwegian Register". https://kanalregister.hkdir.no/publiseringskanaler/KanalTreffliste.action?request_locale=en&a=true&tv=true. 
  34. "Rating of Scientific Journals – ANVUR – Agenzia Nazionale di Valutazione del Sistema Universitario e della Ricerca". https://www.anvur.it/en/activities/rating-of-scientific-journals/. 
  35. "Chartered Association of Business Schools – Academic Journal Guide". https://charteredabs.org/topic/academic-journal-guide/. 
  36. "List of HEC Recognized Journals". https://library.comsats.edu.pk/hec_journals.aspx/. 
  37. "NAAS Score of Science Journals". 2022-01-01. http://naas.org.in/NJS/journals2022.pdf. 
  38. "Polish Ministry of Higher Education and Science (2019)". https://www.gov.pl/web/edukacja-i-nauka/komunikat-ministra-nauki-i-szkolnictwa-wyzszego-z-dnia-31-lipca-2019-r-w-sprawie-wykazu-czasopism-naukowych-i-recenzowanych-materialow-z-konferencji-miedzynarodowych-wraz-z-przypisana-liczba-punktow2. 
  39. "Polish Ministry of Higher Education and Science (2021)". https://www.gov.pl/web/edukacja-i-nauka/nowy-rozszerzony-wykaz-czasopism-naukowych-i-recenzowanych-materialow-z-konferencji-miedzynarodowych. 
  40. Pontille, David; Torny, Didier (2010). "The controversial policies of journal ratings: Evaluating social sciences and humanities". Research Evaluation 19 (5): 347–360. doi:10.3152/095820210X12809191250889. http://halshs.archives-ouvertes.fr/halshs-00568746/fr/.