nep-sog New Economics Papers
on Sociology of Economics
Issue of 2024‒02‒26
two papers chosen by
Jonas Holmström, Axventure AB

  1. Why most journal impact factors are false By Moustafa, Khaled
  2. Could AI change the scientific publishing market once and for all? By Wadim Strielkowski

  1. By: Moustafa, Khaled (Founder & Editor of ArabiXiv)
    Abstract: The Journal Impact Factor (JIF) is a widely used metric for ranking journals based on the number of citations garnered by papers published over a specific timeframe. To assess the accuracy of JIF values, I compared citation counts for 20 of my own publications across six major bibliography databases: CrossRef, Web of Science, Google Scholar, Scopus, PubMed, and Publishing journal records. The analysis revealed noteworthy variations in citation counts, ranging from 10% to over 50% between the lowest and highest citation counts. Google Scholar records the highest citation numbers, while PubMed reported the lowest. Notably, Web of Science, whose citation data are used in JIF calculations, tend to underestimate citation counts compared to other databases. These findings raise concerns about the accuracy of JIF calculation, as currently based on Web of Science’s citation data. The real JIF values for most journals would differ from those annually reported by Clarivate's journal citation reports (JCR). These observations underscore the importance of comprehensive data collection and the necessity to include additional citation sources. Clarivate Analytics may need to consider integrating all citation sources for more accurate JIF values. Alternatively, Google Scholar could potentially develop its own journal or citation impact based on its extensive journal citation records.
    Date: 2024–01–31
  2. By: Wadim Strielkowski
    Abstract: Artificial-intelligence tools in research like ChatGPT are playing an increasingly transformative role in revolutionizing scientific publishing and re-shaping its economic background. They can help academics to tackle such issues as limited space in academic journals, accessibility of knowledge, delayed dissemination, or the exponential growth of academic output. Moreover, AI tools could potentially change scientific communication and academic publishing market as we know them. They can help to promote Open Access (OA) in the form of preprints, dethrone the entrenched journals and publishers, as well as introduce novel approaches to the assessment of research output. It is also imperative that they should do just that, once and for all.
    Date: 2024–01

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