The Importance of Conference Proceedings in Research Evaluation: A Methodology for Assessing Conference Impact

Conferences are an essential tool for scientific communication. In disciplines such as Computer Science the majority of original research results are published in conference proceedings. In this study, we have analyzed the role of conference proceedings in various disciplines and propose an alternative approach to research evaluation based on conference proceedings sources indexed in Scopus and Scimago Journal Rank (SJR). This allows one to categorize conference proceedings in quartiles Q1–Q4 by analogy with SJR journal quartiles. Out of 171 conference proceedings sources analyzed, 38 conference proceedings in Engineering (45% of the list) and 23 in Computer Science (32% of the list) have an SJR level corresponding to the first quartile journals in these areas, which emphasizes the exceptional importance of conferences in these disciplines The comparison of this bibliometric-driven ranking with the expert-driven CORE ranking in Computer Science showed a 62% overlap, as well as a significant average rank correlation of the category distribution. © 2022, Springer Nature Switzerland AG

Statistical model and method for analyzing AI conference rankings: China vs USA

Artificial Intelligence (AI) is a rapidly developing field of research that attracts significant funding from both the state and industry players. Such interest is driven by a wide range of AI technology applications in many fields. Since many AI research topics relate to computer science, where a significant share of research results are published in conference proceedings, the same applies to AI. The world leaders in artificial intelligence research are China and the United States. The authors conducted a comparative analysis of the bibliometric indicators of AI conference papers from these two countries based on Scopus data. The analysis aimed to identify conferences that receive above-average citation rates and suggest publication strategies for authors from these countries to participate in conferences that are likely to provide better dissemination of their research results. The results showed that, although Chinese researchers publish more AI papers than those from the United States, US conference papers are cited more frequently. The authors also conducted a correlation analysis of the MNCS index, which revealed no high correlation between MNCS USA vs. MNCS China, MNCS China/MNCS USA vs. MSAR, and MNCS China/MNCS USA vs. CORE ranking indicators.Merit, Expertise and Measuremen