We apply five majority-rule-based ordinal ranking methods to data on economic, management and political science journals in order to produce aggregate journal rankings. First, we calculate... Show moreWe apply five majority-rule-based ordinal ranking methods to data on economic, management and political science journals in order to produce aggregate journal rankings. First, we calculate aggregates for the set of rankings based on seven popular bibliometric indicators (impact factor, 5-year impact factor, immediacy index, article influence score, h-index, SNIP and SJR). Then, we exclude the Hirsch index and repeat the calculations. We perform the comparative correlation analysis of the aggregates and the initial rankings. We use two rank measures of correlation, Kendall’s tau and the share of coinciding pairs. The analysis demonstrates that aggregate rankings represent the set of single-indicator-based rankings better than any of the seven rankings themselves. Among the single-indicator-based rankings themselves, the best representations of their set are produced by the 5-year impact factor. The least representative are rankings based on the immediacy index. The exclusion of the Hirsch index from the set of indicators does not change these results. Show less
Lisitskaya, T.; Taranov, P.; Ugnich, E.; Pislyakov, V. 2018
The problem of identifying the leading universities in a country is rather easy to solve, one may focus, for example, on highly cited papers or other indicators of excellence. Sometimes it is more... Show moreThe problem of identifying the leading universities in a country is rather easy to solve, one may focus, for example, on highly cited papers or other indicators of excellence. Sometimes it is more challenging to find the universities of "the second wave" which deserve to receive additional support because it may help them to become the most prominent ones, "the firsts". We study progress of the initial phase of such universities, named "pillar" in Russian education system. The first results, measured by 'short-distance bibliometrics', seem to be encouraging. Show less
The paper analyses Russian Index of Science Citation (RISC), a national citation database. We continue our previous study (Moskaleva et al., 2018) and focus on difference between bibliometric... Show moreThe paper analyses Russian Index of Science Citation (RISC), a national citation database. We continue our previous study (Moskaleva et al., 2018) and focus on difference between bibliometric indicators calculated on, so to say, ""the best"" journals, so called RISC Core, and those which take into account all Russian journals available. Such a difference may show focuses of insitutional actors on different document types, publication strategies etc. Show less
Psychology is a discipline standing at the crossroads of hard and social sciences. Therefore it is especially interesting to study bibliometric characteristics of psychology journals. We also take... Show morePsychology is a discipline standing at the crossroads of hard and social sciences. Therefore it is especially interesting to study bibliometric characteristics of psychology journals. We also take two adjacent disciplines, neurosciences and sociology. One is closer to hard sciences, another is a social science. We study not the journal citedness itself (impact factor etc.) but the citation distribution across papers within journals. This is, so to say, ""indicators of the second order"" which measure the digression from the journal’s average of the citations received by individual papers. As is shown, such information about journals may also help authors to correct their publication strategies. Show less
