Stakes are higher, risk is lower: Citation distributions are more equal in high quality journals

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 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.Comment: 9 pages, 4 figures. Published in STI 2018 Proceedings: https://openaccess.leidenuniv.nl/handle/1887/6522

Proposals for evaluating the regularity of a scientist'sresearch output

Evaluating the career of individual scientists according to their scientific output is a common bibliometric problem. Two aspects are classically taken into account: overall productivity and overall diffusion/impact, which can be measured by a plethora of indicators that consider publications and/or citations separately or synthesise these two quantities into a single number (e.g. h-index). A secondary aspect, which is sometimes mentioned in the rules of competitive examinations for research position/promotion, is time regularity of one researcher's scientific output. Despite the fact that it is sometimes invoked, a clear definition of regularity is still lacking. We define it as the ability of generating an active and stable research output over time, in terms of both publications/ quantity and citations/diffusion. The goal of this paper is introducing three analysis tools to perform qualitative/quantitative evaluations on the regularity of one scientist's output in a simple and organic way. These tools are respectively (1) the PY/CY diagram, (2) the publication/citation Ferrers diagram and (3) a simplified procedure for comparing the research output of several scientists according to their publication and citation temporal distributions (Borda's ranking). Description of these tools is supported by several examples

Citescore of publications indexed in Scopus: an implementation of panel data

This article is intended to establish the variables that explain the behavior of the CiteScore metrics from 2014 to 2016, for journals indexed in Scopus in 2017. With this purpose, journals with a CiteScore value greater than 11 were selected in any of the periods, that is to say, 133 journals. For the data analysis, a model of standard corrected errors for panel was used, from which a coefficient of determination of 77% was obtained. From the results, it was possible to state that journals of arts and humanities; business; administration and accounting; economics, econometrics, and finance; immunology and microbiology; medicine and social sciences, have the greatest impact.Corporación Universitaria Minuto de Dios, Fundación Universitaria Konrad Lorenz, Universidad de La Habana, Universidad de la Costa

Regularity in the research output of individual scientists: An empirical analysis by recent bibliometric tools

This paper proposes an empirical analysis of several scientists based on their time regularity, defined as the ability of generating an active and stable research output over time, in terms of both quantity/publications and impact/citations. In particular, we empirically analyse three recent bibliometric tools to perform qualitative/quantitative evaluations under the new perspective of regularity. These tools are respectively (1) the PY/CY diagram, (2) the publication/citation Ferrers diagram and triad indicators, and (3) a year-by-year comparison of the scientists' output (Borda's ranking). Results of the regularity analysis are then compared with those obtained under the classical perspective of overall production. The proposed evaluation tools can be applied to competitive examinations for research position/promotion, as complementary instruments to the commonly adopted bibliometric technique

Life Cycle and Cohort Productivity in Economic Research: The Case of Germany

We examine the research productivity of German academic economists over their life cycles. It turns out that the career-patterns of research productivity as measured by journal publications are characterized by marked cohort effects. Moreover, the life-cycles of younger German economists are hump-shaped and closely resemble the life cycles identified for U.S. economists, whereas the life-cycles of older German economists are much flatter. Finally, we find that not only productivity, but also research quality follows distinct life cycles. Our study employs econometric techniques that are likely to produce estimates that are more trustworthy than previous estimates.research productivity, life cycles, cohort effects

Temporal and spatial relations between patents and scientific journal articles: the case of nanotechnologies

Patent citations have been widely used in order to study inter-technology and science-technology relations. The present work aims at: i) exploring time relations and distance between technical/innovative activities and scientific knowledge, using journal articles citations in patents as a proxy; ii) exploring the origin of the knowledge cited in patents. The study is performed on a field particularly relevant both on the scientific and technological side, that of nanosciences and nanotechnologies. In parallel a field less on the edge of research (polymers) is studied in order to compare results and shed better light on what is happening in nanotech. Studied items show a common behaviour and a higher rate of citations and a shorter time lag between citing patents and cited articles for nanotechnologies rather than for polymers. Knowledge cited in patents shows in many cases a common origin with that of citing documents. Conclusions on these behaviours are drawn.Patent-research relations, Patent, Journal Article, Nanoscience, Nanotechnologies, Polymers, Technological trajectories, Data mining, Innovation, Knowledge diffusion