Jan Eisner

60 total papers · 406 total citations
35 papers, 280 citations indexed

About

Jan Eisner is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jan Eisner has authored 35 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 9 papers in Computer Networks and Communications and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jan Eisner's work include Nonlinear Dynamics and Pattern Formation (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Jan Eisner is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Advanced Mathematical Modeling in Engineering (8 papers). Jan Eisner collaborates with scholars based in Czechia, Germany and United States. Jan Eisner's co-authors include Vlastimil Křivan, Milan Kučera, Lutz Recke, Martin Väth, Karel Janko, Pavel Drozd, Luděk Berec, Peter Mikulíček, Petr Cígler and Martin Mokrejš and has published in prestigious journals such as Nature Communications, Scientific Reports and Molecular Biology and Evolution.

In The Last Decade

Jan Eisner

29 papers receiving 257 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jan Eisner	122	100	86	51	49	35	280
Xiao Yu	198 1.6×	99 1.0×	50 0.6×	17 0.3×	20 0.4×	20	270
Pablo Padilla	38 0.3×	27 0.3×	91 1.1×	55 1.1×	44 0.9×	28	284
Felix Albrecht	107 0.9×	69 0.7×	32 0.4×	19 0.4×	8 0.2×	26	252
Gonzalo Robledo	148 1.2×	63 0.6×	57 0.7×	30 0.6×	4 0.1×	37	320
Laurent Desvillettes	137 1.1×	88 0.9×	26 0.3×	38 0.7×	3 0.1×	21	292
Elaine Crooks	124 1.0×	36 0.4×	20 0.2×	45 0.9×	10 0.2×	27	231
Angelika Wörz-Busekros	108 0.9×	63 0.6×	22 0.3×	65 1.3×	5 0.1×	13	301
Jin Yang	179 1.5×	90 0.9×	65 0.8×	10 0.2×	3 0.1×	40	306
Jeffrey J. Morgan	98 0.8×	71 0.7×	20 0.2×	17 0.3×	6 0.1×	23	290
Laila M Assas	83 0.7×	66 0.7×	26 0.3×	5 0.1×	13 0.3×	17	299

Countries citing papers authored by Jan Eisner

Since Specialization

Citations

This map shows the geographic impact of Jan Eisner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Eisner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Eisner more than expected).

Fields of papers citing papers by Jan Eisner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Eisner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Eisner. The network helps show where Jan Eisner may publish in the future.

Co-authorship network of co-authors of Jan Eisner

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Eisner. A scholar is included among the top collaborators of Jan Eisner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Eisner. Jan Eisner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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