Jan Eisner

31 papers receiving 276 citations

Peers

Jan Eisner
Comparison fields: 5 of 47
  • Modeling and Simulation 23
  • Public Health, Environmental and Occupational Health 127
  • Genetics 104
  • Computer Networks and Communications 90
  • Computational Theory and Mathematics 56
Replace Qizhen Xiao with:
Qizhen Xiao China
Pablo Padilla Mexico
Frédéric Grognard France
Xiaoqin P. Wu China
Mark Pernarowski United States
Aaron Klebanoff United States
Elaine Crooks United Kingdom
Olivier Bonnefon France
Hideo Sakaguchi Japan
Jan Eisner relative to Qizhen Xiao China Qizhen Xiao's profile →
Citations per field
00.5×3.4×
Qizhen Xiao · 1×
Citations per year

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-authors

The 14 scholars most cited alongside Jan Eisner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Eisner Line = papers co-authored together Jan Eisner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 200361
3 201118
4 201015
5 200515
6 200215
7 200911
8 199710
9 202110
10 20029
11 20116
12 20096
13 20006
14 20046
15 20096
16 20016
17 20035
18 20244
19 20014
20 20034

About Jan Eisner

Jan Eisner is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Genetics and Applied Mathematics, having authored 37 papers that have together received 310 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Advanced Mathematical Modeling in Engineering (8 papers), Contact Mechanics and Variational Inequalities (8 papers), Evolution and Genetic Dynamics (7 papers), Stability and Controllability of Differential Equations (5 papers), Nonlinear Partial Differential Equations (4 papers) and Optimization and Variational Analysis (4 papers). The work is most often cited by research in Modeling and Simulation (23 citations), Public Health, Environmental and Occupational Health (127 citations), Genetics (104 citations), Computer Networks and Communications (90 citations) and Computational Theory and Mathematics (56 citations). Jan Eisner has collaborated with scholars based in Czechia, Germany and United States. Frequent co-authors include Vlastimil Křivan, Milan Kučera, Martin Väth, Lutz Recke, Karel Janko, Pavel Drozd, Luděk Berec, Edita Janková Drdová, Petr Cígler and Martin Mokrejš. Their work appears in journals such as Nonlinear Analysis, Journal of Mathematical Analysis and Applications, Differential and Integral Equations, Journal of Theoretical Biology and Theoretical Population Biology.

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.

Explore authors with similar magnitude of impact