Jan Haškovec

112 total papers · 1.3k total citations
44 papers, 858 citations indexed

About

Jan Haškovec is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Biomedical Engineering. According to data from OpenAlex, Jan Haškovec has authored 44 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Modeling and Simulation, 11 papers in Statistical and Nonlinear Physics and 10 papers in Biomedical Engineering. Recurrent topics in Jan Haškovec's work include Mathematical Biology Tumor Growth (12 papers), Slime Mold and Myxomycetes Research (8 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Jan Haškovec is often cited by papers focused on Mathematical Biology Tumor Growth (12 papers), Slime Mold and Myxomycetes Research (8 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Jan Haškovec collaborates with scholars based in Saudi Arabia, Austria and United Kingdom. Jan Haškovec's co-authors include Christian Schmeiser, Peter A. Markowich, Radek Erban, R. T. Snider, Yongzheng Sun, C. M. Greenfield, Peter K. Trost, C. L. Hsieh, T. N. Carlstrom and J. C. DeBoo and has published in prestigious journals such as Review of Scientific Instruments, Journal of Mathematical Analysis and Applications and Physica D Nonlinear Phenomena.

In The Last Decade

Jan Haškovec

38 papers receiving 791 citations

Author Peers

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

Author						Papers	Cites
Jan Haškovec	311	188	176	163	126	44	858
Shankar C. Venkataramani	56 0.2×	435 2.3×	80 0.5×	51 0.3×	490 3.9×	36	951
Rossen Dandoloff	78 0.3×	47 0.3×	36 0.2×	95 0.6×	352 2.8×	54	980
H.P.W. Gottlieb	49 0.2×	98 0.5×	162 0.9×	104 0.6×	277 2.2×	88	870
A. A. Stanislavsky	50 0.2×	42 0.2×	510 2.9×	53 0.3×	300 2.4×	97	960
Dhagash Mehta	233 0.7×	76 0.4×	8 0.0×	56 0.3×	109 0.9×	74	868
Francesco Esposito	175 0.6×	54 0.3×	37 0.2×	12 0.1×	346 2.7×	84	943
François Gay–Balmaz	49 0.2×	45 0.2×	19 0.1×	95 0.6×	355 2.8×	95	976
V. M. Volosov	23 0.1×	56 0.3×	132 0.8×	50 0.3×	207 1.6×	15	932
Jesús M. Seoane	51 0.2×	205 1.1×	227 1.3×	39 0.2×	555 4.4×	65	887
Waranont Anukool	27 0.1×	49 0.3×	142 0.8×	146 0.9×	229 1.8×	69	737

Countries citing papers authored by Jan Haškovec

Since Specialization

Citations

This map shows the geographic impact of Jan Haškovec'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 Haškovec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Haškovec more than expected).

Fields of papers citing papers by Jan Haškovec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Haškovec. 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 Haškovec. The network helps show where Jan Haškovec may publish in the future.

Co-authorship network of co-authors of Jan Haškovec

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Haškovec. A scholar is included among the top collaborators of Jan Haškovec 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 Haškovec. Jan Haškovec 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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