Jan Haškovec

1.3k total citations
45 papers, 868 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 45 papers receiving a total of 868 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 Gene Regulatory Network Analysis (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 Gene Regulatory Network Analysis (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. L. Hsieh, J. C. DeBoo, T. N. Carlstrom, Massimo Fornasier and Peter K. Trost 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 801 citations

Peers

Jan Haškovec
Comparison fields: 5 of 60
  • Nuclear and High Energy Physics 312
  • Computer Networks and Communications 191
  • Modeling and Simulation 177
  • Biomedical Engineering 165
  • Statistical and Nonlinear Physics 125
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Shankar C. Venkataramani United States
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Citations per field, relative to Jan Haškovec
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Citations per year, relative to Jan Haškovec
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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

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 0
5 6
6 1
7 3
8 14
9 2
10
Delayed Cucker-Smale model with and without noise revisited
1
11 12
12 3
13 100
14 15
15 14
16 2
17 29
18 0
19 283
20
Operational experience with the DIII-D neutral beam 12 cm x 48 cm common long pulse source
4

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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