E. Ya. Frisman

628 total citations
95 papers, 466 citations indexed

About

E. Ya. Frisman is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Ecology. According to data from OpenAlex, E. Ya. Frisman has authored 95 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Public Health, Environmental and Occupational Health, 41 papers in Genetics and 28 papers in Ecology. Recurrent topics in E. Ya. Frisman's work include Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), Evolution and Genetic Dynamics (38 papers) and Evolutionary Game Theory and Cooperation (21 papers). E. Ya. Frisman is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (56 papers), Evolution and Genetic Dynamics (38 papers) and Evolutionary Game Theory and Cooperation (21 papers). E. Ya. Frisman collaborates with scholars based in Russia, India and Slovakia. E. Ya. Frisman's co-authors include О. Л. Жданова, Bapan Ghosh, Olivér Rácz, Jennifer M. Babik and Yu. N. Zhuravlev and has published in prestigious journals such as Journal of Theoretical Biology, Ecological Modelling and Nonlinear Dynamics.

In The Last Decade

E. Ya. Frisman

73 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Ya. Frisman Russia 12 323 215 127 116 97 95 466
О. Л. Жданова Russia 9 127 0.4× 202 0.9× 65 0.5× 41 0.4× 77 0.8× 51 294
P. D. N. Srinivasu India 14 593 1.8× 464 2.2× 152 1.2× 65 0.6× 176 1.8× 26 692
Nazmul Sk India 12 269 0.8× 211 1.0× 98 0.8× 60 0.5× 29 0.3× 25 336
Peter Turchin 2 135 0.4× 136 0.6× 49 0.4× 75 0.6× 153 1.6× 3 362
Yadigar Sekerci Türkiye 9 143 0.4× 57 0.3× 19 0.1× 82 0.7× 39 0.4× 19 313
David E. Hiebeler United States 12 114 0.4× 139 0.6× 64 0.5× 131 1.1× 232 2.4× 27 574
Archana Ojha India 10 112 0.3× 73 0.3× 22 0.2× 21 0.2× 46 0.5× 20 234
Janica Ylikarjula Finland 7 86 0.3× 118 0.5× 32 0.3× 98 0.8× 142 1.5× 9 318
Daniel Bearup United Kingdom 13 44 0.1× 106 0.5× 72 0.6× 69 0.6× 163 1.7× 34 432
Xiaoying Wang Canada 8 760 2.4× 634 2.9× 281 2.2× 54 0.5× 115 1.2× 18 840

Countries citing papers authored by E. Ya. Frisman

Since Specialization
Citations

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

Fields of papers citing papers by E. Ya. Frisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Ya. Frisman. 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 E. Ya. Frisman. The network helps show where E. Ya. Frisman may publish in the future.

Co-authorship network of co-authors of E. Ya. Frisman

This figure shows the co-authorship network connecting the top 25 collaborators of E. Ya. Frisman. A scholar is included among the top collaborators of E. Ya. Frisman 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 E. Ya. Frisman. E. Ya. Frisman 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
1.
Frisman, E. Ya., et al.. (2025). Fluctuations in real population sizes: Mathematical modeling and estimation of demographic parameters. Ecological Modelling. 507. 111175–111175.
2.
Frisman, E. Ya., et al.. (2024). Evolutionary Dynamics of a Two-Stage Population with Density-Dependent Regulation of the Survival of Reproductive Individuals. Mathematical Biology and Bioinformatics. 19(2). 293–303.
3.
Frisman, E. Ya., et al.. (2024). Discrete-Time Model of an Exploited Population with Age and Sex Structures: Instability and the Hydra Effect. Mathematics. 12(4). 535–535. 3 indexed citations
4.
Жданова, О. Л., et al.. (2023). The Evolutionary Dynamics of a Sex-Structured Population with Non-Overlapping Generations. Mathematics. 11(24). 4971–4971. 1 indexed citations
5.
Frisman, E. Ya., et al.. (2023). Transition from Bi- to Quadro-Stability in Models of Population Dynamics and Evolution. Mathematics. 11(19). 4134–4134. 2 indexed citations
6.
Жданова, О. Л., et al.. (2022). Evolutionary dynamics of structured populations with density-dependent limitation of juvenile survival. Communications in Nonlinear Science and Numerical Simulation. 109. 106272–106272. 4 indexed citations
7.
Жданова, О. Л., et al.. (2022). The Harvest Effect on Dynamics of Northern Fur Seal Population: Mathematical Modeling and Data Analysis Results. Mathematics. 10(17). 3067–3067. 1 indexed citations
8.
9.
Frisman, E. Ya., et al.. (2022). Simple and complex dynamics in the model of evolution of two populations coupled by migration with non-overlapping generations. Izvestiya VUZ Applied Nonlinear Dynamics. 30(2). 208–232. 5 indexed citations
10.
Frisman, E. Ya., et al.. (2021). Mathematical Modeling of Population Dynamics Based on Recurrent Equations: Results and Prospects. Part I. Biology Bulletin. 48(1). 1–15. 8 indexed citations
11.
Жданова, О. Л., et al.. (2020). Dynamics of Predator-Prey Community with Age Structures and Its Changing Due To Harvesting. Mathematical Biology and Bioinformatics. 15(1). 73–92. 1 indexed citations
12.
Жданова, О. Л., et al.. (2020). Effects of natural selection by fertility on the evolution of the dynamic modes of population number: bistability and multistability. Nonlinear Dynamics. 101(1). 687–709. 8 indexed citations
13.
Жданова, О. Л., et al.. (2019). Dynamics of a discrete-time stage-structured predator–prey system with Holling type II response function. Nonlinear Dynamics. 98(1). 427–446. 12 indexed citations
14.
Frisman, E. Ya., et al.. (2018). Clustering and chimeras in the model of the spatial-temporal dynamics of agestructured populations. Nonlinear Dynamics. 14(1). 13–31. 1 indexed citations
15.
Frisman, E. Ya., et al.. (2017). Changing of the dynamics modes in populations with age and sex structure. Doklady Biological Sciences. 477(1). 239–243. 6 indexed citations
16.
Frisman, E. Ya., et al.. (2016). Two-cycles of the Ricker model with the periodic Malthusian parameter: stability and multistability. Nonlinear Dynamics. 12(4). 553–565. 4 indexed citations
17.
Frisman, E. Ya., et al.. (2015). Multimode phenomenon in the population dynamics of animals with short live cycles. Doklady Biological Sciences. 460(1). 42–47. 19 indexed citations
18.
Frisman, E. Ya., et al.. (2014). Multistability in dynamic models of migration coupled populations with an age structure. Nelineinaya Dinamika. 407–425. 12 indexed citations
19.
Zhuravlev, Yu. N., et al.. (2011). Heterogeneity of the spatial distribution of the primordial organic substance as an initial stage of biological evolution. BIOPHYSICS. 56(1). 119–124. 1 indexed citations
20.
Frisman, E. Ya., et al.. (1977). [Possibility of fixation of polymorphism by means of fertilization. Mathematical model].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 233(5). 954–7. 1 indexed citations

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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