Ohad Vilk
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
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- stochastic dynamics and bifurcation
- Statistical Mechanics and Entropy
- Advanced Thermodynamics and Statistical Mechanics
Papers in
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- Diffusion and Search Dynamics 4
- Gene Regulatory Network Analysis 4
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- stochastic dynamics and bifurcation 3
- Complex Network Analysis Techniques 2
- Co-authors
- Michael Assaf (8 shared papers)Ran Nathan (4 shared papers)Ralf Metzler (3 shared papers)Erez Aghion (2 shared papers)Sivan Toledo (3 shared papers)Carsten Beta (1 shared paper)Matthias Weiß (1 shared paper)Tal Avgar (1 shared paper)
- Journals
- Physical review. E (5 papers)Physical Review Research (2 papers)Physical Review X (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- IsraelGermanySouth Korea
In The Last Decade
Ohad Vilk
8 papers receiving 136 citations
Peers
Comparison fields: 5 of 52
- Modeling and Simulation 62
- Statistical and Nonlinear Physics 77
- Computational Mathematics 2
- Developmental Biology 3
- Condensed Matter Physics 15
Countries citing papers authored by Ohad Vilk
This map shows the geographic impact of Ohad Vilk'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 Ohad Vilk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ohad Vilk more than expected).
Fields of papers citing papers by Ohad Vilk
This network shows the impact of papers produced by Ohad Vilk. 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 Ohad Vilk. The network helps show where Ohad Vilk may publish in the future.
Co-authors
The 16 scholars most cited alongside Ohad Vilk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2022 | 29 | |
| 3 | 2022 | 28 | |
| 4 | 2018 | 6 | |
| 5 | 2020 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 |
About Ohad Vilk
Ohad Vilk is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Ecology, Evolution, Behavior and Systematics, Genetics and Global and Planetary Change, having authored 10 papers that have together received 136 indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (4 papers), Gene Regulatory Network Analysis (4 papers), stochastic dynamics and bifurcation (3 papers), COVID-19 epidemiological studies (2 papers), Plant and animal studies (2 papers), Evolution and Genetic Dynamics (2 papers), Ecosystem dynamics and resilience (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (62 citations), Statistical and Nonlinear Physics (77 citations), Computational Mathematics (2 citations), Developmental Biology (3 citations) and Condensed Matter Physics (15 citations). Ohad Vilk has collaborated with scholars based in Israel, Germany and South Korea. Frequent co-authors include Michael Assaf, Ran Nathan, Ralf Metzler, Erez Aghion, Sivan Toledo, Carsten Beta, Matthias Weiß, Tal Avgar, Diego Krapf and Raphaël Sarfati. Their work appears in journals such as Physical review. E, Physical Review Research, Physical Review X and arXiv (Cornell University).
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.