Pijush Panday
Impact in
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- Mathematical and Theoretical Epidemiology and Ecology Models
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Fractional Differential Equations Solutions
Papers in
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- Mathematical and Theoretical Epidemiology and Ecology Models 7
- Genetics 7
- Evolution and Genetic Dynamics 7
- Co-authors
- Nikhil Pal (6 shared papers)Joydev Chattopadhyay (6 shared papers)Sudip Samanta (5 shared papers)Piotr Tryjanowski (1 shared paper)Soumitra Pal (1 shared paper)N. C. Pati (1 shared paper)Joydev Chattopadhyay (1 shared paper)Saheb Pal (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (1 paper)International Journal of Biomathematics (1 paper)International Journal of Bifurcation and Chaos (1 paper)Journal of Theoretical Biology (1 paper)Mathematics and Computers in Simulation (1 paper)
- Partner nations
- IndiaSaudi ArabiaCanada
In The Last Decade
Pijush Panday
7 papers receiving 401 citations
Peers
Comparison fields: 5 of 41
- Public Health, Environmental and Occupational Health 369
- Modeling and Simulation 63
- Genetics 309
- Sociology and Political Science 144
- Ecology 62
Countries citing papers authored by Pijush Panday
This map shows the geographic impact of Pijush Panday'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 Pijush Panday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pijush Panday more than expected).
Fields of papers citing papers by Pijush Panday
This network shows the impact of papers produced by Pijush Panday. 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 Pijush Panday. The network helps show where Pijush Panday may publish in the future.
Co-authors
The 8 scholars most cited alongside Pijush Panday, 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 | 2018 | 176 | |
| 2 | 2019 | 87 | |
| 3 | 2019 | 44 | |
| 4 | 2021 | 41 | |
| 5 | 2020 | 27 | |
| 6 | 2023 | 23 | |
| 7 | 2019 | 7 |
About Pijush Panday
Pijush Panday is a scholar working on Public Health, Environmental and Occupational Health, Genetics, Sociology and Political Science, Ecology and Global and Planetary Change, having authored 7 papers that have together received 405 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Evolutionary Game Theory and Cooperation (3 papers), Animal Ecology and Behavior Studies (2 papers), COVID-19 epidemiological studies (1 paper) and Ecosystem dynamics and resilience (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (369 citations), Modeling and Simulation (63 citations), Genetics (309 citations), Sociology and Political Science (144 citations) and Ecology (62 citations). Pijush Panday has collaborated with scholars based in India, Saudi Arabia and Canada. Frequent co-authors include Nikhil Pal, Joydev Chattopadhyay, Sudip Samanta, Piotr Tryjanowski, Soumitra Pal, N. C. Pati, Joydev Chattopadhyay and Saheb Pal. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, International Journal of Biomathematics, International Journal of Bifurcation and Chaos, Journal of Theoretical Biology and Mathematics and Computers in Simulation.
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.