Jayanta Mondal
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 10%
- Genetics
- Economics and Econometrics
- Co-authors
- Subhas KhajanchiPiu SamuiAmar Nath ChatterjeeKankan SarkarSayed F. AbdelwahabKottakkaran Sooppy NisarFahad Al BasirIlyas Khan
- Topics
- COVID-19 epidemiological studies (13 papers)Mathematical and Theoretical Epidemiology and Ecology Models (12 papers)SARS-CoV-2 and COVID-19 Research (9 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- IndiaSaudi ArabiaTürkiye
In The Last Decade
Jayanta Mondal
20 papers receiving 521 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 433
- Public Health, Environmental and Occupational Health 294
- Infectious Diseases 212
- Genetics 56
- Economics and Econometrics 56
Countries citing papers authored by Jayanta Mondal
This map shows the geographic impact of Jayanta Mondal'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 Jayanta Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayanta Mondal more than expected).
Fields of papers citing papers by Jayanta Mondal
This network shows the impact of papers produced by Jayanta Mondal. 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 Jayanta Mondal. The network helps show where Jayanta Mondal may publish in the future.
Co-authorship network of co-authors of Jayanta Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Jayanta Mondal. A scholar is included among the top collaborators of Jayanta Mondal 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 Jayanta Mondal. Jayanta Mondal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 27 | |
| 9 | 15 | |
| 10 | 54 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 21 | |
| 15 | 43 | |
| 16 | 98 | |
| 17 | 203 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | 4 |
About Jayanta Mondal
Jayanta Mondal is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 533 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Modeling and Simulation (433 citations), Infectious Diseases (212 citations) and Public Health, Environmental and Occupational Health (294 citations). Jayanta Mondal has collaborated with scholars based in India, Saudi Arabia and Türkiye. Frequent co-authors include Subhas Khajanchi, Piu Samui, Amar Nath Chatterjee, Kankan Sarkar, Sayed F. Abdelwahab, Kottakkaran Sooppy Nisar, Fahad Al Basir, Ilyas Khan, Bo Wang and Abdullahi Yusuf. Their work appears in journals such as Chaos Solitons & Fractals, Nonlinear Dynamics and Applied Mathematical Modelling.
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.