Akhil Kumar Srivastav
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 1%
- Infectious Diseases top 10%
- Genetics
- Sociology and Political Science
- Co-authors
- Mini GhoshPrashant K. SrivastavaNico StollenwerkMaíra AguiarBob W. KooiPankaj Kumar TiwariYun KangDamián Knopoff
- Topics
- COVID-19 epidemiological studies (18 papers)Mathematical and Theoretical Epidemiology and Ecology Models (16 papers)Viral Infections and Vectors (9 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsChaos Solitons & Fractals
In The Last Decade
Akhil Kumar Srivastav
25 papers receiving 338 citations
Peers
Comparison fields: 5 of 55
- Public Health, Environmental and Occupational Health 265
- Modeling and Simulation 238
- Infectious Diseases 126
- Genetics 40
- Sociology and Political Science 24
Countries citing papers authored by Akhil Kumar Srivastav
This map shows the geographic impact of Akhil Kumar Srivastav'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 Akhil Kumar Srivastav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Kumar Srivastav more than expected).
Fields of papers citing papers by Akhil Kumar Srivastav
This network shows the impact of papers produced by Akhil Kumar Srivastav. 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 Akhil Kumar Srivastav. The network helps show where Akhil Kumar Srivastav may publish in the future.
Co-authorship network of co-authors of Akhil Kumar Srivastav
This figure shows the co-authorship network connecting the top 25 collaborators of Akhil Kumar Srivastav. A scholar is included among the top collaborators of Akhil Kumar Srivastav 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 Akhil Kumar Srivastav. Akhil Kumar Srivastav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 83 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | Modeling the Impact of case detection on the transmission dynamics of tuberculosis | 1 |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 50 | |
| 17 | 15 | |
| 18 | 18 | |
| 19 | 8 | |
| 20 | 7 |
About Akhil Kumar Srivastav
Akhil Kumar Srivastav is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 345 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Mathematical and Theoretical Epidemiology and Ecology Models (16 papers) and Viral Infections and Vectors (9 papers). The work is most often cited by research in Modeling and Simulation (238 citations), Public Health, Environmental and Occupational Health (265 citations) and Infectious Diseases (126 citations). Akhil Kumar Srivastav has collaborated with scholars based in India, Spain and Italy. Frequent co-authors include Mini Ghosh, Prashant K. Srivastava, Nico Stollenwerk, Maíra Aguiar, Bob W. Kooi, Pankaj Kumar Tiwari, Yun Kang, Damián Knopoff, Konstantin B. Blyuss and Peeyush Chandra. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chaos Solitons & Fractals.
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.