Abhinav Tushar
About
In The Last Decade
Abhinav Tushar
4 papers receiving 249 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 168
- Epidemiology 139
- Infectious Diseases 44
- Artificial Intelligence 31
- Public Health, Environmental and Occupational Health 29
Countries citing papers authored by Abhinav Tushar
This map shows the geographic impact of Abhinav Tushar'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 Abhinav Tushar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Tushar more than expected).
Fields of papers citing papers by Abhinav Tushar
This network shows the impact of papers produced by Abhinav Tushar. 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 Abhinav Tushar. The network helps show where Abhinav Tushar may publish in the future.
Co-authorship network of co-authors of Abhinav Tushar
This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Tushar. A scholar is included among the top collaborators of Abhinav Tushar 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 Abhinav Tushar. Abhinav Tushar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 95 | |
| 2 | 145 | |
| 3 | 6 | |
| 4 | 8 |
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.