Samarth Swarup
- Sociology and Political Science top 10%
- Artificial Intelligence top 10%
- Modeling and Simulation top 2%
- Statistical and Nonlinear Physics top 5%
- Health top 5%
- Co-authors
- Madhav MaratheAchla MaratheKaja AbbasGloria J. KangLes GasserJames SchlittStephen EubankKiran Lakkaraju
- Topics
- COVID-19 epidemiological studies (21 papers)Complex Network Analysis Techniques (12 papers)Opinion Dynamics and Social Influence (12 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Samarth Swarup
82 papers receiving 930 citations
Peers
Comparison fields: 5 of 125
- Sociology and Political Science 239
- Artificial Intelligence 194
- Modeling and Simulation 170
- Statistical and Nonlinear Physics 157
- Health 130
Countries citing papers authored by Samarth Swarup
This map shows the geographic impact of Samarth Swarup'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 Samarth Swarup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samarth Swarup more than expected).
Fields of papers citing papers by Samarth Swarup
This network shows the impact of papers produced by Samarth Swarup. 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 Samarth Swarup. The network helps show where Samarth Swarup may publish in the future.
Co-authorship network of co-authors of Samarth Swarup
This figure shows the co-authorship network connecting the top 25 collaborators of Samarth Swarup. A scholar is included among the top collaborators of Samarth Swarup 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 Samarth Swarup. Samarth Swarup 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 | 7 | |
| 3 | 6 | |
| 4 | 26 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | Live Simulations | 2 |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 32 | |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | Modeling the Effects of Transient Populations on Epidemics | 2 |
| 18 | Inhibiting the Diffusion of Contagions in Bi-Threshold Systems: Analytical and Experimental Results | 5 |
| 19 | 5 | |
| 20 | Cross-domain knowledge transfer using structured representations | 12 |
About Samarth Swarup
Samarth Swarup is a scholar working on Modeling and Simulation, Transportation and Statistical and Nonlinear Physics, having authored 89 papers that have together received 976 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (21 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in Modeling and Simulation (170 citations), Health (130 citations) and Statistical and Nonlinear Physics (157 citations). Samarth Swarup has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Madhav Marathe, Achla Marathe, Kaja Abbas, Gloria J. Kang, Les Gasser, James Schlitt, Stephen Eubank, Kiran Lakkaraju, Anil Vullikanti and Zsuzsanna Fagyal. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.
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.