Samarth Swarup
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 21
- Health top 5%
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- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 12
- Linguistics and Language top 10%
- Transportation top 10%
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- Evacuation and Crowd Dynamics 11
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- Language and cultural evolution 9
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- Disaster Management and Resilience 9
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- Influenza Virus Research Studies 8
- Data-Driven Disease Surveillance 8
- Co-authors
- Madhav MaratheAchla MaratheKaja AbbasGloria J. KangLes GasserJames SchlittStephen EubankKiran Lakkaraju
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Samarth Swarup
82 papers receiving 930 citations
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 170
- Health 130
- Statistical and Nonlinear Physics 157
- Linguistics and Language 41
- Transportation 47
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
The 25 scholars most cited alongside Samarth Swarup, 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 | 2024 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 26 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 2 | |
| 8 | Live Simulations | 2020 | 2 |
| 9 | 2019 | 20 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 2 | |
| 12 | 2018 | 35 | |
| 13 | 2017 | 32 | |
| 14 | 2017 | 3 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 11 | |
| 17 | Modeling the Effects of Transient Populations on Epidemics | 2012 | 2 |
| 18 | Inhibiting the Diffusion of Contagions in Bi-Threshold Systems: Analytical and Experimental Results | 2011 | 5 |
| 19 | 2011 | 5 | |
| 20 | Cross-domain knowledge transfer using structured representations | 2006 | 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), Opinion Dynamics and Social Influence (12 papers), Evacuation and Crowd Dynamics (11 papers), Language and cultural evolution (9 papers), Disaster Management and Resilience (9 papers), Influenza Virus Research Studies (8 papers) and Data-Driven Disease Surveillance (8 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.
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.