Samarth Swarup

1.9k total citations
89 papers, 976 citations indexed

About

Samarth Swarup is a scholar working on Modeling and Simulation, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Samarth Swarup has authored 89 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Modeling and Simulation, 17 papers in Sociology and Political Science and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Samarth Swarup's work include COVID-19 epidemiological studies (21 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (12 papers). Samarth Swarup is often cited by papers focused on COVID-19 epidemiological studies (21 papers), Complex Network Analysis Techniques (12 papers) and Opinion Dynamics and Social Influence (12 papers). Samarth Swarup collaborates with scholars based in United States, United Kingdom and Netherlands. Samarth Swarup's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Samarth Swarup

82 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samarth Swarup United States 16 239 194 170 157 130 89 976
Adam Sadilek United States 17 150 0.6× 336 1.7× 262 1.5× 154 1.0× 46 0.4× 31 1.4k
Riccardo Gallotti Italy 15 335 1.4× 123 0.6× 120 0.7× 251 1.6× 94 0.7× 41 1.2k
Jalal S. Alowibdi Saudi Arabia 16 205 0.9× 363 1.9× 209 1.2× 82 0.5× 134 1.0× 39 1.4k
Chung‐hong Chan Hong Kong 18 526 2.2× 258 1.3× 40 0.2× 140 0.9× 102 0.8× 60 1.2k
Armin R. Mikler United States 12 126 0.5× 94 0.5× 127 0.7× 62 0.4× 49 0.4× 73 666
Mark Cameron Australia 10 491 2.1× 343 1.8× 48 0.3× 274 1.7× 78 0.6× 23 1.6k
Benyun Shi China 16 113 0.5× 154 0.8× 193 1.1× 79 0.5× 19 0.1× 74 807
André Panisson Italy 15 148 0.6× 143 0.7× 59 0.3× 187 1.2× 35 0.3× 35 730
Vanessa Frías-Martínez United States 20 222 0.9× 90 0.5× 103 0.6× 104 0.7× 36 0.3× 60 1.2k
Alessio Signorini United States 9 390 1.6× 327 1.7× 92 0.5× 147 0.9× 177 1.4× 12 1.4k

Countries citing papers authored by Samarth Swarup

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Mortveit, Henning, Stefan Hoops, Anil Vullikanti, et al.. (2023). Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey. Computers Environment and Urban Systems. 105. 102020–102020. 7 indexed citations
3.
Espinoza, Baltazar, Aniruddha Adiga, Srinivasan Venkatramanan, et al.. (2023). Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions. Proceedings of the National Academy of Sciences. 120(48). e2305227120–e2305227120. 6 indexed citations
4.
Swarup, Samarth, et al.. (2023). High resolution synthetic residential energy use profiles for the United States. Scientific Data. 10(1). 76–76. 26 indexed citations
5.
Vullikanti, Anil, Samarth Swarup, Henning Mortveit, et al.. (2022). Ensembles of realistic power distribution networks. Proceedings of the National Academy of Sciences. 119(42). e2205772119–e2205772119. 11 indexed citations
6.
Espinoza, Baltazar, et al.. (2021). Asymptomatic individuals can increase the final epidemic size under adaptive human behavior. Scientific Reports. 11(1). 19744–19744. 17 indexed citations
7.
Hu, Zhihao, Kiran Lakkaraju, Joshua Letchford, et al.. (2020). An Active Learning Method for the Comparison of Agent-based Models. PubMed. 2020(2020). 1377–1385. 2 indexed citations
8.
Swarup, Samarth & Henning Mortveit. (2020). Live Simulations. Adaptive Agents and Multi-Agents Systems. 2 indexed citations
9.
Kang, Gloria J., Achla Marathe, Kevin Boyle, et al.. (2019). Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States. BMC Infectious Diseases. 19(1). 221–221. 20 indexed citations
10.
Marathe, Achla, et al.. (2018). Behavior Model Calibration for Epidemic Simulations. PubMed. 2018. 1640–1648. 7 indexed citations
11.
Gupta, Aparna, Samarth Swarup, Achla Marathe, et al.. (2018). Designing Incentives to Maximize the Adoption of Rooftop Solar Technology. Adaptive Agents and Multi-Agents Systems. 1950–1952. 2 indexed citations
12.
Adiga, Abhijin, Stephen Eubank, Bryan Lewis, et al.. (2018). Disparities in spread and control of influenza in slums of Delhi: findings from an agent-based modelling study. BMJ Open. 8(1). e017353–e017353. 35 indexed citations
13.
Brownstein, John S., Achla Marathe, Madhav Marathe, et al.. (2017). Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR Public Health and Surveillance. 3(4). e83–e83. 32 indexed citations
14.
Swarup, Samarth, et al.. (2017). A Comparison of Targeted Layered Containment Strategies for a Flu Pandemic in Three US Cities. Adaptive Agents and Multi-Agents Systems. 1499–1501. 3 indexed citations
15.
Swarup, Samarth, Stephen Eubank, & Madhav Marathe. (2014). Computational epidemiology as a challenge domain for multiagent systems. Adaptive Agents and Multi-Agents Systems. 1173–1176. 18 indexed citations
16.
Parikh, Nidhi, Samarth Swarup, Caitlin Rivers, et al.. (2013). Modeling human behavior in the aftermath of a hypothetical improvised nuclear detonation. Adaptive Agents and Multi-Agents Systems. 949–956. 11 indexed citations
17.
Parikh, Nidhi, et al.. (2012). Modeling the Effects of Transient Populations on Epidemics. National Conference on Artificial Intelligence. 2 indexed citations
18.
Kumar, V. S. Anil, Madhav Marathe, Samarth Swarup, et al.. (2011). Inhibiting the Diffusion of Contagions in Bi-Threshold Systems: Analytical and Experimental Results. National Conference on Artificial Intelligence. 5 indexed citations
19.
Swarup, Samarth, Andrea Apolloni, & Zsuzsanna Fagyal. (2011). A model of norm emergence and innovation in language change. Adaptive Agents and Multi-Agents Systems. 693–700. 5 indexed citations
20.
Swarup, Samarth, et al.. (2006). Cross-domain knowledge transfer using structured representations. National Conference on Artificial Intelligence. 506–511. 12 indexed citations

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.

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