Madhav Marathe

16.8k total citations · 3 hit papers
332 papers, 9.3k citations indexed

About

Madhav Marathe is a scholar working on Modeling and Simulation, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Madhav Marathe has authored 332 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Modeling and Simulation, 81 papers in Computer Networks and Communications and 78 papers in Statistical and Nonlinear Physics. Recurrent topics in Madhav Marathe's work include COVID-19 epidemiological studies (89 papers), Complex Network Analysis Techniques (74 papers) and Data-Driven Disease Surveillance (45 papers). Madhav Marathe is often cited by papers focused on COVID-19 epidemiological studies (89 papers), Complex Network Analysis Techniques (74 papers) and Data-Driven Disease Surveillance (45 papers). Madhav Marathe collaborates with scholars based in United States, Germany and United Kingdom. Madhav Marathe's co-authors include Stephen Eubank, V. S. Anil Kumar, Aravind Srinivasan, Bryan Lewis, Christopher L. Barrett, S. S. Ravi, Srinivasan Venkatramanan, Nan Wang, Hasan Güçlü and Zoltán Toroczkai and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Madhav Marathe

315 papers receiving 8.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Modelling disease outbreaks in realistic urban social networks

2004 1.4k citations Stephen Eubank, V. S. Anil Kumar et al. profile →
Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”

2020 718 citations Stephen Eubank, Irene Eckstrand et al. Bulletin of Mathematical Biology profile →
Mobile Data Offloading through Opportunistic Communications and Social Participation

2011 369 citations V. S. Anil Kumar, Madhav Marathe et al. profile →

Peers

Countries citing papers authored by Madhav Marathe

Since Specialization

Citations

This map shows the geographic impact of Madhav Marathe'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 Madhav Marathe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhav Marathe more than expected).

Fields of papers citing papers by Madhav Marathe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhav Marathe. 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 Madhav Marathe. The network helps show where Madhav Marathe may publish in the future.

Co-authorship network of co-authors of Madhav Marathe

This figure shows the co-authorship network connecting the top 25 collaborators of Madhav Marathe. A scholar is included among the top collaborators of Madhav Marathe 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 Madhav Marathe. Madhav Marathe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	UnfoldSim.jl: Simulating continuous event-based time series data for EEG and beyond 2025 ·The Journal of Open Source Software ·(unknown), (unknown), Madhav Marathe, Benedikt Ehinger	1
2	Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey 2023 ·Computers Environment and Urban Systems ·(unknown), (unknown), (unknown), Henning Mortveit, Stefan Hoops, Anil Vullikanti, Madhav Marathe, Benjamin F. Zaitchik, Julia M. Gohlke, Samarth Swarup	7
3	Identifying Complicated Contagion Scenarios from Cascade Data 2023 ·(unknown), (unknown), Jiangzhuo Chen, S. S. Ravi, Anil Vullikanti, Madhav Marathe, Abhijin Adiga	2
4	Coupled models of genomic surveillance and evolving pandemics with applications for timely public health interventions 2023 ·Proceedings of the National Academy of Sciences ·Baltazar Espinoza, Aniruddha Adiga, Srinivasan Venkatramanan, (unknown), Jiangzhuo Chen, Bryan Lewis, Anil Vullikanti, Samarth Swarup, (unknown), Christopher L. Barrett, Siva Athreya, Rajesh Sundaresan, Vijay Chandru, Ramanan Laxminarayan, Benjamin E. Schaffer, H. Vincent Poor, Simon A. Levin, Madhav Marathe	6
5	A simplicial epidemic model for COVID-19 spread analysis 2023 ·Proceedings of the National Academy of Sciences ·Yuzhou Chen, Yulia R. Gel, Madhav Marathe, H. Vincent Poor	22
6	Privacy-first health research with federated learning 2021 ·npj Digital Medicine ·Adam Sadilek, Luyang Liu, Dung T. Nguyen, (unknown), Stylianos Serghiou, Benjamin Rader, (unknown), (unknown), Peter Kairouz, Elaine O. Nsoesie, (unknown), Anil Vullikanti, Madhav Marathe, P. R. Eastham, John S. Brownstein, Blaise Agüera y Arcas, (unknown), John Hernandez	104
7	Commentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand” breakdown → 2020 ·Bulletin of Mathematical Biology ·Stephen Eubank, Irene Eckstrand, Bryan Lewis, Srinivasan Venkatramanan, Madhav Marathe, Christopher L. Barrett	718
8	Symmetry Properties of Nested Canalyzing Functions 2019 ·Discrete Mathematics & Theoretical Computer Science ·Daniel J. Rosenkrantz, Madhav Marathe, S. S. Ravi, Richard E. Stearns	2
9	Assessing the multi-pathway threat from an invasive agricultural pest: Tuta absoluta in Asia 2019 ·Proceedings of the Royal Society B Biological Sciences ·(unknown), (unknown), Henning Mortveit, Madhav Marathe, Mateus Ribeiro de Campos, Nicolas Desneux, Thierry Brévault, R. Muniappan, Abhijin Adiga	20
10	Behavior Model Calibration for Epidemic Simulations 2018 ·PubMed ·(unknown), Achla Marathe, Madhav Marathe, Samarth Swarup	7
11	EpiK: A Knowledge Base for Epidemiological Modeling and Analytics of Infectious Diseases 2017 ·PubMed ·Samiul Hasan, Edward A. Fox, Keith Bisset, Madhav Marathe	3
12	Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches 2017 ·JMIR Public Health and Surveillance ·John S. Brownstein, (unknown), Achla Marathe, Madhav Marathe, André T. Nguyen, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Mauricio Santillana, Samarth Swarup, Michele Tizzoni, Alessandro Vespignani, Anil Vullikanti, Mandy Wilson, (unknown)	32
13	Correction for Lofgren et al., Opinion: Mathematical models: A key tool for outbreak response 2014 ·Proceedings of the National Academy of Sciences ·Eric Lofgren, (unknown), Caitlin Rivers, John M. Drake, Travis C. Porco, Bryan Lewis, Wan Yang, Alessandro Vespignani, Jeffrey Shaman, Joseph N. S. Eisenberg, Marisa C. Eisenberg, Madhav Marathe, Samuel V. Scarpino, Kathleen A. Alexander, Rafael Meza, Matthew J. Ferrari, James M. Hyman, Lauren Ancel Meyers, Stephen Eubank	2
14	Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions 2014 ·Prithwish Chakraborty, Pejman Khadivi, Bryan Lewis, (unknown), Jiangzhuo Chen, P. J. Butler, Elaine O. Nsoesie, Sumiko R. Mekaru, John S. Brownstein, Madhav Marathe, Naren Ramakrishnan	51
15	High performance informatics for pandemic preparedness 2012 ·Winter Simulation Conference ·Keith Bisset, Stephen Eubank, Madhav Marathe	1
16	PPAR{gamma} activation drives Th17 cells into a Treg phenotype 2012 ·The Journal of Immunology ·Adria Carbo, Raquel Hontecillas, Stefan Hoops, Barbara Kronsteiner, Pinyi Lu, Katherine Wendelsdorf, Yongguo Mei, Stephen Eubank, Madhav Marathe, Josep Bassaganya‐Riera	1
17	Inhibiting the Diffusion of Contagions in Bi-Threshold Systems: Analytical and Experimental Results 2011 ·National Conference on Artificial Intelligence ·(unknown), V. S. Anil Kumar, Madhav Marathe, Samarth Swarup, Gaurav Tuli, S. S. Ravi, Daniel J. Rosenkrantz	5
18	Modeling interaction between individuals, social networks and public policy to support public health epidemiology 2009 ·Winter Simulation Conference ·Keith Bisset, Xizhou Feng, Madhav Marathe, (unknown)	26
19	EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks 2008 ·IEEE International Conference on High Performance Computing, Data, and Analytics ·Christopher L. Barrett, Keith Bisset, Stephen Eubank, Xizhou Feng, Madhav Marathe	146
20	Computational aspects of analyzing social network dynamics 2007 ·International Joint Conference on Artificial Intelligence ·Chris Barrett, Harry B. Hunt, Madhav Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, (unknown)	7

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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