Madhav Marathe

250 papers and 6.8k indexed citations i.

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 250 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Modeling and Simulation, 55 papers in Computer Networks and Communications and 51 papers in Statistical and Nonlinear Physics. Recurrent topics in Madhav Marathe’s work include COVID-19 epidemiological studies (76 papers), Complex Network Analysis Techniques (47 papers) and Data-Driven Disease Surveillance (38 papers). Madhav Marathe is often cited by papers focused on COVID-19 epidemiological studies (76 papers), Complex Network Analysis Techniques (47 papers) and Data-Driven Disease Surveillance (38 papers). Madhav Marathe collaborates with scholars based in United States, Germany and United Kingdom. Madhav Marathe's co-authors include Stephen Eubank, Aravind Srinivasan, V. S. Anil Kumar, Bryan Lewis, Christopher L. Barrett, S. S. Ravi, Srinivasan Venkatramanan, Nan Wang, Zoltán Toroczkai and Hasan Güçlü and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Madhav Marathe i

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.

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).

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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2025