Madhur Tulsiani

30 papers and 202 indexed citations i.

About

Madhur Tulsiani is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Madhur Tulsiani has authored 30 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Madhur Tulsiani’s work include Combinatorial Optimization and Complexity Theory (23 papers), Advanced Graph Theory Research (14 papers) and Optimization and Search Problems (5 papers). Madhur Tulsiani is often cited by papers focused on Combinatorial Optimization and Complexity Theory (23 papers), Advanced Graph Theory Research (14 papers) and Optimization and Search Problems (5 papers). Madhur Tulsiani collaborates with scholars based in United States, Israel and Canada. Madhur Tulsiani's co-authors include Luca Trevisan, Prasad Raghavendra, David Steurer, Salil Vadhan, Omer Reingold, Avner Magen, Siavosh Benabbas, Konstantinos Georgiou, Venkatesan Guruswami and Euiwoong Lee and has published in prestigious journals such as SIAM Journal on Computing, Theory of Computing and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Madhur Tulsiani i

Fields of papers citing papers by Madhur Tulsiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Madhur Tulsiani

Since Specialization
Citations

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