Madhav Jha

46 total papers · 755 total citations
17 papers, 292 citations indexed

About

Madhav Jha is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Madhav Jha has authored 17 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Madhav Jha's work include Complexity and Algorithms in Graphs (7 papers), Complex Network Analysis Techniques (4 papers) and Cryptography and Data Security (4 papers). Madhav Jha is often cited by papers focused on Complexity and Algorithms in Graphs (7 papers), Complex Network Analysis Techniques (4 papers) and Cryptography and Data Security (4 papers). Madhav Jha collaborates with scholars based in United States, India and United Kingdom. Madhav Jha's co-authors include C. Seshadhri, Ali Pınar, Sofya Raskhodnikova, Ali Pınar, L. C. W. Dixon, Vijay Chaudhary, Pallav Gupta, Sumit Gupta, Partha Pratim Das and Elena Grigorescu and has published in prestigious journals such as SIAM Journal on Computing, Journal of Optimization Theory and Applications and Algorithmica.

In The Last Decade

Madhav Jha

16 papers receiving 282 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madhav Jha 150 135 100 73 66 17 292
Maria Florina Balcan 213 1.4× 46 0.3× 46 0.5× 105 1.4× 29 0.4× 17 365
Yongsub Lim 148 1.0× 102 0.8× 26 0.3× 119 1.6× 92 1.4× 15 281
Maarten Löffler 100 0.7× 53 0.4× 71 0.7× 52 0.7× 57 0.9× 28 302
Anastasios Zouzias 211 1.4× 21 0.2× 68 0.7× 106 1.5× 50 0.8× 13 353
Wei Guo 155 1.0× 59 0.4× 34 0.3× 152 2.1× 58 0.9× 22 308
Ling Chen 121 0.8× 75 0.6× 41 0.4× 69 0.9× 26 0.4× 31 284
Can Lu 136 0.9× 51 0.4× 41 0.4× 151 2.1× 113 1.7× 13 277
Aimin Pan 45 0.3× 47 0.3× 51 0.5× 43 0.6× 165 2.5× 21 323
You Peng 127 0.8× 60 0.4× 63 0.6× 185 2.5× 177 2.7× 22 340
Jiang Xie 208 1.4× 39 0.3× 37 0.4× 105 1.4× 18 0.3× 15 267

Countries citing papers authored by Madhav Jha

Since Specialization
Citations

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

Fields of papers citing papers by Madhav Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhav Jha

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026