C. Seshadhri

4.0k citations
94 papers · 1.7k · h-index 21

Impact in

Papers in

C. Seshadhri

91 papers receiving 1.6k citations

Peers

C. Seshadhri
Comparison fields: 5 of 78
  • Statistical and Nonlinear Physics 831
  • Computational Theory and Mathematics 493
  • Artificial Intelligence 862
  • Computer Vision and Pattern Recognition 452
  • Computer Networks and Communications 442
Replace Atish Das Sarma with:
Atish Das Sarma United States
Ziv Bar-Yossef United States
Yiping Ke Singapore
Andrej Krevl Slovenia
Flavio Chierichetti United States
Colin Cooper United Kingdom
Massimo Santini Italy
Srikanta Tirthapura United States
Christian Sohler Germany
Tamás Sarlós United States
C. Seshadhri relative to Atish Das Sarma United States Atish Das Sarma's profile →
Citations per field
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Atish Das Sarma · 1×
Citations per year

Countries citing papers authored by C. Seshadhri

Since Specialization
Citations

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

Fields of papers citing papers by C. Seshadhri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Seshadhri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Seshadhri Line = papers co-authored together C. Seshadhri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 2012115
3 201487
4 201380
5 201579
6 201773
7 201570
8 201468
9 200954
10 201444
11 201440
12 201239
13 201537
14 201732
15 201132
16 200730
17 201326
18
Adaptive Algorithms for Online Decision Problems
200725
19 202023
20 200721

About C. Seshadhri

C. Seshadhri is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (37 papers), Complex Network Analysis Techniques (33 papers), Machine Learning and Algorithms (25 papers), Advanced Graph Neural Networks (14 papers), Optimization and Search Problems (13 papers), Advanced Graph Theory Research (13 papers), Algorithms and Data Compression (10 papers) and Graph Theory and Algorithms (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (831 citations), Computational Theory and Mathematics (493 citations), Artificial Intelligence (862 citations), Computer Vision and Pattern Recognition (452 citations) and Computer Networks and Communications (442 citations). C. Seshadhri has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Tamara G. Kolda, Ali Pınar, Ali Pınar, Madhav Jha, David F. Gleich, Ali Pinar, Elad Hazan, Todd Plantenga, Nitin Saxena and Ahmet Erdem Sarıyüce. Their work appears in journals such as SIAM Journal on Computing, Journal of the ACM, Algorithmica, Proceedings of the National Academy of Sciences and SIAM Journal on Scientific Computing.

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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