Kalyan Kumaran

127 total papers · 1.1k total citations
26 papers, 509 citations indexed

About

Kalyan Kumaran is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Kalyan Kumaran has authored 26 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 17 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Kalyan Kumaran's work include Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (13 papers) and Distributed and Parallel Computing Systems (8 papers). Kalyan Kumaran is often cited by papers focused on Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (13 papers) and Distributed and Parallel Computing Systems (8 papers). Kalyan Kumaran collaborates with scholars based in United States, Germany and United Kingdom. Kalyan Kumaran's co-authors include Vitali Morozov, Jiayuan Meng, Venkatram Vishwanath, Scott Parker, Kevin Harms, Pavan Balaji, Michael Boyer, Prasanna Balaprakash, Thomas Uram and Preeti Malakar and has published in prestigious journals such as Communications of the ACM, IBM Journal of Research and Development and Lecture notes in computer science.

In The Last Decade

Kalyan Kumaran

25 papers receiving 502 citations

Author Peers

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

Author Last Decade Papers Cites
Kalyan Kumaran 365 302 144 73 57 26 509
Brian J. N. Wylie 400 1.1× 344 1.1× 123 0.9× 34 0.5× 51 0.9× 45 533
David Beckingsale 311 0.9× 319 1.1× 87 0.6× 32 0.4× 30 0.5× 25 461
Kai Lu 278 0.8× 233 0.8× 95 0.7× 77 1.1× 55 1.0× 52 453
Jianwei Li 290 0.8× 136 0.5× 98 0.7× 83 1.1× 33 0.6× 25 520
Kazutomo Yoshii 378 1.0× 314 1.0× 153 1.1× 51 0.7× 127 2.2× 42 595
Michael Frumkin 368 1.0× 307 1.0× 124 0.9× 46 0.6× 66 1.2× 40 488
Sangmin Seo 470 1.3× 485 1.6× 176 1.2× 44 0.6× 43 0.8× 26 557
Ian Karlin 339 0.9× 374 1.2× 120 0.8× 63 0.9× 58 1.0× 39 519
Dan Terpstra 300 0.8× 339 1.1× 148 1.0× 56 0.8× 124 2.2× 16 457
Laksono Adhianto 475 1.3× 430 1.4× 196 1.4× 40 0.5× 40 0.7× 17 593

Countries citing papers authored by Kalyan Kumaran

Since Specialization
Citations

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

Fields of papers citing papers by Kalyan Kumaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalyan Kumaran

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

All Works

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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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