Radha Jagadeesan

106 total papers · 3.9k total citations
45 papers, 1.1k citations indexed

About

Radha Jagadeesan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, Radha Jagadeesan has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 11 papers in Hardware and Architecture. Recurrent topics in Radha Jagadeesan's work include Logic, programming, and type systems (32 papers), Formal Methods in Verification (23 papers) and Logic, Reasoning, and Knowledge (10 papers). Radha Jagadeesan is often cited by papers focused on Logic, programming, and type systems (32 papers), Formal Methods in Verification (23 papers) and Logic, Reasoning, and Knowledge (10 papers). Radha Jagadeesan collaborates with scholars based in United States, United Kingdom and Canada. Radha Jagadeesan's co-authors include Vineet Gupta, Samson Abramsky, Prakash Panangaden, Josée Desharnais, Vijay Saraswat, James Riely, Corin Pitcher, Alan Jeffrey, Christoph von Praun and Bin Zhang and has published in prestigious journals such as Theoretical Computer Science, ACM Transactions on Programming Languages and Systems and Journal of Symbolic Logic.

In The Last Decade

Radha Jagadeesan

44 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Radha Jagadeesan 847 684 244 171 166 45 1.1k
Marius Bozga 444 0.5× 506 0.7× 219 0.9× 268 1.6× 309 1.9× 66 1.0k
Conal Elliott 982 1.2× 586 0.9× 262 1.1× 403 2.4× 197 1.2× 32 1.4k
Cesare Tinelli 880 1.0× 786 1.1× 219 0.9× 156 0.9× 449 2.7× 74 1.3k
K. Samelson 695 0.8× 468 0.7× 161 0.7× 235 1.4× 154 0.9× 19 1.2k
Narciso Martı́-Oliet 938 1.1× 682 1.0× 317 1.3× 128 0.7× 335 2.0× 55 1.2k
Manuel Clavel 955 1.1× 614 0.9× 320 1.3× 114 0.7× 354 2.1× 43 1.4k
Helmut Seidl 725 0.9× 630 0.9× 208 0.9× 169 1.0× 200 1.2× 93 980
Jeremy Gibbons 798 0.9× 415 0.6× 246 1.0× 202 1.2× 197 1.2× 123 1.1k
Bernard Vauquois 637 0.8× 354 0.5× 134 0.5× 199 1.2× 120 0.7× 17 1.0k
Stephen Brookes 648 0.8× 575 0.8× 300 1.2× 177 1.0× 108 0.7× 40 916

Countries citing papers authored by Radha Jagadeesan

Since Specialization
Citations

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

Fields of papers citing papers by Radha Jagadeesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radha Jagadeesan

This figure shows the co-authorship network connecting the top 25 collaborators of Radha Jagadeesan. A scholar is included among the top collaborators of Radha Jagadeesan 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 Radha Jagadeesan. Radha Jagadeesan 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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