Geetha Jagannathan

15 total papers · 798 total citations
11 papers, 485 citations indexed

About

Geetha Jagannathan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Geetha Jagannathan has authored 11 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Geetha Jagannathan's work include Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (9 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Geetha Jagannathan is often cited by papers focused on Privacy-Preserving Technologies in Data (10 papers), Cryptography and Data Security (9 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Geetha Jagannathan collaborates with scholars based in United States. Geetha Jagannathan's co-authors include Rebecca N. Wright, Krishnan Pillaipakkamnatt, Claire Monteleoni, Krzysztof Choromański, Anna Choromanska and Michael A. Bender and has published in prestigious journals such as Theoretical Computer Science, Data & Knowledge Engineering and ACM Journal of Experimental Algorithmics.

In The Last Decade

Geetha Jagannathan

11 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Geetha Jagannathan 428 94 75 48 43 11 485
Mukund Sundararajan 426 1.0× 70 0.7× 102 1.4× 43 0.9× 89 2.1× 13 535
Tejas Kulkarni 385 0.9× 45 0.5× 78 1.0× 67 1.4× 54 1.3× 17 457
Russell Paulet 474 1.1× 139 1.5× 87 1.2× 38 0.8× 75 1.7× 15 521
Hao Yin 231 0.5× 49 0.5× 28 0.4× 74 1.5× 86 2.0× 12 514
Xiaowei Ying 372 0.9× 70 0.7× 232 3.1× 29 0.6× 45 1.0× 13 458
Kai-Yang Chiang 297 0.7× 97 1.0× 33 0.4× 70 1.5× 43 1.0× 9 464
Rajiv Khanna 342 0.8× 76 0.8× 20 0.3× 89 1.9× 27 0.6× 17 483
Rakshit Trivedi 284 0.7× 127 1.4× 31 0.4× 76 1.6× 39 0.9× 12 540
Dan Bogdanov 353 0.8× 129 1.4× 34 0.5× 32 0.7× 54 1.3× 17 429
Satoshi Morinaga 409 1.0× 147 1.6× 55 0.7× 49 1.0× 11 0.3× 13 514

Countries citing papers authored by Geetha Jagannathan

Since Specialization
Citations

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

Fields of papers citing papers by Geetha Jagannathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geetha Jagannathan

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