Srivaths Ravi

16 total papers · 1.5k total citations
14 papers, 973 citations indexed

About

Srivaths Ravi is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Srivaths Ravi has authored 14 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Hardware and Architecture. Recurrent topics in Srivaths Ravi's work include Security and Verification in Computing (10 papers), Cryptographic Implementations and Security (7 papers) and Advanced Malware Detection Techniques (5 papers). Srivaths Ravi is often cited by papers focused on Security and Verification in Computing (10 papers), Cryptographic Implementations and Security (7 papers) and Advanced Malware Detection Techniques (5 papers). Srivaths Ravi collaborates with scholars based in United States, India and Japan. Srivaths Ravi's co-authors include Anand Raghunathan, Paul Kocher, S. V. Hattangady, Nachiketh Potlapally, Niraj K. Jha, Ruby Lee, Gary McGraw, Srimat Chakradhar, Joel Coburn and Pallav Gupta and has published in prestigious journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Embedded Computing Systems and Design, Automation, and Test in Europe.

In The Last Decade

Srivaths Ravi

13 papers receiving 888 citations

Author Peers

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

Author Last Decade Papers Cites
Srivaths Ravi 520 405 366 234 217 14 973
Ofir Weisse 704 1.4× 254 0.6× 252 0.7× 358 1.5× 345 1.6× 11 923
Ben L. Titzer 317 0.6× 439 1.1× 323 0.9× 93 0.4× 172 0.8× 30 854
Flavio D. Garcia 577 1.1× 233 0.6× 185 0.5× 221 0.9× 306 1.4× 37 910
Asim Kadav 260 0.5× 470 1.2× 247 0.7× 81 0.3× 186 0.9× 24 806
Kaiyuan Zhang 318 0.6× 543 1.3× 117 0.3× 73 0.3× 319 1.5× 29 975
Chang Lan 527 1.0× 871 2.2× 201 0.5× 125 0.5× 320 1.5× 13 1.1k
Dennis K. Nilsson 351 0.7× 384 0.9× 131 0.4× 248 1.1× 215 1.0× 40 968
Steve Bellovin 621 1.2× 798 2.0× 200 0.5× 191 0.8× 351 1.6× 17 1.1k
Ravi Nair 205 0.4× 624 1.5× 531 1.5× 85 0.4× 333 1.5× 27 1.1k
Michael Tunstall 701 1.3× 91 0.2× 458 1.3× 202 0.9× 134 0.6× 30 844

Countries citing papers authored by Srivaths Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Srivaths Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srivaths Ravi

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