Saswat Anand

31 total papers · 2.5k total citations
19 papers, 1.3k citations indexed

About

Saswat Anand is a scholar working on Information Systems, Signal Processing and Software. According to data from OpenAlex, Saswat Anand has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 12 papers in Signal Processing and 10 papers in Software. Recurrent topics in Saswat Anand's work include Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (10 papers) and Software Engineering Research (6 papers). Saswat Anand is often cited by papers focused on Advanced Malware Detection Techniques (10 papers), Software Testing and Debugging Techniques (10 papers) and Software Engineering Research (6 papers). Saswat Anand collaborates with scholars based in United States, Singapore and United Kingdom. Saswat Anand's co-authors include Mary Jean Harrold, Alex Aiken, Yu Feng, Işıl Dillig, Hongseok Yang, Mayur Naik, Myra B. Cohen, Antonia Bertolino, Tsong Yueh Chen and Edmund Burke and has published in prestigious journals such as Journal of Systems and Software, ACM SIGPLAN Notices and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Saswat Anand

18 papers receiving 1.3k citations

Hit Papers

An orchestrated survey of... 2012 2026 2016 2021 2013 2014 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Saswat Anand 1.0k 730 712 447 219 19 1.3k
Van-Thuan Pham 1.1k 1.0× 507 0.7× 757 1.1× 188 0.4× 354 1.6× 19 1.3k
Ting Su 961 1.0× 840 1.2× 789 1.1× 262 0.6× 369 1.7× 57 1.6k
Tim Leek 537 0.5× 676 0.9× 656 0.9× 278 0.6× 737 3.4× 17 1.4k
Fan Long 1.2k 1.2× 1.2k 1.6× 405 0.6× 401 0.9× 421 1.9× 44 1.8k
Frederick Sayward 1.5k 1.5× 875 1.2× 276 0.4× 195 0.4× 226 1.0× 22 1.8k
Christoph Csallner 1.0k 1.0× 852 1.2× 211 0.3× 244 0.5× 240 1.1× 47 1.3k
Thanassis Avgerinos 860 0.9× 715 1.0× 1.2k 1.6× 313 0.7× 819 3.7× 14 1.6k
Bihuan Chen 850 0.8× 1.0k 1.4× 655 0.9× 464 1.0× 488 2.2× 77 1.6k
Christopher Salls 754 0.7× 505 0.7× 908 1.3× 247 0.6× 568 2.6× 8 1.3k
ThanhVu Nguyen 1.3k 1.3× 1.1k 1.5× 250 0.4× 322 0.7× 428 2.0× 48 1.8k

Countries citing papers authored by Saswat Anand

Since Specialization
Citations

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

Fields of papers citing papers by Saswat Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saswat Anand

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