Shweta Shinde

77 total papers · 1.8k total citations
29 papers, 947 citations indexed

About

Shweta Shinde is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Shweta Shinde has authored 29 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Information Systems and 12 papers in Signal Processing. Recurrent topics in Shweta Shinde's work include Security and Verification in Computing (14 papers), Advanced Malware Detection Techniques (12 papers) and Cloud Data Security Solutions (7 papers). Shweta Shinde is often cited by papers focused on Security and Verification in Computing (14 papers), Advanced Malware Detection Techniques (12 papers) and Cloud Data Security Solutions (7 papers). Shweta Shinde collaborates with scholars based in Singapore, United States and Switzerland. Shweta Shinde's co-authors include Prateek Saxena, Zheng Leong Chua, Dawn Song, Dayeol Lee, Krste Asanović, David Kohlbrenner, Zhenkai Liang, Hong Hu, Shruti Tople and Shiqi Shen and has published in prestigious journals such as ACM SIGPLAN Notices, Communications Biology and IEEE Security & Privacy.

In The Last Decade

Shweta Shinde

27 papers receiving 910 citations

Hit Papers

Keystone 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shweta Shinde 743 415 380 248 156 29 947
Yu‐Lun Huang 279 0.4× 139 0.3× 260 0.7× 463 1.9× 101 0.6× 44 914
Vassilis Prevelakis 500 0.7× 444 1.1× 290 0.8× 396 1.6× 112 0.7× 38 806
Sangho Lee 697 0.9× 421 1.0× 328 0.9× 277 1.1× 195 1.3× 38 903
Dinakar Dhurjati 889 1.2× 569 1.4× 349 0.9× 604 2.4× 391 2.5× 21 1.2k
Marcel Winandy 830 1.1× 623 1.5× 402 1.1× 348 1.4× 135 0.9× 25 1.0k
Daniel C. DuVarney 729 1.0× 600 1.4× 206 0.5× 441 1.8× 140 0.9× 13 882
Flavio D. Garcia 577 0.8× 221 0.5× 306 0.8× 233 0.9× 185 1.2× 37 910
Yeongjin Jang 589 0.8× 556 1.3× 335 0.9× 238 1.0× 166 1.1× 27 940
Gabriele Keller 722 1.0× 62 0.1× 191 0.5× 531 2.1× 694 4.4× 57 1.2k
Maurizio Aiello 468 0.6× 372 0.9× 101 0.3× 645 2.6× 48 0.3× 41 960

Countries citing papers authored by Shweta Shinde

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Shinde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shweta Shinde

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