Rushit Dave
Impact in
- Human-Computer Interaction top 10%
- Signal Processing top 10%
- Biometric Identification and Security
- Advanced Malware Detection Techniques
Papers in
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- User Authentication and Security Systems 9
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- Naeem Seliya (12 shared papers)Mounika Vanamala (10 shared papers)Kaushik Roy (4 shared papers)Joseph Ackerson (1 shared paper)Laura Pryor (5 shared papers)Albert Esterline (1 shared paper)Prosenjit Chatterjee (1 shared paper)Xiaohong Yuan (1 shared paper)
- Journals
- Array (1 paper)Information (1 paper)International Journal of Computational Intelligence and Applications (1 paper)International Journal of Advanced Computer Science and Applications (1 paper)International Journal of Computer Science and Information Technology (4 papers)
- Partner nations
- United States
In The Last Decade
Rushit Dave
27 papers receiving 402 citations
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 50
- Signal Processing 88
- Computer Vision and Pattern Recognition 165
- Information Systems 127
- Artificial Intelligence 116
Countries citing papers authored by Rushit Dave
This map shows the geographic impact of Rushit Dave'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 Rushit Dave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rushit Dave more than expected).
Fields of papers citing papers by Rushit Dave
This network shows the impact of papers produced by Rushit Dave. 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 Rushit Dave. The network helps show where Rushit Dave may publish in the future.
Co-authors
The 15 scholars most cited alongside Rushit Dave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2021 | 48 | |
| 3 | 2023 | 45 | |
| 4 | 2022 | 27 | |
| 5 | 2019 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2018 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2023 | 5 |
About Rushit Dave
Rushit Dave is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 31 papers that have together received 410 indexed citations. Recurring topics across this work include User Authentication and Security Systems (9 papers), Biometric Identification and Security (7 papers), Anomaly Detection Techniques and Applications (6 papers), Digital Media Forensic Detection (6 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Malware Detection Techniques (5 papers), IoT and Edge/Fog Computing (3 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Human-Computer Interaction (50 citations), Signal Processing (88 citations), Computer Vision and Pattern Recognition (165 citations), Information Systems (127 citations) and Artificial Intelligence (116 citations). Rushit Dave has collaborated with scholars based in United States. Frequent co-authors include Naeem Seliya, Mounika Vanamala, Kaushik Roy, Joseph Ackerson, Laura Pryor, Albert Esterline, Prosenjit Chatterjee, Xiaohong Yuan, Zhipeng Liu and Joseph Shelton. Their work appears in journals such as Array, Information, International Journal of Computational Intelligence and Applications, International Journal of Advanced Computer Science and Applications and International Journal of Computer Science and Information Technology.
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.