Kapil Singh
- Information Systems top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Wenke LeeSumeer BholaHelen J. WangLarry KovedAlexander MoshchukShari TrewinCal SwartJacquelyn Martino
- Topics
- Advanced Malware Detection Techniques (9 papers)Internet Traffic Analysis and Secure E-voting (8 papers)Spam and Phishing Detection (6 papers)
- Journals
- IBM Journal of Research and DevelopmentVaccinesINQUIRY The Journal of Health Care Organization Provision and Financing
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Kapil Singh
29 papers receiving 371 citations
Peers
Comparison fields: 5 of 52
- Information Systems 253
- Signal Processing 211
- Artificial Intelligence 154
- Sociology and Political Science 139
- Computer Networks and Communications 73
Countries citing papers authored by Kapil Singh
This map shows the geographic impact of Kapil Singh'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 Kapil Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kapil Singh more than expected).
Fields of papers citing papers by Kapil Singh
This network shows the impact of papers produced by Kapil Singh. 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 Kapil Singh. The network helps show where Kapil Singh may publish in the future.
Co-authorship network of co-authors of Kapil Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Kapil Singh. A scholar is included among the top collaborators of Kapil Singh 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 Kapil Singh. Kapil Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | Actions Speak Louder than Words: Entity-Sensitive Privacy Policy and Data Flow Analysis with PoliCheck | 29 |
| 13 | Policylint: Investigating internal privacy policy contradictions on google play | 38 |
| 14 | 30 | |
| 15 | 5 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | On the Disparity of Display Security in Mobile and Traditional Web Browsers | 3 |
| 19 | 55 | |
| 20 | xBook: redesigning privacy control in social networking platforms | 52 |
About Kapil Singh
Kapil Singh is a scholar working on Signal Processing, Modeling and Simulation and Information Systems, having authored 38 papers that have together received 404 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Internet Traffic Analysis and Secure E-voting (8 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Signal Processing (211 citations), Information Systems (253 citations) and Artificial Intelligence (154 citations). Kapil Singh has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Wenke Lee, Sumeer Bhola, Helen J. Wang, Larry Koved, Alexander Moshchuk, Shari Trewin, Cal Swart, Jacquelyn Martino, William Enck and Benjamin Andow. Their work appears in journals such as IBM Journal of Research and Development, Vaccines and INQUIRY The Journal of Health Care Organization Provision and Financing.
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.