Vasant Tendulkar
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
-
- Digital and Cyber Forensics 2
- Web Application Security Vulnerabilities 2
- Mobile and Web Applications 1
- Cloud Data Security Solutions 1
- Cloud Computing and Resource Management 1
-
- Advanced Malware Detection Techniques 5
- Co-authors
- William Enck (3 shared papers)Byung-Gon Chun (1 shared paper)Patrick McDaniel (1 shared paper)Seungyeop Han (1 shared paper)Anmol Sheth (1 shared paper)Peter Gilbert (1 shared paper)Jaeyeon Jung (1 shared paper)Landon P. Cox (1 shared paper)
- Journals
- Computers & Security (1 paper)ACM Transactions on Computer Systems (1 paper)AYBU AVESIS (1 paper)NCSU Libraries Repository (North Carolina State University Libraries) (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Vasant Tendulkar
6 papers receiving 759 citations
Vasant Tendulkar's Hit Papers
Peers
Comparison fields: 5 of 35
- Software 248
- Signal Processing 695
- Information Systems 401
- Computer Networks and Communications 385
- Artificial Intelligence 282
Countries citing papers authored by Vasant Tendulkar
This map shows the geographic impact of Vasant Tendulkar'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 Vasant Tendulkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasant Tendulkar more than expected).
Fields of papers citing papers by Vasant Tendulkar
This network shows the impact of papers produced by Vasant Tendulkar. 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 Vasant Tendulkar. The network helps show where Vasant Tendulkar may publish in the future.
Co-authors
The 12 scholars most cited alongside Vasant Tendulkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | TaintDroid Hit paper breakdown → | 2014 | 772 |
| 2 | 2012 | 5 | |
| 3 | 2021 | 3 | |
| 4 | 2018 | 3 | |
| 5 | 2014 | 3 | |
| 6 | Mitigating Android Application SSL Vulnerabilities using Configuration Policies. | 2013 | 1 |
About Vasant Tendulkar
Vasant Tendulkar is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science, having authored 6 papers that have together received 787 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (5 papers), Security and Verification in Computing (3 papers), Digital and Cyber Forensics (2 papers), Web Application Security Vulnerabilities (2 papers), Mobile and Web Applications (1 paper), Caching and Content Delivery (1 paper), Cloud Data Security Solutions (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Software (248 citations), Signal Processing (695 citations), Information Systems (401 citations), Computer Networks and Communications (385 citations) and Artificial Intelligence (282 citations). Vasant Tendulkar has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include William Enck, Byung-Gon Chun, Patrick McDaniel, Seungyeop Han, Anmol Sheth, Peter Gilbert, Jaeyeon Jung, Landon P. Cox, Adwait Nadkarni and R. Snyder. Their work appears in journals such as Computers & Security, ACM Transactions on Computer Systems, AYBU AVESIS and NCSU Libraries Repository (North Carolina State University Libraries).
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.