K. Vikram
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 2%
- Web Application Security Vulnerabilities
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
Papers in
-
- Security and Verification in Computing 7
-
- Web Application Security Vulnerabilities 5
- Cloud Data Security Solutions 2
- Co-authors
- Andrew C. Myers (6 shared papers)Stephen Chong (4 shared papers)Jed Liu (5 shared papers)Lantian Zheng (3 shared papers)Xin Qi (3 shared papers)Xin Zheng (3 shared papers)Benjamin Livshits (1 shared paper)Xin Qi (1 shared paper)
- Journals
- The American Surgeon (1 paper)Communications of the ACM (1 paper)ACM SIGOPS Operating Systems Review (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
K. Vikram
8 papers receiving 466 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 253
- Information Systems 313
- Artificial Intelligence 368
- Computer Networks and Communications 203
- Software 32
Countries citing papers authored by K. Vikram
This map shows the geographic impact of K. Vikram'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 K. Vikram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Vikram more than expected).
Fields of papers citing papers by K. Vikram
This network shows the impact of papers produced by K. Vikram. 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 K. Vikram. The network helps show where K. Vikram may publish in the future.
Co-authors
The 10 scholars most cited alongside K. Vikram, 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 | 2007 | 169 | |
| 2 | SIF: enforcing confidentiality and integrity in web applications | 2007 | 99 |
| 3 | 2009 | 86 | |
| 4 | 2009 | 53 | |
| 5 | 2012 | 35 | |
| 6 | 2007 | 26 | |
| 7 | 2000 | 21 | |
| 8 | 2009 | 20 |
About K. Vikram
K. Vikram is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Surgery, having authored 8 papers that have together received 509 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Web Application Security Vulnerabilities (5 papers), Advanced Malware Detection Techniques (4 papers), Cloud Data Security Solutions (2 papers), Distributed systems and fault tolerance (2 papers), Trauma Management and Diagnosis (1 paper), Peer-to-Peer Network Technologies (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Signal Processing (253 citations), Information Systems (313 citations), Artificial Intelligence (368 citations), Computer Networks and Communications (203 citations) and Software (32 citations). K. Vikram has collaborated with scholars based in United States and India. Frequent co-authors include Andrew C. Myers, Stephen Chong, Jed Liu, Lantian Zheng, Xin Qi, Xin Zheng, Benjamin Livshits, Xin Qi, Aslan Askarov and Vijaykumar G. Patel. Their work appears in journals such as The American Surgeon, Communications of the ACM, ACM SIGOPS Operating Systems Review and Digital Access to Scholarship at Harvard (DASH) (Harvard University).
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.