Ram Krishnan
- Information Systems top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Ravi SandhuJianwei NiuWilliam H. WinsboroughMahmoud AbdelsalamXiaoyin WangMitra Bokaei HosseiniJaspreet BhatiaJames Hester
- Topics
- Access Control and Trust (36 papers)Security and Verification in Computing (20 papers)Cryptography and Data Security (19 papers)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Ram Krishnan
58 papers receiving 714 citations
Peers
Comparison fields: 5 of 61
- Information Systems 421
- Artificial Intelligence 403
- Sociology and Political Science 353
- Computer Networks and Communications 272
- Signal Processing 184
Countries citing papers authored by Ram Krishnan
This map shows the geographic impact of Ram Krishnan'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 Ram Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Krishnan more than expected).
Fields of papers citing papers by Ram Krishnan
This network shows the impact of papers produced by Ram Krishnan. 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 Ram Krishnan. The network helps show where Ram Krishnan may publish in the future.
Co-authorship network of co-authors of Ram Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Ram Krishnan. A scholar is included among the top collaborators of Ram Krishnan 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 Ram Krishnan. Ram Krishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | Proceedings of the 2nd ACM Workshop on Attribute-Based Access Control | 1 |
| 11 | 5 | |
| 12 | Proceedings of the 2016 ACM International Workshop on Attribute Based Access Control | 2 |
| 13 | 24 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 0 | |
| 18 | Enforcement architecture and implementation model for group-centric Information Sharing | 1 |
| 19 | 28 | |
| 20 | 4 |
About Ram Krishnan
Ram Krishnan is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 60 papers that have together received 758 indexed citations. Recurring topics across this work include Access Control and Trust (36 papers), Security and Verification in Computing (20 papers) and Cryptography and Data Security (19 papers). The work is most often cited by research in Information Systems (421 citations), Signal Processing (184 citations) and Artificial Intelligence (403 citations). Ram Krishnan has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Ravi Sandhu, Jianwei Niu, William H. Winsborough, Mahmoud Abdelsalam, Xiaoyin Wang, Mitra Bokaei Hosseini, Jaspreet Bhatia, James Hester, Rocky Slavin and Travis D. Breaux. Their work appears in journals such as Automatica, Computer and BMC Medical Informatics and Decision Making.
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.