Deepa Srinivasan
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 10%
- Co-authors
- Xuxian JiangDongyan XuJinku LiZhi WangReiner SailerDimitrios PendarakisEnriquillo ValdezStefan Berger
- Topics
- Security and Verification in Computing (7 papers)Cloud Data Security Solutions (5 papers)Network Security and Intrusion Detection (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information Forensics and SecurityIBM Journal of Research and Development
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Deepa Srinivasan
11 papers receiving 338 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 282
- Information Systems 224
- Signal Processing 179
- Computer Networks and Communications 163
- Hardware and Architecture 38
Countries citing papers authored by Deepa Srinivasan
This map shows the geographic impact of Deepa Srinivasan'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 Deepa Srinivasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Srinivasan more than expected).
Fields of papers citing papers by Deepa Srinivasan
This network shows the impact of papers produced by Deepa Srinivasan. 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 Deepa Srinivasan. The network helps show where Deepa Srinivasan may publish in the future.
Co-authorship network of co-authors of Deepa Srinivasan
This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Srinivasan. A scholar is included among the top collaborators of Deepa Srinivasan 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 Deepa Srinivasan. Deepa Srinivasan 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 | Transparent Protection of Commodity OS Kernels Using Hardware Virtualization | 3 |
| 3 | 29 | |
| 4 | 62 | |
| 5 | 115 | |
| 6 | 7 | |
| 7 | 45 | |
| 8 | 87 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 2 |
About Deepa Srinivasan
Deepa Srinivasan is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 12 papers that have together received 365 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Cloud Data Security Solutions (5 papers) and Network Security and Intrusion Detection (5 papers). The work is most often cited by research in Signal Processing (179 citations), Information Systems (224 citations) and Artificial Intelligence (282 citations). Deepa Srinivasan has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Xuxian Jiang, Dongyan Xu, Jinku Li, Zhi Wang, Reiner Sailer, Dimitrios Pendarakis, Enriquillo Valdez, Stefan Berger, Sina Bahram and Mike Grace. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Forensics and Security and IBM Journal of Research and Development.
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.