Deepa Srinivasan
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Information Systems top 5%
- Cloud Data Security Solutions
- Cloud Computing and Resource Management
- Digital and Cyber Forensics
- Blockchain Technology Applications and Security
Papers in
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- Security and Verification in Computing 7
- Algorithms and Data Compression 1
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- Network Security and Intrusion Detection 5
- Software-Defined Networks and 5G 2
- Co-authors
- Xuxian Jiang (4 shared papers)Dongyan Xu (2 shared papers)Jinku Li (3 shared papers)Zhi Wang (1 shared paper)Reiner Sailer (3 shared papers)Dimitrios Pendarakis (3 shared papers)Mike Grace (1 shared paper)Sina Bahram (1 shared paper)
- Journals
- Computer Communications (1 paper)IBM Journal of Research and Development (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)ACM SIGOPS Operating Systems Review (1 paper)Texas Digital Library (University of Texas) (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Deepa Srinivasan
11 papers receiving 339 citations
Peers
Comparison fields: 5 of 21
- Signal Processing 180
- Information Systems 224
- Artificial Intelligence 283
- Computer Networks and Communications 164
- 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-authors
The 23 scholars most cited alongside Deepa Srinivasan, 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 | 2010 | 116 | |
| 2 | 2008 | 87 | |
| 3 | 2011 | 62 | |
| 4 | 2009 | 45 | |
| 5 | 2011 | 29 | |
| 6 | 2004 | 10 | |
| 7 | 2010 | 7 | |
| 8 | 2005 | 3 | |
| 9 | Transparent Protection of Commodity OS Kernels Using Hardware Virtualization | 2012 | 3 |
| 10 | 2003 | 2 | |
| 11 | 2003 | 2 | |
| 12 | 2022 | 0 |
About Deepa Srinivasan
Deepa Srinivasan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Hardware and Architecture, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Security and Verification in Computing (7 papers), Cloud Data Security Solutions (5 papers), Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Network Packet Processing and Optimization (3 papers), Software-Defined Networks and 5G (2 papers) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Signal Processing (180 citations), Information Systems (224 citations), Artificial Intelligence (283 citations), Computer Networks and Communications (164 citations) and Hardware and Architecture (38 citations). Deepa Srinivasan has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Xuxian Jiang, Dongyan Xu, Jinku Li, Zhi Wang, Reiner Sailer, Dimitrios Pendarakis, Mike Grace, Sina Bahram, Stefan Berger and Zhi Wang. Their work appears in journals such as Computer Communications, IBM Journal of Research and Development, IEEE Transactions on Information Forensics and Security, ACM SIGOPS Operating Systems Review and Texas Digital Library (University of Texas).
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.