Deepa Srinivasan

574 citations
12 papers · 365 · h-index 7

Impact in

    • Advanced Malware Detection Techniques
    • Cloud Data Security Solutions
    • Cloud Computing and Resource Management
    • Digital and Cyber Forensics
    • Blockchain Technology Applications and Security

Papers in

Deepa Srinivasan

11 papers receiving 338 citations

Peers

Deepa Srinivasan
Comparison fields: 5 of 21
  • Signal Processing 179
  • Information Systems 224
  • Artificial Intelligence 282
  • Computer Networks and Communications 163
  • Hardware and Architecture 38
Replace Bernhard Kauer with:
Bernhard Kauer Germany
Nico Weichbrodt Germany
Glenn Wurster Canada
Ralf-Philipp Weinmann Luxembourg
Takahiro Shinagawa Japan
Anil Kurmus Switzerland
Marc Kührer Germany
Alexander Yip United States
Shuo Tang United States
Tianning Zang China
Deepa Srinivasan relative to Bernhard Kauer Germany Bernhard Kauer's profile →
Citations per field
00.5×1.5×
Bernhard Kauer · 1×
Citations per year

Countries citing papers authored by Deepa Srinivasan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Deepa Srinivasan Line = papers co-authored together Deepa Srinivasan links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010115
2 200887
3 201162
4 200945
5 201129
6 200410
7 20107
8
Transparent Protection of Commodity OS Kernels Using Hardware Virtualization
20123
9 20053
10 20032
11 20032
12 20220

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 365 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 (179 citations), Information Systems (224 citations), Artificial Intelligence (282 citations), Computer Networks and Communications (163 citations) and Hardware and Architecture (38 citations). Deepa Srinivasan has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Xuxian Jiang, Dongyan Xu, Jinku Li, Zhi Wang, Dimitrios Pendarakis, Reiner Sailer, Stefan Berger, Enriquillo Valdez, Junghwan Rhee and Mike Grace. 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 SHILAP Revista de lepidopterología.

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.

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