Deepa Srinivasan

574 total citations
12 papers, 365 citations indexed

About

Deepa Srinivasan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Deepa Srinivasan has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Deepa Srinivasan's work include Security and Verification in Computing (7 papers), Cloud Data Security Solutions (5 papers) and Network Security and Intrusion Detection (5 papers). Deepa Srinivasan is often cited by papers focused on Security and Verification in Computing (7 papers), Cloud Data Security Solutions (5 papers) and Network Security and Intrusion Detection (5 papers). Deepa Srinivasan collaborates with scholars based in United States, India and Singapore. Deepa Srinivasan's co-authors include Xuxian Jiang, Dongyan Xu, Jinku Li, Zhi Wang, Reiner Sailer, Dimitrios Pendarakis, Enriquillo Valdez, Stefan Berger, Sina Bahram and Mike Grace and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Forensics and Security and IBM Journal of Research and Development.

In The Last Decade

Deepa Srinivasan

11 papers receiving 338 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Deepa Srinivasan United States	7	282	224	179	163	38	12	365
Bernhard Kauer Germany	4	298 1.1×	220 1.0×	160 0.9×	148 0.9×	107 2.8×	8	373
Glenn Wurster Canada	7	186 0.7×	134 0.6×	173 1.0×	86 0.5×	28 0.7×	11	250
Ralf-Philipp Weinmann Luxembourg	6	272 1.0×	160 0.7×	167 0.9×	154 0.9×	14 0.4×	11	364
Alexander Yip United States	6	432 1.5×	262 1.2×	284 1.6×	179 1.1×	39 1.0×	6	478
Takahiro Shinagawa Japan	8	200 0.7×	171 0.8×	122 0.7×	167 1.0×	54 1.4×	39	291
Nico Weichbrodt Germany	8	283 1.0×	159 0.7×	115 0.6×	120 0.7×	49 1.3×	10	318
Bong-Nam Noh South Korea	9	129 0.5×	72 0.3×	138 0.8×	170 1.0×	12 0.3×	36	216
Anil Kurmus Switzerland	11	227 0.8×	109 0.5×	139 0.8×	90 0.6×	86 2.3×	15	289
Xunchao Hu United States	7	151 0.5×	91 0.4×	152 0.8×	89 0.5×	40 1.1×	8	239
Shuo Tang United States	6	174 0.6×	182 0.8×	170 0.9×	74 0.5×	19 0.5×	15	255

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-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

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12 of 12 papers shown

Srinivasan, Deepa, et al.. (2022). Environmental risk factors for cardiovascular diseases using geographic information systems in an urban slum, Bengaluru. SHILAP Revista de lepidopterología. 7(2). 76–82.

Grace, Michael, Zhi Wang, Deepa Srinivasan, et al.. (2012). Transparent Protection of Commodity OS Kernels Using Hardware Virtualization. 3 indexed citations

Li, Jinku, Zhi Wang, Tyler Bletsch, et al.. (2011). Comprehensive and Efficient Protection of Kernel Control Data. IEEE Transactions on Information Forensics and Security. 6(4). 1404–1417. 29 indexed citations

Srinivasan, Deepa, Zhi Wang, Xuxian Jiang, & Dongyan Xu. (2011). Process out-grafting. 363–374. 62 indexed citations

Bahram, Sina, Xuxian Jiang, Zhi Wang, et al.. (2010). DKSM: Subverting Virtual Machine Introspection for Fun and Profit. 82–91. 115 indexed citations

Goldman, Kenneth, Reiner Sailer, Dimitrios Pendarakis, & Deepa Srinivasan. (2010). Scalable integrity monitoring in virtualized environments. 73–78. 7 indexed citations

Berger, Stefan, Rafaela Cáceres, Kenneth Goldman, et al.. (2009). Security for the cloud infrastructure: Trusted virtual data center implementation. IBM Journal of Research and Development. 53(4). 6:1–6:12. 45 indexed citations

Berger, Stefan, Ramón Cáceres, Dimitrios Pendarakis, et al.. (2008). TVDc. ACM SIGOPS Operating Systems Review. 42(1). 40–47. 87 indexed citations

Srinivasan, Deepa & Wu-chang Feng. (2005). Performance analysis of multi-dimensional packet classification on programmable network processors. Computer Communications. 28(15). 1752–1760. 3 indexed citations

10.

Srinivasan, Deepa & Wu-chang Feng. (2004). Performance analysis of multi-dimensional packet classification on programmable network processors. 626. 360–367. 10 indexed citations

11.

Srinivasan, Deepa. (2003). Performance analysis of packet classification algorithms on network processors. OHSU Digital Commons. 2 indexed citations

12.

Srinivasan, Deepa. (2003). Battling Hazards with a Brand New Tool. Texas Digital Library (University of Texas). 2 indexed citations

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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