Sanjeev Kumar

2.1k citations
104 papers · 1.4k · h-index 17

Impact in

Papers in

Sanjeev Kumar

86 papers receiving 1.3k citations

Peers

Sanjeev Kumar
Comparison fields: 5 of 88
  • Hardware and Architecture 646
  • Computer Networks and Communications 1.1k
  • Signal Processing 205
  • Information Systems 351
  • Artificial Intelligence 330
Replace Roy Friedman with:
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Youngjae Kim South Korea
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Leigh Stoller United States
Depei Qian China
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Sanjeev Kumar relative to Roy Friedman Israel Roy Friedman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sanjeev Kumar

Since Specialization
Citations

This map shows the geographic impact of Sanjeev Kumar'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 Sanjeev Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Kumar more than expected).

Fields of papers citing papers by Sanjeev Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjeev Kumar. 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 Sanjeev Kumar. The network helps show where Sanjeev Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Sanjeev Kumar, 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 Sanjeev Kumar Line = papers co-authored together Sanjeev Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004180
2 2008171
3 2006152
4 1998103
5 200761
6 200258
7 202148
8 200739
9 199935
10 202331
11 200425
12 202021
13 199820
14 202220
15 199620
16 201217
17 200617
18 201916
19 200714
20 200213

About Sanjeev Kumar

Sanjeev Kumar is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Information Systems and Signal Processing, having authored 104 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (27 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Advanced Malware Detection Techniques (18 papers), Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (11 papers), Cloud Computing and Resource Management (10 papers), Distributed systems and fault tolerance (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Hardware and Architecture (646 citations), Computer Networks and Communications (1.1k citations), Signal Processing (205 citations), Information Systems (351 citations) and Artificial Intelligence (330 citations). Sanjeev Kumar has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Anthony D. Nguyen, Christopher J. Hughes, Pin Zhou, Jagadeesan Sundaresan, Yuanyuan Zhou, Partha Kundu, Michael Chu, Chris Wilkerson, Jatin Chhugani and Yen-Kuang Chen. Their work appears in journals such as ACM SIGPLAN Notices, Computers & Security, IEEE Network, Wireless Personal Communications and IEEE Communications Letters.

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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