Sanjeev Kumar

2.1k citations
109 papers · 1.6k · h-index 17

Impact in

Papers in

Sanjeev Kumar

92 papers receiving 1.4k citations

Peers

Sanjeev Kumar
Comparison fields: 5 of 99
  • Hardware and Architecture 666
  • Computer Networks and Communications 1.1k
  • Signal Processing 234
  • Information Systems 375
  • Artificial Intelligence 375
Replace Youngjae Kim with:
Youngjae Kim South Korea
Leigh B. Stoller United States
Yu Fang China
Muhammad Nadzir Marsono Malaysia
Thomas Willhalm Germany
Perry C. Cheng United States
Mike Hibler United States
Lu Peng United States
L.M. Patnaik India
Binoy Ravindran United States
Sanjeev Kumar relative to Youngjae Kim South Korea Youngjae Kim's profile →
Citations per field
00.5×1.5×2×2.4×
Youngjae Kim · 1×
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 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008186
2 2004182
3 2006159
4 1998106
5 200774
6 200261
7 202154
8 200739
9 199938
10 202334
11 200426
12 202023
13 201922
14 199822
15 202221
16 201221
17 199620
18 200617
19 201514
20 202114

About Sanjeev Kumar

Sanjeev Kumar is a scholar working on Computer Networks and Communications, Hardware and Architecture, Signal Processing, Information Systems and Artificial Intelligence, having authored 109 papers that have together received 1.6k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (28 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Advanced Malware Detection Techniques (20 papers), Parallel Computing and Optimization Techniques (17 papers), Advanced Data Storage Technologies (11 papers), Cloud Computing and Resource Management (10 papers), IoT and Edge/Fog Computing (8 papers) and Blockchain Technology Applications and Security (8 papers). The work is most often cited by research in Hardware and Architecture (666 citations), Computer Networks and Communications (1.1k citations), Signal Processing (234 citations), Information Systems (375 citations) and Artificial Intelligence (375 citations). Sanjeev Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Anthony D. Nguyen, Christopher J. Hughes, Pin Zhou, Yuanyuan Zhou, Jagadeesan Sundaresan, Partha Kundu, Michael L. Chu, Chris B. Wilkerson, Yen-Kuang Chen and Jatin Chhugani. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the VLDB Endowment, Wireless Personal Communications, Multimedia Tools and Applications and Sustainability.

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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