Sukumar Nandi

6.3k citations
389 papers · 4.7k · h-index 30

Impact in

Papers in

Sukumar Nandi

364 papers receiving 4.4k citations

Peers

Sukumar Nandi
Comparison fields: 5 of 123
  • Computer Networks and Communications 2.5k
  • Computational Theory and Mathematics 761
  • Signal Processing 510
  • Hardware and Architecture 285
  • Artificial Intelligence 1.3k
Replace Cheng Huang with:
Cheng Huang China
Giuseppe F. Italiano Italy
Ittai Abraham Israel
Hong Shen Australia
Avishai Wool Israel
Teofilo F. Gonzalez United States
Ran El‐Yaniv Israel
Daniel J. Rosenkrantz United States
Amotz Bar-Noy United States
Shlomo Zilberstein United States
Sukumar Nandi relative to Cheng Huang China Cheng Huang's profile →
Citations per field
00.5×2.6×
Cheng Huang · 1×
Citations per year

Countries citing papers authored by Sukumar Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Sukumar Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 389 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997372
2 1994287
3 2015215
4 2019202
5 2020130
6 200571
7 201168
8 200966
9 200657
10 199755
11 201950
12 201949
13 201445
14 201545
15 200543
16 201841
17 201940
18 201138
19 201737
20 201535

About Sukumar Nandi

Sukumar Nandi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 389 papers that have together received 4.7k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (89 papers), Wireless Networks and Protocols (73 papers), Network Security and Intrusion Detection (65 papers), Opportunistic and Delay-Tolerant Networks (48 papers), Energy Efficient Wireless Sensor Networks (36 papers), Internet Traffic Analysis and Secure E-voting (36 papers), Cooperative Communication and Network Coding (29 papers) and Vehicular Ad Hoc Networks (VANETs) (27 papers). The work is most often cited by research in Computer Networks and Communications (2.5k citations), Computational Theory and Mathematics (761 citations), Signal Processing (510 citations), Hardware and Architecture (285 citations) and Artificial Intelligence (1.3k citations). Sukumar Nandi has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Santosh Biswas, Pranav Kumar Singh, P.P. Chaudhuri, Sunit Kumar Nandi, Bidyut Kr. Patra, B.K. Kar, Sandip Chakraborty, Parimal Pal Chaudhuri, Santanu Chattopadhyay and Dipanwita Roy Chowdhury. Their work appears in journals such as IEEE Access, Journal of Network and Computer Applications, Ad Hoc Networks, IEEE Transactions on Computers and Computer Communications.

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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