Sunit Kumar Nandi

519 citations
13 papers · 407 · h-index 8

Impact in

Papers in

Journals
Vehicular Communications (2 papers)Advances in intelligent systems and computing (3 papers)Communications in computer and information science (1 paper)
Partner nations
IndiaUnited Kingdom

In The Last Decade

Sunit Kumar Nandi

13 papers receiving 400 citations

Peers

Sunit Kumar Nandi
Comparison fields: 5 of 44
  • Computer Networks and Communications 227
  • Automotive Engineering 79
  • Electrical and Electronic Engineering 288
  • Information Systems 80
  • Control and Systems Engineering 62
Replace Mohamed Hadded with:
Mohamed Hadded France
JoonBeom Kim United States
Stefan Dietzel Germany
Thant Zin Oo South Korea
Jiefei Ding China
Wassim Znaïdi France
Carlos Renato Storck Brazil
Kazuaki Obana Japan
Manuel Urueña Spain
Hamssa Hasrouny France
Sunit Kumar Nandi relative to Mohamed Hadded France Mohamed Hadded's profile →
Citations per field
00.5×2.8×
Mohamed Hadded · 1×
Citations per year

Countries citing papers authored by Sunit Kumar Nandi

Since Specialization
Citations

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

Fields of papers citing papers by Sunit Kumar Nandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Sunit Kumar 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 Sunit Kumar Nandi Line = papers co-authored together Sunit Kumar Nandi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019202
2 201949
3 201841
4 201828
5 201826
6 201924
7 201812
8 20197
9 20197
10 20205
11 20233
12 20232
13 20191

About Sunit Kumar Nandi

Sunit Kumar Nandi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Automotive Engineering, having authored 13 papers that have together received 407 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (8 papers), IoT and Edge/Fog Computing (4 papers), Software-Defined Networks and 5G (3 papers), Blockchain Technology Applications and Security (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Networks and Communications (227 citations), Automotive Engineering (79 citations), Electrical and Electronic Engineering (288 citations), Information Systems (80 citations) and Control and Systems Engineering (62 citations). Sunit Kumar Nandi has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Sukumar Nandi, Pranav Kumar Singh, Roshan Singh, Kayhan Zrar Ghafoor, Ayush Singh and Satya Prakash. Their work appears in journals such as Vehicular Communications, Advances in intelligent systems and computing and Communications in computer and information science.

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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