Bimal Kumar Roy

969 citations
70 papers · 753 · h-index 14

Impact in

Papers in

Bimal Kumar Roy

63 papers receiving 715 citations

Peers

Bimal Kumar Roy
Comparison fields: 5 of 84
  • Computer Networks and Communications 345
  • Environmental Chemistry 82
  • Artificial Intelligence 238
  • Computer Vision and Pattern Recognition 138
  • Information Systems 96
Replace Erdal Kılıç with:
Erdal Kılıç Türkiye
Noriyuki Fujimoto Japan
Yuxin Ding China
Steve Rabin United States
Ignacio Ponzoni Argentina
Andreas Eitel Germany
Yajie Li China
N. B. VENKATESWARLU India
Bimal Kumar Roy relative to Erdal Kılıç Türkiye Erdal Kılıç's profile →
Citations per field
00.5×2×4×6×8.2×
Erdal Kılıç · 1×
Citations per year

Countries citing papers authored by Bimal Kumar Roy

Since Specialization
Citations

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

Fields of papers citing papers by Bimal Kumar Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005101
2 200670
3 200757
4 202054
5 200945
6 202137
7 200534
8 200426
9 200923
10 201318
11 200717
12 199815
13 198914
14 199114
15 200513
16 201412
17 202112
18 201411
19 198811
20 200910

About Bimal Kumar Roy

Bimal Kumar Roy is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture, having authored 70 papers that have together received 753 indexed citations. Recurring topics across this work include Security in Wireless Sensor Networks (17 papers), Energy Efficient Wireless Sensor Networks (15 papers), graph theory and CDMA systems (10 papers), Coding theory and cryptography (10 papers), Network Security and Intrusion Detection (8 papers), Chaos-based Image/Signal Encryption (7 papers), Wireless Communication Security Techniques (6 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (345 citations), Environmental Chemistry (82 citations), Artificial Intelligence (238 citations), Computer Vision and Pattern Recognition (138 citations) and Information Systems (96 citations). Bimal Kumar Roy has collaborated with scholars based in India, Canada and Australia. Frequent co-authors include Sushmita Ruj, Subhamoy Maitra, Samiran Bag, Avishek Adhikari, Kumar K. Mahalanabis, Feng Hao, Mohammad Mahmudur Rahman‬, Dilip Lodh, Amitava Mukherjee and Sad Ahamed. Their work appears in journals such as Journal of Statistical Planning and Inference, Lecture notes in computer science, Analytica Chimica Acta, ACM Transactions on Sensor Networks and Journal of the Indian Institute of 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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