Subhas Barman

524 citations
29 papers · 319 · h-index 11

Impact in

Papers in

    • Biometric Identification and Security 11
    • Data Management and Algorithms 4
    • User Authentication and Security Systems 12
    • Blockchain Technology Applications and Security 4

Subhas Barman

27 papers receiving 301 citations

Peers

Subhas Barman
Comparison fields: 5 of 68
  • Signal Processing 135
  • Information Systems 182
  • Computer Networks and Communications 107
  • Computer Vision and Pattern Recognition 82
  • Artificial Intelligence 68
Replace Arti Arya with:
Arti Arya India
Sashank Narain United States
Asma Ben Letaïfa Tunisia
Da‐Yu Kao Taiwan
Prasad B. Honnavalli India
Zhengxin Ma China
Nor Masri Sahri Japan
Hui Wen China
Nian Xue China
Subhas Barman relative to Arti Arya India Arti Arya's profile →
Citations per field
00.5×2.6×
Arti Arya · 1×
Citations per year

Countries citing papers authored by Subhas Barman

Since Specialization
Citations

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

Fields of papers citing papers by Subhas Barman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Subhas Barman, 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 Subhas Barman Line = papers co-authored together Subhas Barman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201952
2 201741
3 201835
4 201528
5 201724
6 201416
7 201813
8 201613
9 201613
10 202011
11 202210
12 20248
13 20166
14 20145
15 20155
16 20155
17
Bayesian Fusion in Cancer Gene Prediction
20155
18 20145
19 20244
20 20224

About Subhas Barman

Subhas Barman is a scholar working on Signal Processing, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 29 papers that have together received 319 indexed citations. Recurring topics across this work include User Authentication and Security Systems (12 papers), Biometric Identification and Security (11 papers), Advanced Steganography and Watermarking Techniques (5 papers), Advanced Authentication Protocols Security (4 papers), Data Management and Algorithms (4 papers), Blockchain Technology Applications and Security (4 papers), Chaos-based Image/Signal Encryption (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Signal Processing (135 citations), Information Systems (182 citations), Computer Networks and Communications (107 citations), Computer Vision and Pattern Recognition (82 citations) and Artificial Intelligence (68 citations). Subhas Barman has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Debasis Samanta, Samiran Chattopadhyay, Hubert P. H. Shum, Gaurang Panchal, Priti Gupta, Sanket Biswas, Suvojit Manna, Ashok Kumar Das, Joel J. P. C. Rodrigues and Youngho Park. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Intelligent Systems with Applications, Computers & Electrical Engineering and International Journal of Biometrics.

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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