Rameswar Debnath

686 citations
38 papers · 430 · h-index 11

Impact in

    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Advanced Steganography and Watermarking Techniques
    • Digital Media Forensic Detection
    • Image Retrieval and Classification Techniques
    • Poxvirus research and outbreaks

Papers in

Rameswar Debnath

32 papers receiving 397 citations

Peers

Rameswar Debnath
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 184
  • Virology 25
  • Artificial Intelligence 130
  • Media Technology 35
  • Control and Systems Engineering 62
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Citations per field
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Citations per year

Countries citing papers authored by Rameswar Debnath

Since Specialization
Citations

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

Fields of papers citing papers by Rameswar Debnath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Rameswar Debnath, 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 Rameswar Debnath Line = papers co-authored together Rameswar Debnath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004121
2 200447
3 201832
4 202431
5 200526
6 201925
7 200718
8 201916
9 201013
10 202213
11 200511
12 202310
13 20199
14 20069
15 20236
16 20146
17 20165
18 20194
19 20204
20 20203

About Rameswar Debnath

Rameswar Debnath is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Molecular Biology and Numerical Analysis, having authored 38 papers that have together received 430 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Neural Networks and Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Advanced Algorithms and Applications (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Smart Agriculture and AI (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Advanced Optimization Algorithms Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (184 citations), Virology (25 citations), Artificial Intelligence (130 citations), Media Technology (35 citations) and Control and Systems Engineering (62 citations). Rameswar Debnath has collaborated with scholars based in Bangladesh, Japan and South Korea. Frequent co-authors include Haruhisa Takahashi, Masakazu Muramatsu, Takio Kurita, SK Alamgir Hossain, Apurba Adhikary, Avi Deb Raha, Yu Qiao, Md. Mehedi Hassan, Sheikh Mohammed Shariful Islam and Anupam Kumar Bairagi. Their work appears in journals such as IEEE Access, Pattern Analysis and Applications, Expert Systems with Applications, Applied Intelligence and Biosystems.

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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