Kaushik Deb

1.8k citations
99 papers · 983 · h-index 18

Impact in

    • Vehicle License Plate Recognition
    • Handwritten Text Recognition Techniques
    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Advanced Steganography and Watermarking Techniques
    • Image and Object Detection Techniques

Papers in

    • Video Surveillance and Tracking Methods 25
    • Handwritten Text Recognition Techniques 16
    • Human Pose and Action Recognition 12
    • Advanced Image and Video Retrieval Techniques 9
    • Advanced Neural Network Applications 8
    • Vehicle License Plate Recognition 27

Kaushik Deb

91 papers receiving 908 citations

Peers

Kaushik Deb
Comparison fields: 5 of 108
  • Media Technology 365
  • Computer Vision and Pattern Recognition 615
  • General Energy 15
  • Human-Computer Interaction 46
  • Building and Construction 89
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Citations per field
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Citations per year

Countries citing papers authored by Kaushik Deb

Since Specialization
Citations

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

Fields of papers citing papers by Kaushik Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 200969
3 201243
4 200842
5 201734
6 201431
7 202130
8 202128
9 202326
10 201226
11 200926
12 202326
13 202122
14 202120
15 202020
16 201020
17 201618
18 201817
19 200816
20 201716

About Kaushik Deb

Kaushik Deb is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Human-Computer Interaction and Building and Construction, having authored 99 papers that have together received 983 indexed citations. Recurring topics across this work include Vehicle License Plate Recognition (27 papers), Video Surveillance and Tracking Methods (25 papers), Handwritten Text Recognition Techniques (16 papers), Human Pose and Action Recognition (12 papers), Anomaly Detection Techniques and Applications (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Smart Parking Systems Research (8 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Media Technology (365 citations), Computer Vision and Pattern Recognition (615 citations), General Energy (15 citations), Human-Computer Interaction (46 citations) and Building and Construction (89 citations). Kaushik Deb has collaborated with scholars based in Bangladesh, South Korea and Japan. Frequent co-authors include Kang-Hyun Jo, Pranab Kumar Dhar, Takeshi Koshiba, Mohammed Moshiul Hoque, Tetsuya Shimamura, Massimo Filippini, Iqbal H. Sarker, Anik Saha, Syed Md. Minhaz Hossain and Soumen Chakraborty. Their work appears in journals such as IEEE Access, Applied Sciences, Sensors, Symmetry and ICT Express.

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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