Sambit Bakshi

3.0k citations
130 papers · 2.1k · h-index 27

Impact in

Papers in

    • Video Surveillance and Tracking Methods 28
    • Face recognition and analysis 22
    • Face and Expression Recognition 14
    • Advanced Steganography and Watermarking Techniques 11
    • Human Pose and Action Recognition 11
    • Advanced Image and Video Retrieval Techniques 10
    • Advanced Neural Network Applications 8
    • Biometric Identification and Security 30

Sambit Bakshi

124 papers receiving 2.0k citations

Peers

Sambit Bakshi
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 935
  • Signal Processing 465
  • Information Systems 386
  • Artificial Intelligence 549
  • Neurology 126
Replace Fahd N. Al‐Wesabi with:
Fahd N. Al‐Wesabi Saudi Arabia
Sandeep Kumar India
Haoxiang Wang China
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Anwer Mustafa Hilal Saudi Arabia
Rafał Scherer Poland
Ayman Altameem Saudi Arabia
Ainuddin Wahid Abdul Wahab Malaysia
Hari Mohan Pandey United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Sambit Bakshi

Since Specialization
Citations

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

Fields of papers citing papers by Sambit Bakshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 201785
3 202076
4 201663
5 201859
6 201856
7 201951
8 201948
9 201847
10 201941
11 201641
12 201737
13 202237
14 202035
15 202234
16 202034
17 201733
18 201832
19 201732
20 201631

About Sambit Bakshi

Sambit Bakshi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 130 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biometric Identification and Security (30 papers), Video Surveillance and Tracking Methods (28 papers), Face recognition and analysis (22 papers), Face and Expression Recognition (14 papers), Advanced Steganography and Watermarking Techniques (11 papers), Human Pose and Action Recognition (11 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (935 citations), Signal Processing (465 citations), Information Systems (386 citations), Artificial Intelligence (549 citations) and Neurology (126 citations). Sambit Bakshi has collaborated with scholars based in India, South Korea and Italy. Frequent co-authors include Pankaj Kumar, Banshidhar Majhi, Manmath Narayan Sahoo, Khan Muhammad, Jitendra Kumar Rout, Sanjay Kumar Jena, Santos Kumar Baliarsingh, Kim‐Kwang Raymond Choo, Swati Vipsita and Arun Kumar Sangaiah. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Pattern Recognition Letters, Journal of Ambient Intelligence and Humanized Computing and IEEE Transactions on Consumer Electronics.

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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