Deepayan Bhowmik

1.4k citations
61 papers · 830 · h-index 13

Impact in

Papers in

Deepayan Bhowmik

56 papers receiving 790 citations

Peers

Deepayan Bhowmik
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 358
  • Information Systems 229
  • Signal Processing 75
  • Hardware and Architecture 44
  • Insect Science 69
Replace Xinyu Wang with:
Xinyu Wang China
Jan Kuper Netherlands
Mingyu Chen China
Sebastian Tschiatschek Austria
Jialin Liu China
Yehia Elkhatib United Kingdom
Stephen Garner New Zealand
Alexandros Eleftheriadis United States
Mikael Andersson Sweden
Deepayan Bhowmik relative to Xinyu Wang China Xinyu Wang's profile →
Citations per field
00.5×10×13.8×
Xinyu Wang · 1×
Citations per year

Countries citing papers authored by Deepayan Bhowmik

Since Specialization
Citations

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

Fields of papers citing papers by Deepayan Bhowmik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 2017116
3 2011115
4 202171
5 201638
6 202036
7 201625
8 202222
9 201818
10 201817
11 201915
12 202113
13 201812
14 202012
15 201911
16 201111
17 201811
18 201110
19 201510
20 20139

About Deepayan Bhowmik

Deepayan Bhowmik is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems, Signal Processing and Hardware and Architecture, having authored 61 papers that have together received 830 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (28 papers), Digital Media Forensic Detection (17 papers), Advanced Data Compression Techniques (10 papers), CCD and CMOS Imaging Sensors (10 papers), Visual Attention and Saliency Detection (6 papers), Video Coding and Compression Technologies (5 papers), Embedded Systems Design Techniques (5 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (358 citations), Information Systems (229 citations), Signal Processing (75 citations), Hardware and Architecture (44 citations) and Insect Science (69 citations). Deepayan Bhowmik has collaborated with scholars based in United Kingdom, Belgium and Switzerland. Frequent co-authors include Charith Abhayaratne, Feng Tian, Oluwaseun Ajao, Shahrzad Zargari, Mark Hawley, Fabien Cardinaux, Andrew Wallace, Greg Michaelson, Robert Stewart and Armando Marino. Their work appears in journals such as Frontiers in Ecology and Evolution, ACM Transactions on Reconfigurable Technology and Systems, Multimedia Systems, ACM Transactions on Multimedia Computing Communications and Applications and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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