Deepayan Bhowmik

1.1k citations
53 papers · 708 · h-index 13

Impact in

Papers in

Deepayan Bhowmik

49 papers receiving 667 citations

Peers

Deepayan Bhowmik
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 305
  • Information Systems 202
  • Signal Processing 67
  • Insect Science 66
  • Hardware and Architecture 35
Replace Xinyu Wang with:
Xinyu Wang China
Danny De Vleeschauwer Belgium
Mingyu Chen China
Jan Kuper Netherlands
Jialin Liu China
Sebastian Tschiatschek Austria
Mikael Andersson Sweden
Alexandros Eleftheriadis United States
Jørgen Lindskov Knudsen Denmark
Deepayan Bhowmik relative to Xinyu Wang China Xinyu Wang's profile →
Citations per field
00.5×10×13.2×
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 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 2017100
3 201193
4 202160
5 201635
6 202034
7 201623
8 202222
9 201817
10 201815
11 201913
12 202113
13 201812
14 202011
15 201110
16 201910
17 201810
18 20159
19 20097
20 20137

About Deepayan Bhowmik

Deepayan Bhowmik is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems, Signal Processing and Insect Science, having authored 53 papers that have together received 708 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (25 papers), Digital Media Forensic Detection (16 papers), Advanced Data Compression Techniques (8 papers), CCD and CMOS Imaging Sensors (7 papers), Visual Attention and Saliency Detection (6 papers), Chaos-based Image/Signal Encryption (5 papers), Video Coding and Compression Technologies (5 papers) and Biological Control of Invasive Species (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (305 citations), Information Systems (202 citations), Signal Processing (67 citations), Insect Science (66 citations) and Hardware and Architecture (35 citations). Deepayan Bhowmik has collaborated with scholars based in United Kingdom, India and Belgium. Frequent co-authors include Charith Abhayaratne, Feng Tian, Oluwaseun Ajao, Shahrzad Zargari, Mark Hawley, Fabien Cardinaux, Andrew Wallace, Armando Marino, Savi Maharaj and Robert Stewart. Their work appears in journals such as IET Information Security, Frontiers in Ecology and Evolution, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Access and Multimedia Systems.

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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