Deepayan Bhowmik

1.1k total citations
53 papers, 708 citations indexed

About

Deepayan Bhowmik is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Deepayan Bhowmik has authored 53 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 9 papers in Electrical and Electronic Engineering and 7 papers in Information Systems. Recurrent topics in Deepayan Bhowmik's work include Advanced Steganography and Watermarking Techniques (25 papers), Digital Media Forensic Detection (16 papers) and Advanced Data Compression Techniques (8 papers). Deepayan Bhowmik is often cited by papers focused on Advanced Steganography and Watermarking Techniques (25 papers), Digital Media Forensic Detection (16 papers) and Advanced Data Compression Techniques (8 papers). Deepayan Bhowmik collaborates with scholars based in United Kingdom, India and Belgium. Deepayan Bhowmik's co-authors include Charith Abhayaratne, Feng Tian, Oluwaseun Ajao, Shahrzad Zargari, Mark Hawley, Fabien Cardinaux, Andrew Wallace, Armando Marino, Savi Maharaj and Robert Stewart and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Remote Sensing.

In The Last Decade

Deepayan Bhowmik

49 papers receiving 667 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deepayan Bhowmik United Kingdom 13 305 202 130 122 82 53 708
Xinyu Wang China 18 160 0.5× 317 1.6× 369 2.8× 18 0.1× 279 3.4× 67 943
Sebastian Tschiatschek Austria 12 95 0.3× 137 0.7× 276 2.1× 163 1.3× 44 0.5× 40 614
Jialin Liu China 14 294 1.0× 58 0.3× 643 4.9× 151 1.2× 22 0.3× 91 890
Jan Kuper Netherlands 12 42 0.1× 39 0.2× 73 0.6× 30 0.2× 222 2.7× 74 596
Lukas Lukas Indonesia 12 91 0.3× 70 0.3× 144 1.1× 40 0.3× 34 0.4× 98 571
Eran A. Edirisinghe United Kingdom 15 518 1.7× 88 0.4× 189 1.5× 14 0.1× 19 0.2× 110 894
Mingyu Chen China 21 170 0.6× 250 1.2× 134 1.0× 30 0.2× 840 10.2× 140 1.4k
Cuong Duc Nguyen United States 6 66 0.2× 75 0.4× 157 1.2× 32 0.3× 41 0.5× 13 495
Yujun Zhang China 16 201 0.7× 114 0.6× 258 2.0× 109 0.9× 216 2.6× 79 784

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-authorship network of co-authors of Deepayan Bhowmik

This figure shows the co-authorship network connecting the top 25 collaborators of Deepayan Bhowmik. A scholar is included among the top collaborators of Deepayan Bhowmik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepayan Bhowmik. Deepayan Bhowmik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Akbari, Vahid, et al.. (2024). Detection and Mapping of Water Hyacinth Growth Cycle in Anzali International Wetland Using Sentinel-2 Time Series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13346–13357. 1 indexed citations
2.
Hobson, J. Allan, et al.. (2024). Combating the use of AI in image manipulation. 7–7. 1 indexed citations
3.
McGough, A. Stephen, et al.. (2024). Remote sensing classification using quantum image processing. Newcastle University ePrints (Newcastle Univesity). 26–26. 2 indexed citations
4.
Tewkesbury, Andrew, et al.. (2024). Satellite image manipulation detection in generative AI era. Newcastle University ePrints (Newcastle Univesity). 28–28.
5.
Bhowmik, Deepayan, et al.. (2023). Domain-Specific Optimisations for Image Processing on FPGAs. Journal of Signal Processing Systems. 95(10). 1167–1179. 1 indexed citations
6.
Bhowmik, Deepayan, et al.. (2023). TRAIT: A Trusted Media Distribution Framework. Newcastle University ePrints (Newcastle Univesity). 1–5.
7.
Bhowmik, Deepayan, et al.. (2022). Media security framework inspired by emerging challenges in fake media and NFT. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 25–25. 6 indexed citations
8.
Akbari, Vahid, Aviraj Datta, Deepayan Bhowmik, et al.. (2022). Multitemporal multispectral drone imagery for water hyacinth mapping in Patancheru lake, Hyderabad, India. Newcastle University ePrints (Newcastle Univesity). 12–12. 3 indexed citations
9.
Bhowmik, Deepayan, et al.. (2021). Security and Forensics Exploration of Learning-based Image Coding. Newcastle University ePrints (Newcastle Univesity). 1–5. 3 indexed citations
10.
Bhowmik, Deepayan, et al.. (2021). JPEG Fake Media: a provenance-based sustainable approach to secure and trustworthy media annotation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 68. 24–24. 2 indexed citations
11.
Berardi, Andrea, et al.. (2020). Assessing Hydrological Dynamics of Guyana’s North Rupununi Wetlands Using Sentinel-1 Sar Imagery Change Detection Analysis on Google Earth Engine. Stirling Online Research Repository (University of Stirling). 5–8. 1 indexed citations
12.
Simpson, Morgan, Armando Marino, Deepayan Bhowmik, et al.. (2020). Monitoring Water Hyacinth in Kuttanad, India Using Sentinel-1 Sar Data. Stirling Online Research Repository (University of Stirling). 13–16. 11 indexed citations
13.
Bhowmik, Deepayan, et al.. (2020). IoT security vulnerabilities and predictive signal jamming attack analysis in LoRaWAN. IET Information Security. 14(4). 368–379. 34 indexed citations
14.
Ajao, Oluwaseun, Deepayan Bhowmik, & Shahrzad Zargari. (2019). Sentiment Aware Fake News Detection on Online Social Networks (Forthcoming). International Conference on Acoustics, Speech, and Signal Processing. 1 indexed citations
15.
Bhowmik, Deepayan, et al.. (2019). Optimized Memory Allocation and Power Minimization for FPGA-Based Image Processing. Journal of Imaging. 5(1). 7–7. 13 indexed citations
16.
Bhowmik, Deepayan, et al.. (2018). Long-term correlation tracking using multi-layer hybrid features in dense environments. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 12 indexed citations
17.
Stewart, Robert, et al.. (2018). RIPL. ACM Transactions on Reconfigurable Technology and Systems. 11(1). 1–24. 17 indexed citations
18.
Bhowmik, Deepayan & Feng Tian. (2017). The multimedia blockchain: A distributed and tamper-proof media transaction framework. SHURA (Sheffield Hallam University Research Archive) (Sheffield Hallam University). 1–5. 100 indexed citations
19.
Bhowmik, Deepayan, Andrew Wallace, Robert Stewart, Xinyuan Qian, & Greg Michaelson. (2014). Profile driven dataflow optimisation of mean shift visual tracking. Stirling Online Research Repository (University of Stirling). 19. 1–5. 2 indexed citations
20.
Bhowmik, Deepayan & Charith Abhayaratne. (2012). 2D+t Wavelet Domain Video Watermarking. Advances in Multimedia. 2012. 1–19. 5 indexed citations

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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