Bhabesh Deka

621 citations
80 papers · 439 · h-index 12

Impact in

Papers in

Bhabesh Deka

70 papers receiving 420 citations

Peers

Bhabesh Deka
Comparison fields: 5 of 78
  • Media Technology 79
  • Computer Vision and Pattern Recognition 146
  • Computational Mechanics 115
  • Radiology, Nuclear Medicine and Imaging 86
  • Acoustics and Ultrasonics 3
Replace Xiefeng Cheng with:
Xiefeng Cheng China
Wenfei Cao China
Boris Mailhé United States
Gyanendra Sheoran India
Satish Mulleti India
Hsiao-Chi Li United States
Marc C. Robini France
Olivier Laligant France
Takashi Ida Japan
Alejandro Federico Argentina
Bhabesh Deka relative to Xiefeng Cheng China Xiefeng Cheng's profile →
Citations per field
00.5×4.3×
Xiefeng Cheng · 1×
Citations per year

Countries citing papers authored by Bhabesh Deka

Since Specialization
Citations

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

Fields of papers citing papers by Bhabesh Deka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201525
2 202221
3 201317
4 201815
5 202115
6 202115
7 201714
8 202013
9 201813
10 202012
11 201612
12 202112
13 202311
14
A Multiscale Detection based Adaptive Median Filter for the Removal of Salt and Pepper Noise from Highly Corrupted Images
201311
15 202111
16 202210
17 201010
18 20119
19 20249
20 20188

About Bhabesh Deka

Bhabesh Deka is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 439 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (32 papers), Image and Signal Denoising Methods (26 papers), Advanced Image Processing Techniques (22 papers), Advanced MRI Techniques and Applications (18 papers), Advanced Image Fusion Techniques (17 papers), Photoacoustic and Ultrasonic Imaging (13 papers), Blind Source Separation Techniques (8 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Media Technology (79 citations), Computer Vision and Pattern Recognition (146 citations), Computational Mechanics (115 citations), Radiology, Nuclear Medicine and Imaging (86 citations) and Acoustics and Ultrasonics (3 citations). Bhabesh Deka has collaborated with scholars based in India, United Kingdom and Germany. Frequent co-authors include Sumit Datta, Prabin Kumar Bora, Rahul Sharma, Vincent Fusco, Okan Yurduseven, A. Srinivasan, Debashis Ghosh, Ranjan K. Singh, B. S. D. Ch. S. Varaprasad and Y. K. Takahashi. Their work appears in journals such as Biomedical Signal Processing and Control, IEEE Access, IEEE Transactions on Artificial Intelligence, IEEE Sensors Journal and Chaos Solitons & Fractals.

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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