Prabin Kumar Bora

1.9k citations
160 papers · 1.5k · h-index 19

Impact in

Papers in

Prabin Kumar Bora

144 papers receiving 1.4k citations

Peers

Prabin Kumar Bora
Comparison fields: 5 of 103
  • Human-Computer Interaction 292
  • Computer Vision and Pattern Recognition 905
  • Media Technology 165
  • Ophthalmology 128
  • Signal Processing 185
Replace Y.V. Venkatesh with:
Y.V. Venkatesh India
Jamshid Shanbehzadeh Iran
Xilin Chen China
Jing-Ming Guo Taiwan
Tieniu Tan China
Saad Sirohey United States
Kah Kay Sung Singapore
Tarik Arici United States
C.N. Canagarajah United Kingdom
Graham Leedham Singapore
Prabin Kumar Bora relative to Y.V. Venkatesh India Y.V. Venkatesh's profile →
Citations per field
00.5×4.9×
Y.V. Venkatesh · 1×
Citations per year

Countries citing papers authored by Prabin Kumar Bora

Since Specialization
Citations

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

Fields of papers citing papers by Prabin Kumar Bora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabin Kumar Bora. 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 Prabin Kumar Bora. The network helps show where Prabin Kumar Bora may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 201992
3 202053
4
Reduced Complexity LDPC Decoding using Forced Convergence
200441
5 201035
6 202034
7 200633
8 200833
9 202030
10 202030
11 200829
12 200628
13 201727
14 201522
15 200422
16 200622
17 201021
18 201921
19 202120
20 202018

About Prabin Kumar Bora

Prabin Kumar Bora is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Artificial Intelligence and Electrical and Electronic Engineering, having authored 160 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (32 papers), Digital Media Forensic Detection (26 papers), Image and Signal Denoising Methods (26 papers), Blind Source Separation Techniques (17 papers), Advanced Image Fusion Techniques (15 papers), Hand Gesture Recognition Systems (15 papers), Advanced Image Processing Techniques (14 papers) and Wireless Signal Modulation Classification (13 papers). The work is most often cited by research in Human-Computer Interaction (292 citations), Computer Vision and Pattern Recognition (905 citations), Media Technology (165 citations), Ophthalmology (128 citations) and Signal Processing (185 citations). Prabin Kumar Bora has collaborated with scholars based in India, Malaysia and United Kingdom. Frequent co-authors include Samarendra Dandapat, Vineeta Das, M. K. Bhuyan, Dipak Ghosh, Kh. Manglem Singh, Sibaji Gaj, Arijit Sur, Bhabesh Deka, P. Vinod and Ratnajit Bhattacharjee. Their work appears in journals such as Multimedia Tools and Applications, Biomedical Signal Processing and Control, IEEE Signal Processing Letters, IEEE Access and Computerized Medical Imaging and Graphics.

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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