B. Perumal

442 citations
50 papers · 255 · h-index 10

Impact in

Papers in

B. Perumal

36 papers receiving 233 citations

Peers

B. Perumal
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 99
  • Computer Networks and Communications 71
  • Media Technology 21
  • Health Information Management 10
  • Signal Processing 23
Replace Ciarán Eising with:
Ciarán Eising Ireland
M. Jayalakshmi India
Md. Mahfuz Reza Bangladesh
M. Vinoth Kumar India
S. Satheeskumaran India
A. Sampath Dakshina Murthy India
Prince Priya Malla India
Isha Kansal India
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Citations per field
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Citations per year

Countries citing papers authored by B. Perumal

Since Specialization
Citations

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

Fields of papers citing papers by B. Perumal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside B. Perumal, 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 B. Perumal Line = papers co-authored together B. Perumal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201842
2 201528
3 202120
4 202017
5 201815
6 202011
7 201810
8 201610
9 20169
10 20229
11 20198
12 20228
13 20157
14 20216
15 20196
16 20216
17 20185
18 20194
19 20214
20 20233

About B. Perumal

B. Perumal is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Media Technology and Biomedical Engineering, having authored 50 papers that have together received 255 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Data Compression Techniques (5 papers), Advanced Image Processing Techniques (4 papers), IoT-based Smart Home Systems (4 papers), Brain Tumor Detection and Classification (4 papers), Image Processing Techniques and Applications (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Computer Networks and Communications (71 citations), Media Technology (21 citations), Health Information Management (10 citations) and Signal Processing (23 citations). B. Perumal has collaborated with scholars based in India, Cuba and United States. Frequent co-authors include M. Pallikonda Rajasekaran, J. Deny, P. Nagaraj, V. Muneeswaran, S. Saravanan, G. Suseendran, D. Akila, Ankit Kumar, T. Jarin and Ramanathan Subramanian. Their work appears in journals such as Multimedia Tools and Applications, Environmental Geochemistry and Health, International Journal of Imaging Systems and Technology, Journal of Intelligent & Fuzzy Systems and International Journal of Pattern Recognition and Artificial Intelligence.

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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