J. Satheesh Kumar

996 citations
28 papers · 664 · h-index 13

Impact in

Papers in

J. Satheesh Kumar

25 papers receiving 619 citations

Peers

J. Satheesh Kumar
Comparison fields: 5 of 126
  • Cognitive Neuroscience 240
  • Analytical Chemistry 95
  • Signal Processing 78
  • Human-Computer Interaction 30
  • Computer Vision and Pattern Recognition 100
Replace Yousef Al-Ohali with:
Yousef Al-Ohali Saudi Arabia
Na Zhang China
Olcay Kurşun Türkiye
Kwang-Eun Ko South Korea
Natheer Khasawneh Jordan
Ke Yu China
Selina Sharmin Bangladesh
Mohammed Benaissa United Kingdom
Shuangshuang Chen China
Aruna Chakraborty India
J. Satheesh Kumar relative to Yousef Al-Ohali Saudi Arabia Yousef Al-Ohali's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Satheesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by J. Satheesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside J. Satheesh Kumar, 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 J. Satheesh Kumar Line = papers co-authored together J. Satheesh Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012228
2 2013135
3 201248
4 201643
5 201338
6 201520
7 201718
8 201618
9 201217
10 201615
11 201615
12 201514
13 201612
14 20227
15
Visualization of Chemical Space Using Principal Component Analysis
20146
16 20165
17 20164
18
Hybrid Segmentation of Peel Abnormalities in Banana Fruit
20134
19 20163
20 20153

About J. Satheesh Kumar

J. Satheesh Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics and Molecular Biology, having authored 28 papers that have together received 664 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Computational Drug Discovery Methods (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Neural Networks and Applications (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Blind Source Separation Techniques (3 papers), Digital Media Forensic Detection (3 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Cognitive Neuroscience (240 citations), Analytical Chemistry (95 citations), Signal Processing (78 citations), Human-Computer Interaction (30 citations) and Computer Vision and Pattern Recognition (100 citations). J. Satheesh Kumar has collaborated with scholars based in India, South Korea and Egypt. Frequent co-authors include P. Bhuvaneswari, Mahmoud M. El-Khouly, T. Amudha, Gyoo‐Soo Chae and S. Ramakrishnan. Their work appears in journals such as Indian Journal of Science and Technology, Wireless Personal Communications, Current Science, Journal of Food Science and Technology and Personal and Ubiquitous Computing.

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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