S. Palanivel

1.7k citations
74 papers · 1.2k · h-index 19

Impact in

Papers in

    • Face and Expression Recognition 17
    • Video Analysis and Summarization 12
    • Face recognition and analysis 10
    • Advanced Image and Video Retrieval Techniques 8
    • Video Surveillance and Tracking Methods 7
    • Speech and Audio Processing 23
    • Music and Audio Processing 21
    • Biometric Identification and Security 7

S. Palanivel

70 papers receiving 1.1k citations

Peers

S. Palanivel
Comparison fields: 5 of 132
  • Signal Processing 391
  • Computer Vision and Pattern Recognition 406
  • Artificial Intelligence 452
  • Anesthesiology and Pain Medicine 49
  • Experimental and Cognitive Psychology 93
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Citations per year

Countries citing papers authored by S. Palanivel

Since Specialization
Citations

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

Fields of papers citing papers by S. Palanivel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008132
2 200895
3 200981
4 201062
5 201656
6 201655
7 200953
8 201252
9 200848
10 200748
11 201542
12 201639
13 201038
14 200531
15 201729
16 201026
17 200925
18 200721
19 201120
20 200914

About S. Palanivel

S. Palanivel is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Analytical Chemistry, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (23 papers), Music and Audio Processing (21 papers), Face and Expression Recognition (17 papers), Video Analysis and Summarization (12 papers), Face recognition and analysis (10 papers), Advanced Image and Video Retrieval Techniques (8 papers), Biometric Identification and Security (7 papers) and Video Surveillance and Tracking Methods (7 papers). The work is most often cited by research in Signal Processing (391 citations), Computer Vision and Pattern Recognition (406 citations), Artificial Intelligence (452 citations), Anesthesiology and Pain Medicine (49 citations) and Experimental and Cognitive Psychology (93 citations). S. Palanivel has collaborated with scholars based in India, United States and Australia. Frequent co-authors include V. Ramalingam, P. Dhanalakshmi, T. S. Subashini, M. Balasubramanian, S. Jothilakshmi, P. Bagavathi Sivakumar, B. Yegnanarayana, K. Rajan, Avvaru N. Suhasini and C. Balasubramanian. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Computer Vision and Image Understanding, International Journal of Computational Intelligence Systems and Optik.

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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