S. Murali

519 citations
49 papers · 341 · h-index 10

Impact in

Papers in

    • Advanced Vision and Imaging 18
    • Video Surveillance and Tracking Methods 12
    • Image Enhancement Techniques 8
    • Advanced Steganography and Watermarking Techniques 4
    • Optical measurement and interference techniques 4
    • Image and Object Detection Techniques 4
    • AI in cancer detection 4

S. Murali

40 papers receiving 311 citations

Peers

S. Murali
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 201
  • Media Technology 44
  • Otorhinolaryngology 20
  • Periodontics 19
  • Artificial Intelligence 86
Replace Ryo Takahashi with:
Ryo Takahashi Japan
Hüseyin Üzen Türkiye
Abdulrahman Alruban Saudi Arabia
Lifang Wei China
Kun Han China
Mohammadreza Iman United States
Jianjun Li China
Hyunjae Lee South Korea
Hanxue Gu United States
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Citations per field
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Citations per year

Countries citing papers authored by S. Murali

Since Specialization
Citations

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

Fields of papers citing papers by S. Murali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside S. Murali, 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. Murali Line = papers co-authored together S. Murali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201375
2 202139
3 200925
4 201221
5 201318
6 201912
7 200912
8 201811
9 200711
10 20159
11 20239
12 20168
13 20218
14 20238
15 20207
16 20096
17 20146
18 20196
19
Principal Component Analysis for Analysis and Classification of fMRI Activation Maps
20075
20 20205

About S. Murali

S. Murali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Cognitive Neuroscience and Information Systems, having authored 49 papers that have together received 341 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (18 papers), Video Surveillance and Tracking Methods (12 papers), Image Enhancement Techniques (8 papers), Image Processing Techniques and Applications (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Optical measurement and interference techniques (4 papers), AI in cancer detection (4 papers) and Image and Object Detection Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Media Technology (44 citations), Otorhinolaryngology (20 citations), Periodontics (19 citations) and Artificial Intelligence (86 citations). S. Murali has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include V. K. Govindan, H S Chandrashekar, Basavaraj S. Anami, Lalit Gupta, Dennis L. Molfese, Srinivas Kota, P. Nagabhushan and Ravi Vaidyanathan. Their work appears in journals such as Sadhana, Journal of Mathematical Imaging and Vision, The Visual Computer, Multimedia Tools and Applications and Computational Visual Media.

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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