Umarani Jayaraman

506 citations
43 papers · 390 · h-index 12

Impact in

Papers in

    • Face recognition and analysis 11
    • Advanced Image and Video Retrieval Techniques 10
    • Image Retrieval and Classification Techniques 8
    • Advanced Neural Network Applications 5
    • Face and Expression Recognition 5
    • Biometric Identification and Security 19

Umarani Jayaraman

40 papers receiving 371 citations

Peers

Umarani Jayaraman
Comparison fields: 5 of 60
  • Signal Processing 221
  • Computer Vision and Pattern Recognition 270
  • Information Systems 71
  • Neurology 16
  • Safety Research 16
Replace Yong Fan with:
Yong Fan China
Yaping Huang China
S. M. Anzar India
Min Beom Lee South Korea
Zhuoshi Wei United States
Somsak Choomchuay Thailand
Weili Yang China
Feng Chung Wu Brazil
Akshay Girdhar India
Peter Rot Slovenia
Umarani Jayaraman relative to Yong Fan China Yong Fan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Umarani Jayaraman

Since Specialization
Citations

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

Fields of papers citing papers by Umarani Jayaraman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Umarani Jayaraman, 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 Umarani Jayaraman Line = papers co-authored together Umarani Jayaraman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202070
2 202339
3 200938
4 201423
5 200821
6 202220
7 200819
8 201119
9 200918
10 200817
11 201015
12 201214
13 20099
14 20098
15 20108
16 20115
17
IT Infrastructure and its Management
20095
18 20084
19 20144
20 20203

About Umarani Jayaraman

Umarani Jayaraman is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Neurology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 390 indexed citations. Recurring topics across this work include Biometric Identification and Security (19 papers), Face recognition and analysis (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (8 papers), Graph Labeling and Dimension Problems (5 papers), Advanced Neural Network Applications (5 papers), Brain Tumor Detection and Classification (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Signal Processing (221 citations), Computer Vision and Pattern Recognition (270 citations), Information Systems (71 citations), Neurology (16 citations) and Safety Research (16 citations). Umarani Jayaraman has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Phalguni Gupta, Surya Prakash, Sandesh Gupta, Geetika Arora, Kamlesh Tiwari, Spyros Tragoudas, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, S. Murugesan, Arushi Jain and Puneet Gupta. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, Computers in Biology and Medicine, Information Sciences and Expert Systems with Applications.

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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