Umarani Jayaraman

521 citations
35 papers · 382 · h-index 12

Impact in

Papers in

Umarani Jayaraman

34 papers receiving 361 citations

Peers

Umarani Jayaraman
Comparison fields: 5 of 23
  • Signal Processing 172
  • Computer Vision and Pattern Recognition 84
  • Neurology 18
  • Oncology 26
  • Media Technology 2
Replace Zhuoshi Wei with:
Zhuoshi Wei United States
Aidan Boyd United States
Xuedong Yuan China
Alistair Sutherland Ireland
Shahzaib Iqbal Pakistan
Chengrui Gao China
Yiyu Chen China
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Håvard Espeland Norway
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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 8 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 202340
3 200938
4 201424
5 200821
6 202221
7 200820
8 201119
9 200918
10 200817
11 201015
12 201214
13 20099
14 20098
15 20108
16
IT Infrastructure and its Management
20095
17 20115
18 20144
19 20143
20 20203

About Umarani Jayaraman

Umarani Jayaraman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 35 papers that have together received 382 indexed citations. Recurring topics across this work include Biometric Identification and Security (13 papers), Face recognition and analysis (9 papers), Brain Tumor Detection and Classification (4 papers), Retinal Imaging and Analysis (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Digital Media Forensic Detection (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Signal Processing (172 citations), Computer Vision and Pattern Recognition (84 citations), Neurology (18 citations), Oncology (26 citations) and Media Technology (2 citations). Umarani Jayaraman has collaborated with scholars based in India and United States. Frequent co-authors include Phalguni Gupta, Surya Prakash, Sandesh Gupta, Kamlesh Tiwari, Amit Kumar Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Puneet Gupta, Ajita Rattani and Arushi Jain. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, Expert Systems with Applications, Biomedical Signal Processing and Control and Computers in Biology and Medicine.

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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