Jyothi Thomas

463 citations
36 papers · 266 · h-index 6

Impact in

Papers in

Jyothi Thomas

26 papers receiving 225 citations

Peers

Jyothi Thomas
Comparison fields: 5 of 56
  • Health Information Management 150
  • Medical Laboratory Technology 21
  • Artificial Intelligence 96
  • Cardiology and Cardiovascular Medicine 38
  • Insect Science 22
Replace Ravi Kumar Sachdeva with:
Ravi Kumar Sachdeva India
Md. Shamim Reza Bangladesh
Mujtaba Husnain Pakistan
Ahmet Saygılı Türkiye
Xiao Wen China
Hamza Osman İlhan Türkiye
Weili Yang China
Yufeng Zheng United States
Ashish Arora India
Di Miao China
Jyothi Thomas relative to Ravi Kumar Sachdeva India Ravi Kumar Sachdeva's profile →
Citations per field
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Ravi Kumar Sachdeva · 1×
Citations per year

Countries citing papers authored by Jyothi Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Jyothi Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Jyothi Thomas, 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 Jyothi Thomas Line = papers co-authored together Jyothi Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016173
2 200414
3 202213
4 20219
5 20237
6 20245
7 20104
8 20244
9 20243
10 20233
11 20243
12 20242
13 20242
14 20232
15 20242
16 20132
17 20242
18 20242
19 20232
20 20232

About Jyothi Thomas

Jyothi Thomas is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Epidemiology, Computer Vision and Pattern Recognition and Insect Science, having authored 36 papers that have together received 266 indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Cervical Cancer and HPV Research (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Silkworms and Sericulture Research (6 papers), Silk-based biomaterials and applications (4 papers), Medical Imaging and Analysis (4 papers), Image Enhancement Techniques (2 papers) and Infrared Thermography in Medicine (2 papers). The work is most often cited by research in Health Information Management (150 citations), Medical Laboratory Technology (21 citations), Artificial Intelligence (96 citations), Cardiology and Cardiovascular Medicine (38 citations) and Insect Science (22 citations). Jyothi Thomas has collaborated with scholars based in India and Australia. Frequent co-authors include Nick Barnes, Alan Blair, Bhadrachalam Chitturi and S Aswathy. Their work appears in journals such as Indian Journal of Science and Technology, Biology Open, Multimedia Tools and Applications, Artificial Intelligence in Agriculture and Asian Journal of Psychiatry.

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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