V. Umadevi

35 papers receiving 353 citations

Peers

V. Umadevi
Comparison fields: 5 of 114
  • Media Technology 45
  • Medical Terminology 1
  • Computer Vision and Pattern Recognition 89
  • Radiology, Nuclear Medicine and Imaging 49
  • Artificial Intelligence 68
Replace Jiansheng Yang with:
Jiansheng Yang China
Jing Cao China
Shuxin Zheng China
Lili Huang China
I. de Zarzà Spain
Hongrui Liu China
Parita Oza India
Yunho Kim South Korea
V. Umadevi relative to Jiansheng Yang China Jiansheng Yang's profile →
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Citations per year

Countries citing papers authored by V. Umadevi

Since Specialization
Citations

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

Fields of papers citing papers by V. Umadevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside V. Umadevi, 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 V. Umadevi Line = papers co-authored together V. Umadevi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198241
2 202135
3 201633
4 198132
5 201126
6 201625
7 201625
8
CASE STUDY â CENTRALITY MEASURE ANALYSIS ON CO-AUTHORSHIP NETWORK
201324
9 201823
10 201913
11 201411
12 202011
13 20209
14 20139
15 20108
16 20237
17 20097
18 20187
19 20095
20 20185

About V. Umadevi

V. Umadevi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 50 papers that have together received 389 indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (6 papers), Thermography and Photoacoustic Techniques (4 papers), Thermoregulation and physiological responses (4 papers), Complex Network Analysis Techniques (4 papers), Vehicle License Plate Recognition (3 papers), Handwritten Text Recognition Techniques (3 papers), Spam and Phishing Detection (3 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Media Technology (45 citations), Medical Terminology (1 citation), Computer Vision and Pattern Recognition (89 citations), Radiology, Nuclear Medicine and Imaging (49 citations) and Artificial Intelligence (68 citations). V. Umadevi has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Akhilesh Arora, S. V. Raghavan, K. Deepak, Anil K. Sood, G. Venkataraman, Ajith Abraham, Mohamed Yacin Sikkandar, Muzammil Hussain, C. Chandrasekar and Marcos Leal Brioschi. Their work appears in journals such as International Journal of Environmental Research and Public Health, Multimedia Tools and Applications, Applied Sciences, Applied Spectroscopy and Journal of King Saud University - Computer and Information Sciences.

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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