V. Rajesh

111 papers receiving 1.0k citations

Peers

V. Rajesh
Comparison fields: 5 of 145
  • Health Information Management 78
  • Neurology 94
  • Geriatrics and Gerontology 28
  • Computer Vision and Pattern Recognition 188
  • Hardware and Architecture 51
Replace Jing Yan with:
Jing Yan China
Balázs Benyó Hungary
Varun Gupta India
Hani Alquhayz Saudi Arabia
Neelam Sanjeev Kumar India
Mehmet K. Aktaş United States
Samih M. Mostafa Egypt
M. Jamal Deen Canada
V. Muthukumaran India
Mohammed S. Sayed Egypt
V. Rajesh relative to Jing Yan China Jing Yan's profile →
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Citations per year

Countries citing papers authored by V. Rajesh

Since Specialization
Citations

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

Fields of papers citing papers by V. Rajesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V. Rajesh, 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. Rajesh Line = papers co-authored together V. Rajesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202287
2
Risk factors predicting operative mortality in perforated peptic ulcer disease.
200458
3 202050
4 201846
5 201041
6 202239
7 202038
8 199938
9 201937
10 202335
11 201132
12 201330
13 202227
14 201826
15 199721
16 202119
17 201819
18
Prediction Of Diabetes Using Machine Learning Classification Algorithms
202018
19 201318
20 200118

About V. Rajesh

V. Rajesh is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Biomedical Engineering, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 127 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Artificial Intelligence in Healthcare (10 papers), Brain Tumor Detection and Classification (10 papers), Image and Signal Denoising Methods (8 papers), IoT-based Smart Home Systems (8 papers), Smart Agriculture and AI (6 papers), Medical Imaging and Analysis (6 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Health Information Management (78 citations), Neurology (94 citations), Geriatrics and Gerontology (28 citations), Computer Vision and Pattern Recognition (188 citations) and Hardware and Architecture (51 citations). V. Rajesh has collaborated with scholars based in India, Egypt and United States. Frequent co-authors include Sk Hasane Ahammad, K. Saikumar, Md. Zıa Ur Rahman, Syed Inthiyaz, Ahmed Nabih Zaki Rashed, Baraa Riyadh Altahan, Md. Amzad Hossain, Lassaad K. Smirani, A. Lay-Ekuakille and J. M. Gnanasekar. Their work appears in journals such as Indian Journal of Science and Technology, Journal of Combinatorial Optimization, International Journal of Pharmacy and Pharmaceutical Sciences, Scientific African and International Communications in Heat and Mass Transfer.

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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