V. Rajesh

101 papers receiving 825 citations

Peers

V. Rajesh
Comparison fields: 5 of 141
  • Health Information Management 62
  • Neurology 71
  • Geriatrics and Gerontology 31
  • Computer Vision and Pattern Recognition 155
  • Hardware and Architecture 44
Replace Seung Min Park with:
Seung Min Park South Korea
Mehmet K. Aktaş United States
M. Jamal Deen Canada
Mohammed S. Sayed Egypt
Neelam Sanjeev Kumar India
Irshad Ahmad Ansari India
Dieter Hayn Austria
Josep Vehı́ Spain
Manal Alghamdi Saudi Arabia
Muddasar Naeem Italy
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Citations per field
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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 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202273
2
Risk factors predicting operative mortality in perforated peptic ulcer disease.
200453
3 201845
4 202034
5 201033
6 201132
7 199932
8 202031
9 202330
10 202230
11 201329
12 201927
13 201822
14 202222
15
Prediction Of Diabetes Using Machine Learning Classification Algorithms
202017
16 201317
17 199717
18 200117
19 201416
20 201315

About V. Rajesh

V. Rajesh is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 949 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Brain Tumor Detection and Classification (9 papers), Artificial Intelligence in Healthcare (8 papers), Image and Signal Denoising Methods (8 papers), IoT-based Smart Home Systems (7 papers), COVID-19 diagnosis using AI (6 papers), Smart Agriculture and AI (5 papers) and Medical Imaging and Analysis (5 papers). The work is most often cited by research in Health Information Management (62 citations), Neurology (71 citations), Geriatrics and Gerontology (31 citations), Computer Vision and Pattern Recognition (155 citations) and Hardware and Architecture (44 citations). V. Rajesh has collaborated with scholars based in India, Egypt and United States. Frequent co-authors include K. Saikumar, Sk Hasane Ahammad, Md. Zıa Ur Rahman, Syed Inthiyaz, Ahmed Nabih Zaki Rashed, Baraa Riyadh Altahan, Ruth Ramya Kalangi, Lassaad K. Smirani, Md. Amzad Hossain and R.S. Ponmagal. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Access, Journal of Combinatorial Optimization, International Communications in Heat and Mass Transfer and Wireless Personal Communications.

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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