S. Mohan Kumar

43 papers receiving 253 citations

Peers

S. Mohan Kumar
Comparison fields: 5 of 109
  • Equine 14
  • Health Informatics 10
  • Computer Networks and Communications 75
  • Neurology 16
  • Computer Vision and Pattern Recognition 32
Replace Fahed Jubair with:
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Hassan Aqeel Khan Pakistan
Rahim Khan China
Neetu Mittal India
L. Megalan Leo India
Mohib Ullah Pakistan
Md. Mahfujur Rahman Bangladesh
Kapil Kumar Nagwanshi India
Jingwen Zhou Australia
Fatma Helmy Ismail Egypt
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Citations per year

Countries citing papers authored by S. Mohan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by S. Mohan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Mohan Kumar. 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 S. Mohan Kumar. The network helps show where S. Mohan Kumar may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200463
2 202045
3 201617
4
Antifertility effects of Malvaviscus conzattii greenm flower extract (sc) on male albino mice.
198017
5 197116
6
HF backscatter radar at the magnetic equator : System details and preliminary results
200113
7 202110
8 20218
9 20167
10 20217
11 20216
12 20156
13
Importance of Manual Image Annotation Tools and Free Datasets for Medical Research
20195
14
The Performance Evaluation of the Breast Microcalcification CAD System Based on DWT, SNE AND SVM
20135
15 20195
16 20225
17 20224
18 20204
19 20214
20
Cryptographic System Models and Algorithms for Network Security
20193

About S. Mohan Kumar

S. Mohan Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Information Systems, having authored 57 papers that have together received 297 indexed citations. Recurring topics across this work include Digital Imaging for Blood Diseases (8 papers), AI in cancer detection (8 papers), Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers), Brain Tumor Detection and Classification (5 papers), Cutaneous Melanoma Detection and Management (4 papers), IoT and Edge/Fog Computing (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Equine (14 citations), Health Informatics (10 citations), Computer Networks and Communications (75 citations), Neurology (16 citations) and Computer Vision and Pattern Recognition (32 citations). S. Mohan Kumar has collaborated with scholars based in India, Bulgaria and Spain. Frequent co-authors include Leena Kumari, Somesh Gupta, Aparna Banerjee Dixit, Sanjeev Gupta, M. Patricia George, Vinod Sharma, T. Kumanan‬, M. Kavitha, K. S. Viswanathan and V. Ilango. Their work appears in journals such as Annals of The Royal College of Surgeons of England, Indian Journal of Science and Technology, Journal of the European Academy of Dermatology and Venereology, Reproduction and International Journal of Biometeorology.

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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