Vinoth Kumar Venkatesan

425 citations
9 papers · 238 indexed · 1 hit paper · h-index 6
Topics
Brain Tumor Detection and Classification (4 papers)Artificial Intelligence in Healthcare (2 papers)AI in cancer detection (2 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsApplied Sciences
Partner nations
IndiaEthiopiaUkraine

In The Last Decade

Vinoth Kumar Venkatesan

7 papers receiving 232 citations

Hit Papers

Transformative Breast Cancer Diagnosis using CNNs with Op...20242026202520241020304050

Peers

Vinoth Kumar Venkatesan
Comparison fields: 5 of 84
  • Artificial Intelligence 90
  • Information Systems 37
  • Health Information Management 35
  • Computer Networks and Communications 32
  • Radiology, Nuclear Medicine and Imaging 32
Replace S. Revathy with:
S. Revathy India
Prasanalakshmi Balaji Saudi Arabia
Pınar Kirci Türkiye
Shakil Ahmed Bangladesh
Stephen Jeswinde Nuagah Ghana
Abhilash Pati India
A.K.M. Muzahidul Islam Bangladesh
Sathiyabhama Balasubramaniam India
C. Balasubramanian India
Abdoh Jabbari Saudi Arabia
Vinoth Kumar Venkatesan relative to S. Revathy India S. Revathy's profile →
Citations per field
00.5×1.5×1.9×
S. Revathy · 1×
Citations per year

Countries citing papers authored by Vinoth Kumar Venkatesan

Since Specialization
Citations

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

Fields of papers citing papers by Vinoth Kumar Venkatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinoth Kumar Venkatesan

This figure shows the co-authorship network connecting the top 25 collaborators of Vinoth Kumar Venkatesan. A scholar is included among the top collaborators of Vinoth Kumar Venkatesan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vinoth Kumar Venkatesan. Vinoth Kumar Venkatesan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 10
2 1
3 3
4
Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancementsbreakdown →
54
5 33
6 45
7 41
8 0
9 51

About Vinoth Kumar Venkatesan

Vinoth Kumar Venkatesan is a scholar working on Neurology, Health Information Management and Media Technology, having authored 9 papers that have together received 238 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Artificial Intelligence in Healthcare (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Information Management (35 citations), Health Informatics (4 citations) and Artificial Intelligence (90 citations). Vinoth Kumar Venkatesan has collaborated with scholars based in India, Ethiopia and Ukraine. Frequent co-authors include Mahesh Thyluru Ramakrishna, Ivan Izonin, C. Rohith Bhat, T R Mahesh, Suresh Guluwadi, Francesco Flammini, H L Gururaj, Roman Tkachenko, Shashi Kant Gupta and Muskan Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied 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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