G. Ramkumar

5.3k citations
200 papers · 2.4k indexed · 1 hit paper · h-index 29

G. Ramkumar

172 papers receiving 2.3k citations

Hit Papers

IoT-based patient monitoring system for predicting heart ...822023202620242025255075

Peers

G. Ramkumar
Comparison fields: 5 of 135
  • Health Information Management 104
  • Computer Networks and Communications 409
  • Computer Vision and Pattern Recognition 343
  • Energy Engineering and Power Technology 42
  • Artificial Intelligence 407
Replace Sultan S. Alshamrani with:
Sultan S. Alshamrani Saudi Arabia
Anurag Shrivastava India
Haider TH. Salim ALRikabi Iraq
Musaed Alhussein Saudi Arabia
Muhammad Faheem Pakistan
Raed Abu Zitar Jordan
S. Neelakandan India
Shabir Ahmad South Korea
Ali Nauman South Korea
Yazeed Yasin Ghadi United Arab Emirates
G. Ramkumar relative to Sultan S. Alshamrani Saudi Arabia Sultan S. Alshamrani's profile →
Citations per field
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Sultan S. Alshamrani · 1×
Citations per year

Countries citing papers authored by G. Ramkumar

Since Specialization
Citations

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

Fields of papers citing papers by G. Ramkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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9 20231
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17
An Effectual Plant Leaf Disease Detection using Deep Learning Network with IoT Strategies
202117
18
Face Recognition based on Spatio Angular Using Visual Geometric Group-19 Convolutional Neural Network
20216
19
SUPRA SEMI NORMAL SPACES AND SOME SUPRA MAPS
20181
20 20121

About G. Ramkumar

G. Ramkumar is a scholar working on Health Information Management, Computer Vision and Pattern Recognition, Neurology, Media Technology and Periodontics, having authored 200 papers that have together received 2.4k indexed citations. Recurring topics across this work include IoT and GPS-based Vehicle Safety Systems (17 papers), Artificial Intelligence in Healthcare (12 papers), COVID-19 diagnosis using AI (12 papers), Brain Tumor Detection and Classification (11 papers), Digital Imaging for Blood Diseases (10 papers), Face recognition and analysis (10 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Battery Technologies Research (9 papers). The work is most often cited by research in Health Information Management (104 citations), Computer Networks and Communications (409 citations), Computer Vision and Pattern Recognition (343 citations), Energy Engineering and Power Technology (42 citations) and Artificial Intelligence (407 citations). G. Ramkumar has collaborated with scholars based in India, Saudi Arabia and Egypt. Frequent co-authors include G Anitha, M. Tamilselvi, P. Nirmala, S. Ramesh, R. Thandaiah Prabu, E. Logashanmugam, G. Sajiv, M. Ayyadurai, Satyajeet Sahoo and C. Senthilkumar. Their work appears in journals such as Contrast Media & Molecular Imaging, Plasmonics, International Journal of Hydrogen Energy, Optical and Quantum Electronics and Energy Reports.

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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