R.M.D. Engineering College

8.5k citations
1.3k papers ·

Impact in

Papers in

R.M.D. Engineering College

1k papers receiving 8.5k citations

Peers

R.M.D. Engineering College
Comparison fields: 5 of 183
  • Information Systems 1.1k
  • Computer Networks and Communications 946
  • Health Information Management 327
  • Health Informatics 76
  • Computer Vision and Pattern Recognition 718
Replace M. Kumarasamy College of Engineering with:
M. Kumarasamy College of Engineering
Velammal Educational Trust India
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R.M.D. Engineering College relative to M. Kumarasamy College of Engineering M. Kumarasamy College of Engineering's profile →
Citations per field
00.5×1.5×1.8×
M. Kumarasamy College of Engineering · 1×
Citations per year

Countries citing scholars working at R.M.D. Engineering College

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at R.M.D. Engineering College. 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 papers produced at R.M.D. Engineering College with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.M.D. Engineering College more than expected).

Fields of papers published by authors at R.M.D. Engineering College

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with R.M.D. Engineering College at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with R.M.D. Engineering College at the time of their publication.

About R.M.D. Engineering College

In recent decades, authors affiliated with R.M.D. Engineering College have published 1.3k papers, which have received a total of 8.5k indexed citations . Scholars at this organization have produced 73 papers in Health Information Management, 166 papers in Computer Networks and Communications, 176 papers in Information Systems, 157 papers in Computer Vision and Pattern Recognition and 156 papers in Artificial Intelligence on the topics of Artificial Intelligence in Healthcare (73 papers), Smart Agriculture and AI (60 papers), Nonlinear Optical Materials Research (38 papers), Network Security and Intrusion Detection (37 papers), Cloud Data Security Solutions (34 papers), Arduino and IoT Applications (33 papers), Energy Efficient Wireless Sensor Networks (32 papers) and Internet of Things and AI (31 papers). Their work is cited by papers focused on Information Systems (1.1k citations), Computer Networks and Communications (946 citations), Health Information Management (327 citations), Health Informatics (76 citations) and Computer Vision and Pattern Recognition (718 citations). Authors at R.M.D. Engineering College collaborate with scholars in India, Ethiopia and Saudi Arabia and have published in prestigious journals including Wireless Personal Communications, Journal of Materials Science Materials in Electronics, Biomedical Signal Processing and Control, Multimedia Tools and Applications and Journal of Intelligent & Fuzzy Systems. Some of R.M.D. Engineering College's most productive authors include P. M. Joe Prathap, K. K. Thyagharajan, D. Paulraj, Ganesh Srinivasan, Subramani Neelakandan, Jeyaraman Prasanna Naveen Kumar, D. Dhinakaran, Varun G. Menon, S. Murugan and Ramasamy Thangavelu Rajendrakumar.

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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