Karunya University

6.2k papers receiving 89.4k citations

Peers

Karunya University
Comparison fields: 5 of 239
  • Renewable Energy, Sustainability and the Environment 6.2k
  • Mechanical Engineering 13.1k
  • Electrical and Electronic Engineering 18.6k
  • Biomedical Engineering 13.5k
  • Materials Chemistry 13.8k
Replace Kalasalingam Academy of Research and Education with:
Kalasalingam Academy of Research and Education India
Karpagam Academy of Higher Education India
PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH India
KPR Institute of Engineering and Technology India
SASTRA University India
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology India
National Institute of Technology Calicut India
Cochin University of Science and Technology India
M S Ramaiah University of Applied Sciences India
Jain University India
Karunya University relative to Kalasalingam Academy of Research and Education India Kalasalingam Academy of Research and Education's profile →
Citations per field
00.5×1.5×
Kalasalingam Academy of Research and Education · 1×
Citations per year

Countries citing scholars working at Karunya University

Since Specialization
Citations

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

Fields of papers published by authors at Karunya University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Karunya University 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 Karunya University at the time of their publication.

About Karunya University

In recent decades, authors affiliated with Karunya University have published 7.3k papers, which have received a total of 92.9k indexed citations . Scholars at this organization have produced 723 papers in Computer Vision and Pattern Recognition, 309 papers in Signal Processing, 1.5k papers in Electrical and Electronic Engineering, 609 papers in Computer Networks and Communications and 94 papers in Health Information Management on the topics of Aluminum Alloys Composites Properties (194 papers), IoT and Edge/Fog Computing (192 papers), Molecular Sensors and Ion Detection (153 papers), Antenna Design and Analysis (148 papers), EEG and Brain-Computer Interfaces (147 papers), AI in cancer detection (128 papers), Smart Agriculture and AI (126 papers) and Advanced machining processes and optimization (121 papers). Their work is cited by papers focused on Renewable Energy, Sustainability and the Environment (6.2k citations), Mechanical Engineering (13.1k citations), Electrical and Electronic Engineering (18.6k citations), Biomedical Engineering (13.5k citations) and Materials Chemistry (13.8k citations). Authors at Karunya University collaborate with scholars in India, United States and Saudi Arabia and have published in prestigious journals including Journal of Materials Science Materials in Electronics, Wireless Personal Communications, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Computers & Electrical Engineering and Scientific Reports. Some of Karunya University's most productive authors include D. Jude Hemanth, A. Immanuel Selvakumar, Sneha Gautam, I. Dinaharan, D. Nirmal, J. Anitha, Lazarus Godson Asirvatham, T. Aruldoss Albert Victoire, Raju Nandhakumar and N. Murugan.

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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