Raisoni Group of Institutions

2.3k papers receiving 19.0k citations

Peers

Raisoni Group of Institutions
Comparison fields: 5 of 220
  • Health Information Management 474
  • Automotive Engineering 1.2k
  • Control and Systems Engineering 2.3k
  • Computer Networks and Communications 2.2k
  • Computer Vision and Pattern Recognition 1.9k
Replace Rajiv Gandhi Technical University with:
Rajiv Gandhi Technical University India
Chaitanya Bharathi Institute of Technology India
Barkatullah University India
Siddhartha Medical College India
Vignan's Foundation for Science, Technology & Research India
Indian Institute of Information Technology Design and Manufacturing Jabalpur India
Jawaharlal Nehru Technological University, Kakinada India
VIT-AP University India
National Institute of Technical Teachers’ Training and Research India
Nagpur Institute of Technology India
Raisoni Group of Institutions relative to Rajiv Gandhi Technical University India Rajiv Gandhi Technical University's profile →
Citations per field
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Rajiv Gandhi Technical University · 1×
Citations per year

Countries citing scholars working at Raisoni Group of Institutions

Since Specialization
Citations

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

Fields of papers published by authors at Raisoni Group of Institutions

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Raisoni Group of Institutions 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 Raisoni Group of Institutions at the time of their publication.

About Raisoni Group of Institutions

In recent decades, authors affiliated with Raisoni Group of Institutions have published 3.0k papers, which have received a total of 20.2k indexed citations . Scholars at this organization have produced 445 papers in Computer Networks and Communications, 328 papers in Computer Vision and Pattern Recognition, 63 papers in Health Information Management, 160 papers in Signal Processing and 165 papers in Automotive Engineering on the topics of IoT-based Smart Home Systems (128 papers), IoT and Edge/Fog Computing (97 papers), Smart Agriculture and AI (92 papers), Mobile Ad Hoc Networks (86 papers), Power System Optimization and Stability (78 papers), Energy Efficient Wireless Sensor Networks (78 papers), Vehicular Ad Hoc Networks (VANETs) (73 papers) and Blockchain Technology Applications and Security (70 papers). Their work is cited by papers focused on Health Information Management (474 citations), Automotive Engineering (1.2k citations), Control and Systems Engineering (2.3k citations), Computer Networks and Communications (2.2k citations) and Computer Vision and Pattern Recognition (1.9k citations). Authors at Raisoni Group of Institutions collaborate with scholars in India, United States and Saudi Arabia and have published in prestigious journals including Scientific Reports, Multimedia Tools and Applications, Materials Today Proceedings, Computational Intelligence and Neuroscience and Indian Journal of Science and Technology. Some of Raisoni Group of Institutions's most productive authors include D. P. Kothari, Pramod Walke, Preeti Bajaj, V. M. Kriplani, Latesh Malik, V. K. Chandrakar, Santosh Jaju, Urmila Shrawankar, Rahul Agrawal and Yogesh Kisan Mali.

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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