Indian Institute of Information Technology, Nagpur
Impact in
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- Advanced Neural Network Applications
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- Brain Tumor Detection and Classification
Papers in
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- Anomaly Detection Techniques and Applications 18
- AI in cancer detection 17
- Top scholars
- Jitendra V. TembhurneTausif DiwanK. H. RaoAnkit A. BhuraneU. VenkannaO. G. KakdeManish SharmaU. Rajendra Acharya
- Journals
- Multimedia Tools and Applications (29 papers)IEEE Access (5 papers)Wireless Personal Communications (4 papers)Journal of Magnetism and Magnetic Materials (4 papers)Internet of Things (4 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Indian Institute of Information Technology, Nagpur
439 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 1.2k
- Neurology 389
- Artificial Intelligence 1.1k
- Signal Processing 374
- Health Informatics 43
Countries citing scholars working at Indian Institute of Information Technology, Nagpur
This map shows the geographic impact of research produced by authors working at Indian Institute of Information Technology, Nagpur. 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 Indian Institute of Information Technology, Nagpur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indian Institute of Information Technology, Nagpur more than expected).
Fields of papers published by authors at Indian Institute of Information Technology, Nagpur
This network shows the impact of papers affiliated with Indian Institute of Information Technology, Nagpur 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 Indian Institute of Information Technology, Nagpur at the time of their publication.
About Indian Institute of Information Technology, Nagpur
In recent decades, authors affiliated with Indian Institute of Information Technology, Nagpur have published 548 papers, which have received a total of 5.8k indexed citations . Scholars at this organization have produced 76 papers in Computer Vision and Pattern Recognition, 114 papers in Artificial Intelligence, 35 papers in Signal Processing, 15 papers in Health Information Management and 6 papers in Business and International Management on the topics of Antenna Design and Analysis (35 papers), Advanced Antenna and Metasurface Technologies (27 papers), IoT and Edge/Fog Computing (25 papers), Smart Agriculture and AI (24 papers), Energy Harvesting in Wireless Networks (23 papers), Anomaly Detection Techniques and Applications (18 papers), COVID-19 diagnosis using AI (18 papers) and AI in cancer detection (17 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (1.2k citations), Neurology (389 citations), Artificial Intelligence (1.1k citations), Signal Processing (374 citations) and Health Informatics (43 citations). Authors at Indian Institute of Information Technology, Nagpur collaborate with scholars in India, United States and China and have published in prestigious journals including Multimedia Tools and Applications, IEEE Access, Wireless Personal Communications, Journal of Magnetism and Magnetic Materials and Internet of Things. Some of Indian Institute of Information Technology, Nagpur's most productive authors include Jitendra V. Tembhurne, Tausif Diwan, K. H. Rao, Ankit A. Bhurane, U. Venkanna, O. G. Kakde, Manish Sharma, U. Rajendra Acharya, Ch. Sujatha and Ashish Tiwari.
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.