K. V. Prema
Impact in
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- Computational Drug Discovery Methods
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- Artificial Intelligence in Healthcare
Papers in
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- Advanced Authentication Protocols Security 5
- Mobile Ad Hoc Networks 5
- Opportunistic and Delay-Tolerant Networks 5
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- Cryptography and Data Security 4
- Co-authors
- S. Balaji (5 shared papers)Mamatha Balachandra (6 shared papers)Krishnamoorthi Makkithaya (1 shared paper)N. V. Subba Reddy (7 shared papers)Siddhaling Urolagin (4 shared papers)Balachandra Muniyal (3 shared papers)Preksha Pareek (1 shared paper)Sushma Chauhan (1 shared paper)
- Journals
- IEEE Access (4 papers)Engineered Science (2 papers)Scientific Reports (1 paper)Wireless Networks (1 paper)Sadhana (1 paper)
- Partner nations
- IndiaUnited StatesUzbekistan
In The Last Decade
K. V. Prema
48 papers receiving 506 citations
Peers
Comparison fields: 5 of 101
- Computational Theory and Mathematics 136
- Health Information Management 31
- Computer Networks and Communications 127
- Health Informatics 5
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by K. V. Prema
This map shows the geographic impact of K. V. Prema'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 K. V. Prema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. V. Prema more than expected).
Fields of papers citing papers by K. V. Prema
This network shows the impact of papers produced by K. V. Prema. 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 K. V. Prema. The network helps show where K. V. Prema may publish in the future.
Co-authors
The 13 scholars most cited alongside K. V. Prema, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 144 | |
| 2 | 2014 | 65 | |
| 3 | 2020 | 34 | |
| 4 | 2022 | 30 | |
| 5 | 2024 | 25 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2022 | 16 | |
| 9 | 2007 | 15 | |
| 10 | 2018 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2019 | 10 | |
| 13 | 2002 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2019 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2020 | 6 |
About K. V. Prema
K. V. Prema is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Computational Theory and Mathematics, having authored 57 papers that have together received 543 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Computational Drug Discovery Methods (6 papers), Advanced Authentication Protocols Security (5 papers), Mobile Ad Hoc Networks (5 papers), Opportunistic and Delay-Tolerant Networks (5 papers), User Authentication and Security Systems (5 papers), Cryptography and Data Security (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Computational Theory and Mathematics (136 citations), Health Information Management (31 citations), Computer Networks and Communications (127 citations), Health Informatics (5 citations) and Computer Vision and Pattern Recognition (74 citations). K. V. Prema has collaborated with scholars based in India, United States and Uzbekistan. Frequent co-authors include S. Balaji, Mamatha Balachandra, Krishnamoorthi Makkithaya, N. V. Subba Reddy, Siddhaling Urolagin, Balachandra Muniyal, Preksha Pareek, Sushma Chauhan, Neha Agarwal and Ajmeera Kiran. Their work appears in journals such as IEEE Access, Engineered Science, Scientific Reports, Wireless Networks and Sadhana.
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.