Prashant Narayankar
Impact in
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- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
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- Artificial Intelligence in Healthcare
Papers in
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- Cloud Computing and Resource Management 1
- Co-authors
- Priyadarshini Patil (3 shared papers)D. G. Narayan (1 shared paper)Meena S.M. (1 shared paper)Meenaxi M Raikar (2 shared papers)M. Vijayalakshmi (2 shared papers)Padmashree Desai (2 shared papers)Vishwanath P. Baligar (2 shared papers)Satyadhyan Chickerur (1 shared paper)
- Journals
- Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation (1 paper)Advances in intelligent systems and computing (1 paper)Lecture notes in networks and systems (1 paper)Procedia Computer Science (1 paper)IGI Global eBooks (1 paper)
- Partner nations
- India
In The Last Decade
Prashant Narayankar
10 papers receiving 340 citations
Prashant Narayankar's Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 172
- Health Information Management 32
- Artificial Intelligence 183
- Signal Processing 45
- Information Systems 90
Countries citing papers authored by Prashant Narayankar
This map shows the geographic impact of Prashant Narayankar'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 Prashant Narayankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Narayankar more than expected).
Fields of papers citing papers by Prashant Narayankar
This network shows the impact of papers produced by Prashant Narayankar. 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 Prashant Narayankar. The network helps show where Prashant Narayankar may publish in the future.
Co-authors
The 8 scholars most cited alongside Prashant Narayankar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Comprehensive Evaluation of Cryptographic Algorithms: DES, 3DES, AES, RSA and Blowfish Hit paper breakdown → | 2016 | 267 |
| 2 | 2018 | 47 | |
| 3 | 2018 | 22 | |
| 4 | 2016 | 16 | |
| 5 | 2018 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2017 | 1 | |
| 8 | 2016 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 |
About Prashant Narayankar
Prashant Narayankar is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 372 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Imbalanced Data Classification Techniques (1 paper), Artificial Intelligence in Healthcare (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Cloud Computing and Resource Management (1 paper), Retinal Imaging and Analysis (1 paper), Brain Tumor Detection and Classification (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (172 citations), Health Information Management (32 citations), Artificial Intelligence (183 citations), Signal Processing (45 citations) and Information Systems (90 citations). Prashant Narayankar has collaborated with scholars based in India. Frequent co-authors include Priyadarshini Patil, D. G. Narayan, Meena S.M., Meenaxi M Raikar, M. Vijayalakshmi, Padmashree Desai, Vishwanath P. Baligar and Satyadhyan Chickerur. Their work appears in journals such as Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation, Advances in intelligent systems and computing, Lecture notes in networks and systems, Procedia Computer Science and IGI Global eBooks.
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.