P. Dayananda
Impact in
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- AI in cancer detection 4
- Sentiment Analysis and Opinion Mining 3
- Advanced Text Analysis Techniques 3
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- IoT and Edge/Fog Computing 3
- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- M. Niranjanamurthy (7 shared papers)Mahesh S. Raisinghani (3 shared papers)Shubham Maurya (1 shared paper)Abhishek Thakur (1 shared paper)S. Jagannatha (2 shared papers)S Rohith (6 shared papers)S Supreeth (6 shared papers)Mrityunjaya V. Latte (3 shared papers)
- Journals
- IEEE Access (5 papers)Scientific Reports (1 paper)Journal of King Saud University - Computer and Information Sciences (1 paper)Sustainability (1 paper)Heliyon (1 paper)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
P. Dayananda
41 papers receiving 273 citations
Peers
Comparison fields: 5 of 86
- Human-Computer Interaction 34
- Computer Vision and Pattern Recognition 60
- Health Information Management 11
- Neurology 19
- Artificial Intelligence 72
Countries citing papers authored by P. Dayananda
This map shows the geographic impact of P. Dayananda'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 P. Dayananda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Dayananda more than expected).
Fields of papers citing papers by P. Dayananda
This network shows the impact of papers produced by P. Dayananda. 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 P. Dayananda. The network helps show where P. Dayananda may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Dayananda, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sign Language to Text and Speech Translation in Real Time Using Convolutional Neural Network | 2020 | 31 |
| 2 | 2021 | 27 | |
| 3 | 2024 | 23 | |
| 4 | 2021 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 5 |
About P. Dayananda
P. Dayananda is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 47 papers that have together received 297 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Brain Tumor Detection and Classification (4 papers), IoT and Edge/Fog Computing (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Gene expression and cancer classification (3 papers), Sentiment Analysis and Opinion Mining (3 papers), Advanced Text Analysis Techniques (3 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Human-Computer Interaction (34 citations), Computer Vision and Pattern Recognition (60 citations), Health Information Management (11 citations), Neurology (19 citations) and Artificial Intelligence (72 citations). P. Dayananda has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include M. Niranjanamurthy, Mahesh S. Raisinghani, Shubham Maurya, Abhishek Thakur, S. Jagannatha, S Rohith, S Supreeth, Mrityunjaya V. Latte, Sujay Raghavendra Naganna and Sameh Askar. Their work appears in journals such as IEEE Access, Scientific Reports, Journal of King Saud University - Computer and Information Sciences, Sustainability and Heliyon.
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.