J. Deny
Impact in
- Health Information Management top 10%
Papers in
-
- Muscle activation and electromyography studies 4
- Advanced Sensor and Energy Harvesting Materials 3
- Co-authors
- B. Perumal (11 shared papers)P. Nagaraj (6 shared papers)Kezhong Zhang (1 shared paper)S. Ramkumar (1 shared paper)Ahmed Faeq Hussein (1 shared paper)G. Emayavaramban (1 shared paper)M. Siva Ramkumar (1 shared paper)V. Muneeswaran (3 shared papers)
- Journals
- Indian Journal of Science and Technology (2 papers)IEEE Access (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)Tehnicki vjesnik - Technical Gazette (1 paper)Foresight-Russia (1 paper)
- Partner nations
- IndiaCubaUnited States
In The Last Decade
J. Deny
41 papers receiving 251 citations
Peers
Comparison fields: 5 of 68
- Health Information Management 15
- Signal Processing 23
- Computer Vision and Pattern Recognition 42
- Human-Computer Interaction 11
- Cognitive Neuroscience 36
Countries citing papers authored by J. Deny
This map shows the geographic impact of J. Deny'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 J. Deny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Deny more than expected).
Fields of papers citing papers by J. Deny
This network shows the impact of papers produced by J. Deny. 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 J. Deny. The network helps show where J. Deny may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Deny, 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 | 2019 | 55 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 18 | |
| 4 | 2022 | 12 | |
| 5 | 2024 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2012 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2021 | 4 |
About J. Deny
J. Deny is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 47 papers that have together received 263 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Muscle activation and electromyography studies (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), User Authentication and Security Systems (3 papers), Advanced Authentication Protocols Security (2 papers), Neuroscience and Neural Engineering (2 papers), Biometric Identification and Security (2 papers) and Ergonomics and Musculoskeletal Disorders (2 papers). The work is most often cited by research in Health Information Management (15 citations), Signal Processing (23 citations), Computer Vision and Pattern Recognition (42 citations), Human-Computer Interaction (11 citations) and Cognitive Neuroscience (36 citations). J. Deny has collaborated with scholars based in India, Cuba and United States. Frequent co-authors include B. Perumal, P. Nagaraj, Kezhong Zhang, S. Ramkumar, Ahmed Faeq Hussein, G. Emayavaramban, M. Siva Ramkumar, V. Muneeswaran, M Sakthimohan and Geeta Rani. Their work appears in journals such as Indian Journal of Science and Technology, IEEE Access, Journal of Intelligent & Fuzzy Systems, Tehnicki vjesnik - Technical Gazette and Foresight-Russia.
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.