D. Dhinakaran
Impact in
-
- Artificial Intelligence in Healthcare
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
-
- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 7
-
- Blockchain Technology Applications and Security 6
- Cloud Data Security Solutions 5
- Co-authors
- P. M. Joe Prathap (4 shared papers)S. M. Udhaya Sankar (14 shared papers)D. Selvaraj (14 shared papers)N. Jagadish Kumar (8 shared papers)L. Srinivasan (2 shared papers)K. Sudharson (3 shared papers)Kaliappa Ravindran (1 shared paper)Sathish Gopalakrishnan (2 shared papers)
In The Last Decade
D. Dhinakaran
46 papers receiving 491 citations
Peers
Comparison fields: 5 of 78
- Health Information Management 74
- Information Systems 182
- Computer Networks and Communications 153
- Artificial Intelligence 181
- Human-Computer Interaction 26
Countries citing papers authored by D. Dhinakaran
This map shows the geographic impact of D. Dhinakaran'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 D. Dhinakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Dhinakaran more than expected).
Fields of papers citing papers by D. Dhinakaran
This network shows the impact of papers produced by D. Dhinakaran. 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 D. Dhinakaran. The network helps show where D. Dhinakaran may publish in the future.
Co-authors
The 17 scholars most cited alongside D. Dhinakaran, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 50 | |
| 2 | 2022 | 34 | |
| 3 | 2020 | 32 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 29 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 26 | |
| 10 | 2024 | 23 | |
| 11 | 2022 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2023 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2025 | 12 |
About D. Dhinakaran
D. Dhinakaran is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Health Information Management and Electrical and Electronic Engineering, having authored 53 papers that have together received 614 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (7 papers), IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (6 papers), Water Quality Monitoring Technologies (6 papers), Artificial Intelligence in Healthcare (6 papers), IoT-based Smart Home Systems (5 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Health Information Management (74 citations), Information Systems (182 citations), Computer Networks and Communications (153 citations), Artificial Intelligence (181 citations) and Human-Computer Interaction (26 citations). D. Dhinakaran has collaborated with scholars based in India, Canada and Nepal. Frequent co-authors include P. M. Joe Prathap, S. M. Udhaya Sankar, D. Selvaraj, N. Jagadish Kumar, L. Srinivasan, K. Sudharson, Kaliappa Ravindran, Sathish Gopalakrishnan, N. Deepa and N. Nagendra Gandhi. Their work appears in journals such as MethodsX, Results in Engineering, Biomedical Signal Processing and Control, China Communications and Quantum Information and Computation.
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.