D. Loganathan
Impact in
-
- Artificial Intelligence in Healthcare
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
Papers in
-
- EEG and Brain-Computer Interfaces 10
- Sleep and Wakefulness Research 6
-
- Sleep and Work-Related Fatigue 7
- Co-authors
- Santosh Kumar Satapathy (11 shared papers)P. Aruna (4 shared papers)Akash Kumar Bhoi (2 shared papers)Hari Kishan Kondaveeti (1 shared paper)Bidita Khandelwal (1 shared paper)Paolo Barsocchi (1 shared paper)E. S. Gopi (1 shared paper)J. Amudha (1 shared paper)
In The Last Decade
D. Loganathan
25 papers receiving 205 citations
Peers
Comparison fields: 5 of 53
- Health Information Management 24
- Cognitive Neuroscience 102
- Experimental and Cognitive Psychology 62
- Signal Processing 20
- Computer Vision and Pattern Recognition 36
Countries citing papers authored by D. Loganathan
This map shows the geographic impact of D. Loganathan'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. Loganathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Loganathan more than expected).
Fields of papers citing papers by D. Loganathan
This network shows the impact of papers produced by D. Loganathan. 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. Loganathan. The network helps show where D. Loganathan may publish in the future.
Co-authors
The 11 scholars most cited alongside D. Loganathan, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 41 | |
| 2 | 2021 | 32 | |
| 3 | 2014 | 24 | |
| 4 | 2022 | 19 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2011 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 8 | |
| 11 | 2020 | 7 | |
| 12 | Residual Neural Network (ResNet) Based Plant Leaf Disease Detection and Classification | 2021 | 5 |
| 13 | 2021 | 5 | |
| 14 | 2004 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2024 | 2 |
About D. Loganathan
D. Loganathan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 223 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Sleep and Work-Related Fatigue (7 papers), Sleep and Wakefulness Research (6 papers), Artificial Intelligence in Healthcare (3 papers), Advanced Data Compression Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), Retinal Imaging and Analysis (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Health Information Management (24 citations), Cognitive Neuroscience (102 citations), Experimental and Cognitive Psychology (62 citations), Signal Processing (20 citations) and Computer Vision and Pattern Recognition (36 citations). D. Loganathan has collaborated with scholars based in India and Italy. Frequent co-authors include Santosh Kumar Satapathy, P. Aruna, Akash Kumar Bhoi, Hari Kishan Kondaveeti, Bidita Khandelwal, Paolo Barsocchi, E. S. Gopi, J. Amudha, G. Nagarajan and N. Rajkumar. Their work appears in journals such as CAAI Transactions on Intelligence Technology, Multimedia Tools and Applications, Soft Computing, International Journal of Nanotechnology and Biomedical Signal Processing and Control.
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.