D. Loganathan
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
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- Sleep and Work-Related Fatigue
Papers in
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- EEG and Brain-Computer Interfaces 22
- Sleep and Wakefulness Research 15
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- Sleep and Work-Related Fatigue 12
- Co-authors
- Santosh Kumar Satapathy (24 shared papers)P. Aruna (4 shared papers)Paolo Barsocchi (1 shared paper)Akash Kumar Bhoi (2 shared papers)Hari Kishan Kondaveeti (2 shared papers)Bidita Khandelwal (1 shared paper)E. S. Gopi (1 shared paper)Amudha Joseph (1 shared paper)
In The Last Decade
D. Loganathan
35 papers receiving 260 citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 137
- Experimental and Cognitive Psychology 84
- Health Information Management 25
- Human-Computer Interaction 20
- Signal Processing 28
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 14 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 49 | |
| 2 | 2021 | 37 | |
| 3 | 2014 | 28 | |
| 4 | 2021 | 22 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 8 | |
| 12 | 2004 | 6 | |
| 13 | 2021 | 6 | |
| 14 | Residual Neural Network (ResNet) Based Plant Leaf Disease Detection and Classification | 2021 | 5 |
| 15 | 2022 | 4 | |
| 16 | 2013 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2013 | 2 |
About D. Loganathan
D. Loganathan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 46 papers that have together received 276 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (22 papers), Sleep and Wakefulness Research (15 papers), Sleep and Work-Related Fatigue (12 papers), Advanced Data Compression Techniques (5 papers), Non-Invasive Vital Sign Monitoring (5 papers), Image Retrieval and Classification Techniques (3 papers), Artificial Intelligence in Healthcare (3 papers) and Gaze Tracking and Assistive Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (137 citations), Experimental and Cognitive Psychology (84 citations), Health Information Management (25 citations), Human-Computer Interaction (20 citations) and Signal Processing (28 citations). D. Loganathan has collaborated with scholars based in India and Italy. Frequent co-authors include Santosh Kumar Satapathy, P. Aruna, Paolo Barsocchi, Akash Kumar Bhoi, Hari Kishan Kondaveeti, Bidita Khandelwal, E. S. Gopi, Amudha Joseph, N. Rajkumar and Ganapathi Subramanian Nagarajan. Their work appears in journals such as Egyptian Informatics Journal, Biomedical Signal Processing and Control, Multimedia Tools and Applications, CAAI Transactions on Intelligence Technology and Soft Computing.
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.