Veeky Baths
Impact in
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- Artificial Intelligence in Healthcare
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- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- EEG and Brain-Computer Interfaces 9
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- Imbalanced Data Classification Techniques 2
- Co-authors
- Nikhil Garg (4 shared papers)Advait Balaji (1 shared paper)Utpal Roy (2 shared papers)Kratarth Goel (1 shared paper)Rajiv Ratn Shah (1 shared paper)Changyou Chen (1 shared paper)Balaji Krishnamurthy (1 shared paper)Soumyadip Bandyopadhyay (1 shared paper)
- Journals
- IEEE Access (2 papers)Scientific Reports (1 paper)Frontiers in Aging Neuroscience (1 paper)Big Data and Cognitive Computing (1 paper)Brain and Behavior (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Veeky Baths
23 papers receiving 247 citations
Peers
Comparison fields: 5 of 79
- Health Information Management 55
- Cognitive Neuroscience 89
- Health Informatics 4
- Human-Computer Interaction 16
- Signal Processing 29
Countries citing papers authored by Veeky Baths
This map shows the geographic impact of Veeky Baths'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 Veeky Baths with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veeky Baths more than expected).
Fields of papers citing papers by Veeky Baths
This network shows the impact of papers produced by Veeky Baths. 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 Veeky Baths. The network helps show where Veeky Baths may publish in the future.
Co-authors
The 10 scholars most cited alongside Veeky Baths, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 60 | |
| 2 | 2021 | 55 | |
| 3 | 2023 | 28 | |
| 4 | 2017 | 25 | |
| 5 | 2024 | 17 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2011 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 2 | |
| 18 | Recognizing Music Mood and Theme Using Convolutional Neural Networks and Attention. | 2020 | 2 |
| 19 | 2011 | 2 | |
| 20 | 2014 | 2 |
About Veeky Baths
Veeky Baths is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Human-Computer Interaction, Cellular and Molecular Neuroscience and Signal Processing, having authored 27 papers that have together received 267 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (4 papers), Gaze Tracking and Assistive Technology (3 papers), Tuberculosis Research and Epidemiology (3 papers), Artificial Intelligence in Healthcare (3 papers), Imbalanced Data Classification Techniques (2 papers), Emotion and Mood Recognition (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Health Information Management (55 citations), Cognitive Neuroscience (89 citations), Health Informatics (4 citations), Human-Computer Interaction (16 citations) and Signal Processing (29 citations). Veeky Baths has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Nikhil Garg, Advait Balaji, Utpal Roy, Kratarth Goel, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy, Soumyadip Bandyopadhyay, Yaman Kumar and Hema Nawani. Their work appears in journals such as IEEE Access, Scientific Reports, Frontiers in Aging Neuroscience, Big Data and Cognitive Computing and Brain and Behavior.
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.