Shaibal Barua
Impact in
- Health Informatics top 5%
-
- Sleep and Work-Related Fatigue
Papers in
-
- Explainable Artificial Intelligence (XAI) 6
- Neural Networks and Applications 4
-
- EEG and Brain-Computer Interfaces 10
- Co-authors
- Shahina Begum (25 shared papers)Mobyen Uddin Ahmed (21 shared papers)Mir Riyanul Islam (6 shared papers)Christer Ahlström (3 shared papers)Hamidur Rahman (4 shared papers)Mobyen Uddin Ahmed (7 shared papers)Gianluca Di Flumeri (5 shared papers)Peter Funk (2 shared papers)
In The Last Decade
Shaibal Barua
32 papers receiving 672 citations
Peers
Comparison fields: 5 of 109
- Health Informatics 32
- Experimental and Cognitive Psychology 158
- Cognitive Neuroscience 156
- Human-Computer Interaction 42
- Social Psychology 147
Countries citing papers authored by Shaibal Barua
This map shows the geographic impact of Shaibal Barua'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 Shaibal Barua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaibal Barua more than expected).
Fields of papers citing papers by Shaibal Barua
This network shows the impact of papers produced by Shaibal Barua. 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 Shaibal Barua. The network helps show where Shaibal Barua may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaibal Barua, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 188 | |
| 2 | 2018 | 111 | |
| 3 | 2022 | 70 | |
| 4 | 2014 | 35 | |
| 5 | 2019 | 34 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2013 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2019 | 19 | |
| 12 | 2014 | 17 | |
| 13 | 2017 | 14 | |
| 14 | 2015 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2022 | 7 | |
| 17 | Vehicle driver monitoring : sleepiness and cognitive load | 2017 | 6 |
| 18 | 2013 | 5 | |
| 19 | Multi-Scale Entropy Analysis and Case-Based Reasoning to Classify Physiological Sensor Signals | 2012 | 5 |
| 20 | 2017 | 5 |
About Shaibal Barua
Shaibal Barua is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology, Cardiology and Cardiovascular Medicine and Control and Systems Engineering, having authored 36 papers that have together received 692 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Sleep and Work-Related Fatigue (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Fault Detection and Control Systems (6 papers), Explainable Artificial Intelligence (XAI) (6 papers), Human-Automation Interaction and Safety (5 papers), Neural Networks and Applications (4 papers) and Air Traffic Management and Optimization (3 papers). The work is most often cited by research in Health Informatics (32 citations), Experimental and Cognitive Psychology (158 citations), Cognitive Neuroscience (156 citations), Human-Computer Interaction (42 citations) and Social Psychology (147 citations). Shaibal Barua has collaborated with scholars based in Sweden, Italy and France. Frequent co-authors include Shahina Begum, Mobyen Uddin Ahmed, Mir Riyanul Islam, Christer Ahlström, Hamidur Rahman, Mobyen Uddin Ahmed, Gianluca Di Flumeri, Peter Funk, Gianluca Borghini and Pietro Aricò. Their work appears in journals such as Expert Systems with Applications, Applied Sciences, Sensors, Brain Informatics and IEEE Journal of Biomedical and Health Informatics.
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.