Shaibal Barua

1.1k total citations
33 papers, 652 citations indexed

About

Shaibal Barua is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Shaibal Barua has authored 33 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Shaibal Barua's work include EEG and Brain-Computer Interfaces (10 papers), Sleep and Work-Related Fatigue (8 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Shaibal Barua is often cited by papers focused on EEG and Brain-Computer Interfaces (10 papers), Sleep and Work-Related Fatigue (8 papers) and Explainable Artificial Intelligence (XAI) (6 papers). Shaibal Barua collaborates with scholars based in Sweden, Italy and France. Shaibal Barua's co-authors include Shahina Begum, Mobyen Uddin Ahmed, Mir Riyanul Islam, Christer Ahlström, Hamidur Rahman, Mobyen Uddin Ahmed, Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri and Peter Funk and has published in prestigious journals such as Expert Systems with Applications, Sensors and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Shaibal Barua

30 papers receiving 625 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaibal Barua Sweden 14 180 162 157 153 86 33 652
Mobyen Uddin Ahmed Sweden 17 360 2.0× 183 1.1× 158 1.0× 158 1.0× 174 2.0× 64 1.1k
Patrícia Bota Portugal 8 120 0.7× 214 1.3× 187 1.2× 70 0.5× 104 1.2× 18 658
Michael Barlow Australia 16 230 1.3× 53 0.3× 149 0.9× 126 0.8× 80 0.9× 75 823
Jian Cui Singapore 13 71 0.4× 231 1.4× 296 1.9× 127 0.8× 58 0.7× 55 780
Kathryn Kasmarik Australia 14 222 1.2× 51 0.3× 129 0.8× 91 0.6× 66 0.8× 53 643
Omid Dehzangi United States 14 79 0.4× 85 0.5× 183 1.2× 67 0.4× 191 2.2× 52 640
Shahina Begum Sweden 19 493 2.7× 261 1.6× 221 1.4× 188 1.2× 236 2.7× 89 1.3k
Eman M. G. Younis Egypt 14 326 1.8× 171 1.1× 102 0.6× 55 0.4× 71 0.8× 35 819
Guojun Dai China 15 156 0.9× 314 1.9× 457 2.9× 54 0.4× 59 0.7× 48 967
Daniel Barber United States 13 145 0.8× 62 0.4× 130 0.8× 490 3.2× 39 0.5× 42 793

Countries citing papers authored by Shaibal Barua

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shaibal Barua

This figure shows the co-authorship network connecting the top 25 collaborators of Shaibal Barua. A scholar is included among the top collaborators of Shaibal Barua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaibal Barua. Shaibal Barua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ahmed, Mobyen Uddin, et al.. (2024). Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers. SPIRE - Sciences Po Institutional REpository. 26–35.
2.
Hurter, Christophe, Nicolas Durand, Ana Ferreira, et al.. (2024). Examining Decision-Making in Air Traffic Control: Enhancing Transparency and Decision Support Through Machine Learning, Explanation, and Visualization: A Case Study. SPIRE - Sciences Po Institutional REpository. 622–634. 2 indexed citations
3.
Ahmed, Mobyen Uddin, et al.. (2024). Second-Order Learning with Grounding Alignment: A Multimodal Reasoning Approach to Handle Unlabelled Data. 561–572. 1 indexed citations
4.
Ahmed, Mobyen Uddin, et al.. (2024). Research Issues and Challenges in the Computational Development of Trustworthy AI. 300–305. 1 indexed citations
5.
Kabir, Md Alamgir, et al.. (2024). Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement. 21–29. 1 indexed citations
6.
Islam, Mir Riyanul, Christophe Hurter, Shaibal Barua, et al.. (2022). A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory. Applied Sciences. 12(3). 1295–1295. 61 indexed citations
7.
Hurter, Christophe, Nicolas Durand, Ana Ferreira, et al.. (2022). Usage of more transparent and explainable conflict resolution algorithm: air traffic controller feedback. Transportation research procedia. 66. 270–278. 6 indexed citations
8.
Rahman, Hamidur, Mobyen Uddin Ahmed, Shaibal Barua, Peter Funk, & Shahina Begum. (2021). Vision-Based Driver’s Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning. Sensors. 21(23). 8019–8019. 20 indexed citations
9.
Islam, Mir Riyanul, Shaibal Barua, Mobyen Uddin Ahmed, et al.. (2020). A Novel Mutual Information Based Feature Set for Drivers’ Mental Workload Evaluation Using Machine Learning. Brain Sciences. 10(8). 551–551. 30 indexed citations
10.
Barua, Shaibal, Mobyen Uddin Ahmed, & Shahina Begum. (2020). Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification. Brain Sciences. 10(8). 526–526. 24 indexed citations
11.
Rahman, Hamidur, Mobyen Uddin Ahmed, Shaibal Barua, & Shahina Begum. (2019). Non-contact-based driver’s cognitive load classification using physiological and vehicular parameters. Biomedical Signal Processing and Control. 55. 101634–101634. 31 indexed citations
12.
Ahmed, Mobyen Uddin, Peter Andersson, Shaibal Barua, et al.. (2019). Real-time Biomass Characterization in Energy Conversion Processes using Near Infrared Spectroscopy : A Machine Learning Approach. 158. 1279–1287. 1 indexed citations
13.
Ahmed, Mobyen Uddin, et al.. (2019). A Machine Learning Approach for Biomass Characterization. Energy Procedia. 158. 1279–1287. 18 indexed citations
14.
Islam, Mir Riyanul, Shaibal Barua, Shahina Begum, & Mobyen Uddin Ahmed. (2019). Hypothyroid Disease Diagnosis with Causal Explanation using Case-based Reasoning and Domain-specific Ontology. 87–97. 2 indexed citations
15.
Barua, Shaibal, Shahina Begum, & Mobyen Uddin Ahmed. (2018). Towards Distributed k-NN similarity for Scalable Case Retrieval. 151–160. 1 indexed citations
16.
Barua, Shaibal, Mobyen Uddin Ahmed, Christer Ahlström, & Shahina Begum. (2018). Automatic driver sleepiness detection using EEG, EOG and contextual information. Expert Systems with Applications. 115. 121–135. 108 indexed citations
17.
Begum, Shahina, Shaibal Barua, & Mobyen Uddin Ahmed. (2017). In-Vehicle Stress Monitoring Based on EEG Signal. International Journal of Engineering Research and Applications. 7(7). 55–71. 5 indexed citations
18.
Ahlström, Christer, Shaibal Barua, Carina Fors, et al.. (2017). Vehicle driver monitoring : sleepiness and cognitive load. 6 indexed citations
19.
Barua, Shaibal, Shahina Begum, & Mobyen Uddin Ahmed. (2015). Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals. Studies in health technology and informatics. 211. 241–8. 12 indexed citations
20.
Barua, Shaibal & Shahina Begum. (2014). A Review on Machine Learning Algorithms in Handling EEG Artifacts. KTH Publication Database DiVA (KTH Royal Institute of Technology). 20(5). 663–9. 17 indexed citations

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.

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