Bashar Hasan
Impact in
- Health Informatics top 5%
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
-
- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 8
- Co-authors
- Mohammad Hassan Murad (39 shared papers)John Q. Gan (12 shared papers)Zhen Wang (18 shared papers)Larry J. Prokop (21 shared papers)Tarek Nayfeh (22 shared papers)Magdoleen H. Farah (16 shared papers)Allison S. Morrow (9 shared papers)Mohamed O. Seisa (13 shared papers)
- Journals
- Journal of Vascular Surgery (6 papers)Hepatology (5 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Mayo Clinic Proceedings (3 papers)Oncology nursing forum (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Bashar Hasan
78 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 151
- Health Informatics 30
- Hepatology 104
- Cognitive Neuroscience 243
- Internal Medicine 33
- Neurology 71
Countries citing papers authored by Bashar Hasan
This map shows the geographic impact of Bashar Hasan'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 Bashar Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bashar Hasan more than expected).
Fields of papers citing papers by Bashar Hasan
This network shows the impact of papers produced by Bashar Hasan. 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 Bashar Hasan. The network helps show where Bashar Hasan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bashar Hasan, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2019 | 113 | |
| 3 | 2021 | 102 | |
| 4 | 2020 | 82 | |
| 5 | 2023 | 51 | |
| 6 | 2024 | 48 | |
| 7 | 2021 | 48 | |
| 8 | 2015 | 48 | |
| 9 | 2022 | 47 | |
| 10 | 2022 | 47 | |
| 11 | 2021 | 45 | |
| 12 | 2020 | 41 | |
| 13 | 2012 | 40 | |
| 14 | 2024 | 36 | |
| 15 | 2016 | 34 | |
| 16 | 2012 | 34 | |
| 17 | 2018 | 34 | |
| 18 | 2017 | 33 | |
| 19 | 2024 | 33 | |
| 20 | 2017 | 32 |
About Bashar Hasan
Bashar Hasan is a scholar working on Cognitive Neuroscience, Hepatology, Statistics, Probability and Uncertainty, Artificial Intelligence and Health Informatics, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (8 papers), Meta-analysis and systematic reviews (6 papers), Neural Networks and Applications (6 papers), Blind Source Separation Techniques (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Health Informatics (30 citations), Hepatology (104 citations), Cognitive Neuroscience (243 citations), Internal Medicine (33 citations) and Neurology (71 citations). Bashar Hasan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Mohammad Hassan Murad, John Q. Gan, Zhen Wang, Larry J. Prokop, Tarek Nayfeh, Magdoleen H. Farah, Allison S. Morrow, Mohamed O. Seisa, Samer Mohir Saadi and Pascal Belin. Their work appears in journals such as Journal of Vascular Surgery, Hepatology, The Journal of Clinical Endocrinology & Metabolism, Mayo Clinic Proceedings and Oncology nursing forum.
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.