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
-
- Neural Networks and Applications 6
- Co-authors
- John Q. Gan (12 shared papers)M. Hassan Murad (42 shared papers)Zhen Wang (19 shared papers)Larry J. Prokop (23 shared papers)Tarek Nayfeh (24 shared papers)Allison S. Morrow (10 shared papers)Magdoleen H. Farah (17 shared papers)Mohamed O. Seisa (15 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)Academic Emergency Medicine (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Bashar Hasan
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 148
- Health Informatics 25
- Hepatology 94
- Cognitive Neuroscience 241
- Internal Medicine 30
- Neurology 57
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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 109 | |
| 2 | 2019 | 108 | |
| 3 | 2021 | 94 | |
| 4 | 2020 | 70 | |
| 5 | 2023 | 48 | |
| 6 | 2015 | 45 | |
| 7 | 2021 | 44 | |
| 8 | 2021 | 44 | |
| 9 | 2012 | 39 | |
| 10 | 2022 | 38 | |
| 11 | 2024 | 38 | |
| 12 | 2022 | 37 | |
| 13 | 2020 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2012 | 35 | |
| 16 | 2017 | 34 | |
| 17 | 2018 | 31 | |
| 18 | 2017 | 30 | |
| 19 | 2009 | 27 | |
| 20 | 2024 | 27 |
About Bashar Hasan
Bashar Hasan is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Surgery, Pulmonary and Respiratory Medicine and Hepatology, having authored 84 papers that have together received 1.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (8 papers), Neural Networks and Applications (6 papers), Meta-analysis and systematic reviews (5 papers), Blind Source Separation Techniques (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). The work is most often cited by research in Health Informatics (25 citations), Hepatology (94 citations), Cognitive Neuroscience (241 citations), Internal Medicine (30 citations) and Neurology (57 citations). Bashar Hasan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include John Q. Gan, M. Hassan Murad, Zhen Wang, Larry J. Prokop, Tarek Nayfeh, Allison S. Morrow, Magdoleen H. Farah, Mohamed O. Seisa, Pascal Belin and Samer Saadi. Their work appears in journals such as Journal of Vascular Surgery, Hepatology, The Journal of Clinical Endocrinology & Metabolism, Mayo Clinic Proceedings and Academic Emergency Medicine.
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.