Bubacarr Bah
Impact in
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- Artificial Intelligence in Healthcare and Education
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques
Papers in
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- Sparse and Compressive Sensing Techniques 11
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- Stochastic Gradient Optimization Techniques 2
- Privacy-Preserving Technologies in Data 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Jared Tanner (4 shared papers)Rachel Ward (1 shared paper)Volkan Cevher (3 shared papers)Holger Rauhut (1 shared paper)Michael Westdickenberg (1 shared paper)Ulrich Terstiege (1 shared paper)Luca Baldassarre (2 shared papers)Andronicus A. Akinyelu (1 shared paper)
- Journals
- Wellcome Open Research (2 papers)Linear Algebra and its Applications (1 paper)Nature Communications (1 paper)Ecosphere (1 paper)Patterns (1 paper)
- Partner nations
- United KingdomSouth AfricaGermany
In The Last Decade
Bubacarr Bah
23 papers receiving 221 citations
Peers
Comparison fields: 5 of 59
- Health Informatics 15
- Computational Mechanics 111
- Drug Discovery 1
- Artificial Intelligence 57
- Computational Mathematics 1
Countries citing papers authored by Bubacarr Bah
This map shows the geographic impact of Bubacarr Bah'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 Bubacarr Bah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bubacarr Bah more than expected).
Fields of papers citing papers by Bubacarr Bah
This network shows the impact of papers produced by Bubacarr Bah. 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 Bubacarr Bah. The network helps show where Bubacarr Bah may publish in the future.
Co-authors
The 25 scholars most cited alongside Bubacarr Bah, 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 | 2024 | 56 | |
| 2 | 2010 | 51 | |
| 3 | 2013 | 20 | |
| 4 | 2021 | 19 | |
| 5 | 2016 | 15 | |
| 6 | 2024 | 9 | |
| 7 | 2013 | 8 | |
| 8 | 2013 | 7 | |
| 9 | 2020 | 6 | |
| 10 | MODEL-BASED SKETCHING AND RECOVERY WITH EXPANDERS | 2013 | 5 |
| 11 | 2019 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Bubacarr Bah
Bubacarr Bah is a scholar working on Computational Mechanics, Artificial Intelligence, Health, Toxicology and Mutagenesis, Health Information Management and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 230 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (11 papers), Climate Change and Health Impacts (3 papers), Thermoregulation and physiological responses (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Privacy-Preserving Technologies in Data (1 paper), Electronic Health Records Systems (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (15 citations), Computational Mechanics (111 citations), Drug Discovery (1 citation), Artificial Intelligence (57 citations) and Computational Mathematics (1 citation). Bubacarr Bah has collaborated with scholars based in United Kingdom, South Africa and Germany. Frequent co-authors include Jared Tanner, Rachel Ward, Volkan Cevher, Holger Rauhut, Michael Westdickenberg, Ulrich Terstiege, Luca Baldassarre, Andronicus A. Akinyelu, Oliver Schaudt and John G. Measey. Their work appears in journals such as Wellcome Open Research, Linear Algebra and its Applications, Nature Communications, Ecosphere and Patterns.
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.