Daniel Faissol
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Glaucoma and retinal disorders
Papers in
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- Sex work and related issues 2
- Terrorism, Counterterrorism, and Political Violence 1
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- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Julie Swann (4 shared papers)Paul M. Griffin (2 shared papers)Jiachen Yang (2 shared papers)Brenden K. Petersen (3 shared papers)Gary An (1 shared paper)Will Grathwohl (1 shared paper)Chase Cockrell (1 shared paper)Eser Kırkızlar (1 shared paper)
- Journals
- JAIDS Journal of Acquired Immune Deficiency Syndromes (2 papers)Mathematical Biosciences (2 papers)Scientific Reports (1 paper)Journal of Computational Biology (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- United StatesHong Kong
In The Last Decade
Daniel Faissol
10 papers receiving 103 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 6
- Ophthalmology 16
- Radiology, Nuclear Medicine and Imaging 34
- Statistics and Probability 8
- Modeling and Simulation 4
Countries citing papers authored by Daniel Faissol
This map shows the geographic impact of Daniel Faissol'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 Daniel Faissol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Faissol more than expected).
Fields of papers citing papers by Daniel Faissol
This network shows the impact of papers produced by Daniel Faissol. 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 Daniel Faissol. The network helps show where Daniel Faissol may publish in the future.
Co-authors
The 24 scholars most cited alongside Daniel Faissol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 34 | |
| 2 | 2008 | 26 | |
| 3 | 2022 | 14 | |
| 4 | 2010 | 11 | |
| 5 | 2009 | 9 | |
| 6 | 2007 | 4 | |
| 7 | Single Episode Policy Transfer in Reinforcement Learning | 2019 | 3 |
| 8 | 2012 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2016 | 1 |
About Daniel Faissol
Daniel Faissol is a scholar working on Sociology and Political Science, Epidemiology, Artificial Intelligence, Molecular Biology and Statistics and Probability, having authored 10 papers that have together received 106 indexed citations. Recurring topics across this work include Sex work and related issues (2 papers), Advanced Causal Inference Techniques (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Feminist Theory and Gender Studies (1 paper), Hepatitis C virus research (1 paper), Terrorism, Counterterrorism, and Political Violence (1 paper), Military Defense Systems Analysis (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Health Informatics (6 citations), Ophthalmology (16 citations), Radiology, Nuclear Medicine and Imaging (34 citations), Statistics and Probability (8 citations) and Modeling and Simulation (4 citations). Daniel Faissol has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Julie Swann, Paul M. Griffin, Jiachen Yang, Brenden K. Petersen, Gary An, Will Grathwohl, Chase Cockrell, Eser Kırkızlar, Brent W. Segelke and Fangqiang Zhu. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Mathematical Biosciences, Scientific Reports, Journal of Computational Biology and Neural Computing and Applications.
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.