Daniel Faissol
Impact in
-
- Artificial Intelligence in Healthcare and Education
-
- Corneal surgery and disorders
- Corneal Surgery and Treatments
Papers in
-
- Protein purification and stability 1
-
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Julie Swann (4 shared papers)Paul M. Griffin (4 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)Neural Computing and Applications (1 paper)Scientific Reports (1 paper)Journal of Computational Biology (1 paper)
- Partner nations
- United StatesHong Kong
In The Last Decade
Daniel Faissol
10 papers receiving 118 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 6
- Radiology, Nuclear Medicine and Imaging 34
- Modeling and Simulation 5
- Statistics and Probability 9
- Medical Laboratory Technology 1
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 25 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 | 43 | |
| 2 | 2008 | 27 | |
| 3 | 2022 | 16 | |
| 4 | 2010 | 14 | |
| 5 | 2009 | 9 | |
| 6 | 2007 | 5 | |
| 7 | Single Episode Policy Transfer in Reinforcement Learning | 2019 | 3 |
| 8 | 2012 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2016 | 1 | |
| 11 | 2025 | 0 |
About Daniel Faissol
Daniel Faissol is a scholar working on Molecular Biology, Epidemiology, Artificial Intelligence, Sociology and Political Science and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 122 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Sex work and related issues (1 paper), Protein purification and stability (1 paper), Facility Location and Emergency Management (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (34 citations), Modeling and Simulation (5 citations), Statistics and Probability (9 citations) and Medical Laboratory Technology (1 citation). 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, Neural Computing and Applications, Scientific Reports and Journal of Computational Biology.
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.