Daniel Faissol

443 total citations
10 papers, 106 citations indexed

About

Daniel Faissol is a scholar working on Sociology and Political Science, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Daniel Faissol has authored 10 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Epidemiology and 3 papers in Artificial Intelligence. Recurrent topics in Daniel Faissol's work include Advanced Causal Inference Techniques (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Sex work and related issues (2 papers). Daniel Faissol is often cited by papers focused on Advanced Causal Inference Techniques (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Sex work and related issues (2 papers). Daniel Faissol collaborates with scholars based in United States and Hong Kong. Daniel Faissol's co-authors include Julie Swann, Jiachen Yang, Paul M. Griffin, Brenden K. Petersen, Will Grathwohl, Chase Cockrell, Gary An, Eser Kırkızlar, William F. Bennett and Brent W. Segelke and has published in prestigious journals such as Scientific Reports, JAIDS Journal of Acquired Immune Deficiency Syndromes and Neural Computing and Applications.

In The Last Decade

Daniel Faissol

10 papers receiving 103 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Faissol United States 5 34 24 16 15 15 10 106
Sarah Dudgeon United States 6 29 0.9× 9 0.4× 7 0.4× 19 1.3× 24 1.6× 12 83
Haiwen Gui United States 6 43 1.3× 31 1.3× 6 0.4× 10 0.7× 67 4.5× 13 211
Taiyao Wang United States 7 38 1.1× 72 3.0× 20 1.3× 39 2.6× 11 204
Nhung Pham Netherlands 6 28 0.8× 59 2.5× 27 1.7× 10 0.7× 2 0.1× 14 127
Caspar Geenen Belgium 7 51 1.5× 9 0.4× 44 2.8× 23 1.5× 8 0.5× 15 134
Alexander Davydov Belarus 3 7 0.2× 19 0.8× 13 0.9× 26 1.7× 5 85
Akash Chaurasia United States 5 71 2.1× 14 0.6× 35 2.2× 5 0.3× 63 4.2× 8 190
Xia Ma China 7 22 0.6× 7 0.3× 19 1.3× 15 1.0× 14 165

Countries citing papers authored by Daniel Faissol

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Faissol

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Faissol. A scholar is included among the top collaborators of Daniel Faissol based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Faissol. Daniel Faissol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Silva, Felipe Leno da, André Gonçalves, Ruben Glatt, et al.. (2023). Language model-accelerated deep symbolic optimization. Neural Computing and Applications. 37(31). 25601–25617. 1 indexed citations
2.
Zhu, Fangqiang, William F. Bennett, Edmond Y. Lau, et al.. (2022). Large-scale application of free energy perturbation calculations for antibody design. Scientific Reports. 12(1). 12489–12489. 14 indexed citations
3.
Yang, Jiachen, Brenden K. Petersen, Hongyuan Zha, & Daniel Faissol. (2019). Single Episode Policy Transfer in Reinforcement Learning. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
4.
Petersen, Brenden K., Jiachen Yang, Will Grathwohl, et al.. (2019). Deep Reinforcement Learning and Simulation as a Path Toward Precision Medicine. Journal of Computational Biology. 26(6). 597–604. 34 indexed citations
5.
Faissol, Daniel, et al.. (2016). Physics and optimal routing for urban radiation source search. 379–383. 1 indexed citations
6.
Faissol, Daniel, et al.. (2012). Exploitation of Ambiguous Cues to Infer Terrorist Activity. Decision Analysis. 10(1). 42–62. 3 indexed citations
7.
Kırkızlar, Eser, Daniel Faissol, Paul M. Griffin, & Julie Swann. (2010). Timing of testing and treatment for asymptomatic diseases. Mathematical Biosciences. 226(1). 28–37. 11 indexed citations
8.
Faissol, Daniel, Paul M. Griffin, & Julie Swann. (2009). Bias in Markov models of disease. Mathematical Biosciences. 220(2). 143–156. 9 indexed citations
9.
Faissol, Daniel, et al.. (2008). Closing Bathhouses Unlikely to Decrease Number of Sex Acts and May Reduce Condom Use. JAIDS Journal of Acquired Immune Deficiency Syndromes. 47(2). 266–266. 26 indexed citations
10.
Faissol, Daniel, et al.. (2007). The Role of Bathhouses and Sex Clubs in HIV Transmission. JAIDS Journal of Acquired Immune Deficiency Syndromes. 44(4). 386–394. 4 indexed citations

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.

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2026