Stephen Pfohl

6.9k total citations · 1 hit paper
38 papers, 1.2k citations indexed

About

Stephen Pfohl is a scholar working on Artificial Intelligence, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Stephen Pfohl has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in General Health Professions. Recurrent topics in Stephen Pfohl's work include Machine Learning in Healthcare (9 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Electronic Health Records Systems (4 papers). Stephen Pfohl is often cited by papers focused on Machine Learning in Healthcare (9 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Electronic Health Records Systems (4 papers). Stephen Pfohl collaborates with scholars based in United States, Canada and Colombia. Stephen Pfohl's co-authors include Paul Patton, Jean Baudrillard, Nigam H. Shah, Richard Warner, Cassie S. Mitchell, Robert F. Meier, Martin Halicek, Jason Fries, Ethan Steinberg and Lillian Sung and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, Scientific Reports and Journal of the American Medical Informatics Association.

In The Last Decade

Stephen Pfohl

33 papers receiving 1.0k citations

Hit Papers

The Gulf War Did Not Take Place. 1997 2026 2006 2016 1997 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Pfohl United States 16 410 214 115 108 95 38 1.2k
Graeme Laurie United Kingdom 21 224 0.5× 160 0.7× 86 0.7× 20 0.2× 12 0.1× 101 1.6k
Paula Boddington United Kingdom 14 97 0.2× 93 0.4× 36 0.3× 6 0.1× 91 1.0× 48 931
Eric T. Juengst United States 27 152 0.4× 41 0.2× 29 0.3× 16 0.1× 53 0.6× 97 2.2k
Karen Jones United Kingdom 12 380 0.9× 74 0.3× 31 0.3× 4 0.0× 358 3.8× 34 1.4k
Thomas Powell United States 15 515 1.3× 176 0.8× 14 0.1× 8 0.1× 24 0.3× 41 1.1k
John Gardner Australia 16 225 0.5× 21 0.1× 13 0.1× 137 1.3× 42 0.4× 43 1.0k
Tiago Moreira United Kingdom 18 238 0.6× 22 0.1× 8 0.1× 17 0.2× 87 0.9× 68 1.2k
Silke Schicktanz Germany 23 154 0.4× 26 0.1× 20 0.2× 10 0.1× 50 0.5× 122 1.4k
Robin Pierce United Kingdom 11 136 0.3× 56 0.3× 76 0.7× 11 0.1× 5 0.1× 40 677
Sandra Soo‐Jin Lee United States 24 109 0.3× 54 0.3× 45 0.4× 58 0.5× 6 0.1× 82 1.7k

Countries citing papers authored by Stephen Pfohl

Since Specialization
Citations

This map shows the geographic impact of Stephen Pfohl'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 Stephen Pfohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Pfohl more than expected).

Fields of papers citing papers by Stephen Pfohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Pfohl. 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 Stephen Pfohl. The network helps show where Stephen Pfohl may publish in the future.

Co-authorship network of co-authors of Stephen Pfohl

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Pfohl. A scholar is included among the top collaborators of Stephen Pfohl 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 Stephen Pfohl. Stephen Pfohl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Weng, Wei‐Hung, Atilla P. Kiraly, Alexander D’Amour, et al.. (2024). An intentional approach to managing bias in general purpose embedding models. The Lancet Digital Health. 6(2). e126–e130. 6 indexed citations
4.
Guo, Lin, Ethan Steinberg, Scott L. Fleming, et al.. (2023). EHR foundation models improve robustness in the presence of temporal distribution shift. Scientific Reports. 13(1). 3767–3767. 28 indexed citations
5.
Pfohl, Stephen, et al.. (2022). Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation. BMJ Health & Care Informatics. 29(1). e100460–e100460. 20 indexed citations
6.
Guo, Lin, Stephen Pfohl, Jason Fries, et al.. (2022). Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine. Scientific Reports. 12(1). 2726–2726. 45 indexed citations
7.
Patel, Birju, Ethan Steinberg, Stephen Pfohl, & Nigam H. Shah. (2021). Learning decision thresholds for risk stratification models from aggregate clinician behavior. Journal of the American Medical Informatics Association. 28(10). 2258–2264. 4 indexed citations
8.
Nestsiarovich, Anastasiya, Jenna Reps, Michael E. Matheny, et al.. (2021). Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study. Translational Psychiatry. 11(1). 642–642. 22 indexed citations
9.
Steinberg, Ethan, et al.. (2020). Language models are an effective representation learning technique for electronic health record data. Journal of Biomedical Informatics. 113. 103637–103637. 66 indexed citations
10.
Pfohl, Stephen, et al.. (2020). An empirical characterization of fair machine learning for clinical risk prediction. Journal of Biomedical Informatics. 113. 103621–103621. 73 indexed citations
11.
Pfohl, Stephen, et al.. (2018). Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction. Frontiers in Neuroinformatics. 12. 36–36. 31 indexed citations
12.
Ding, Daisy Yi, et al.. (2018). The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data. PubMed. 24. 18–29. 13 indexed citations
13.
Pfohl, Stephen, Martin Halicek, & Cassie S. Mitchell. (2015). Characterization of the Contribution of Genetic Background and Gender to Disease Progression in the SOD1 G93A Mouse Model of Amyotrophic Lateral Sclerosis: A Meta-Analysis. Journal of Neuromuscular Diseases. 2(2). 137–150. 88 indexed citations
14.
Pfohl, Stephen. (2010). Digital Magic, Cybernetic Sorcery: On the Politics of Fascination and Fear. Ctheory.
15.
Pfohl, Stephen. (1997). The Cybernetic Delirium of Norbert Wiener. Ctheory. 4 indexed citations
16.
Pfohl, Stephen. (1993). Twilight of the Parasites: Ultramodern Capital and the New World Order. Social Problems. 40(2). 125–151. 8 indexed citations
17.
Pfohl, Stephen. (1990). Welcome to the PARASITE CAFE: Postmodernity as a Social Problem. Social Problems. 37(4). 421–442. 9 indexed citations
18.
Pfohl, Stephen & Robert F. Meier. (1987). Theoretical Methods in Criminology.. Contemporary Sociology A Journal of Reviews. 16(4). 527–527. 60 indexed citations
19.
Pfohl, Stephen & Richard Warner. (1987). Recovery from Schizophrenia: Psychiatry and Political Economy. Contemporary Sociology A Journal of Reviews. 16(6). 880–880. 96 indexed citations
20.
Pfohl, Stephen & Avery F. Gordon. (1986). Criminological Displacements: A Sociological Deconstruction. Social Problems. 33(6). S94–S113. 15 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026