Eric Potash
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 2%
- Ethics and Social Impacts of AI
Papers in
-
- Heavy Metal Exposure and Toxicity 2
- Air Quality and Health Impacts 2
-
- Noise Effects and Management 2
- Co-authors
- Solon Barocas (1 shared paper)Shira Mitchell (1 shared paper)Alexander D’Amour (1 shared paper)Kristian Lum (1 shared paper)Rayid Ghani (2 shared papers)Raed Mansour (2 shared papers)Joe Walsh (2 shared papers)Cortland Lohff (1 shared paper)
- Journals
- JAMA Network Open (1 paper)Economics Letters (1 paper)Annual Review of Statistics and Its Application (1 paper)Involve a Journal of Mathematics (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Eric Potash
5 papers receiving 337 citations
Eric Potash's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 41
- Safety Research 177
- Artificial Intelligence 128
- Computer Science Applications 19
- Statistics and Probability 18
Countries citing papers authored by Eric Potash
This map shows the geographic impact of Eric Potash'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 Eric Potash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Potash more than expected).
Fields of papers citing papers by Eric Potash
This network shows the impact of papers produced by Eric Potash. 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 Eric Potash. The network helps show where Eric Potash may publish in the future.
Co-authors
The 11 scholars most cited alongside Eric Potash, 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 | Algorithmic Fairness: Choices, Assumptions, and Definitions Hit paper breakdown → | 2020 | 286 |
| 2 | 2020 | 32 | |
| 3 | 2015 | 24 | |
| 4 | 2008 | 3 | |
| 5 | 2018 | 1 |
About Eric Potash
Eric Potash is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Discrete Mathematics and Combinatorics, Algebra and Number Theory and Artificial Intelligence, having authored 5 papers that have together received 346 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (2 papers), Air Quality and Health Impacts (2 papers), Noise Effects and Management (2 papers), Economic and Environmental Valuation (1 paper), Analytic Number Theory Research (1 paper), Ethics and Social Impacts of AI (1 paper), Advanced Causal Inference Techniques (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (41 citations), Safety Research (177 citations), Artificial Intelligence (128 citations), Computer Science Applications (19 citations) and Statistics and Probability (18 citations). Eric Potash has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Solon Barocas, Shira Mitchell, Alexander D’Amour, Kristian Lum, Rayid Ghani, Raed Mansour, Joe Walsh, Cortland Lohff, Andrew Reece and Joe Brew. Their work appears in journals such as JAMA Network Open, Economics Letters, Annual Review of Statistics and Its Application and Involve a Journal of Mathematics.
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.