Eric Potash

803 citations
5 papers · 435 · 1 hit paper · h-index 3

Impact in

Papers in

Eric Potash

5 papers receiving 402 citations

Eric Potash's Hit Papers

Algorithmic Fairness: Choices, Assumptions, and Definitions 2020 · 370 citations
3700+2+4Years since publication100200300

Peers

Eric Potash
Comparison fields: 5 of 94
  • Health Informatics 46
  • Safety Research 218
  • Computer Science Applications 29
  • Artificial Intelligence 164
  • Cognitive Neuroscience 42
Replace Maria De‐Arteaga with:
Maria De‐Arteaga United States
Nripsuta Ani Saxena United States
Rashidul Islam United States
Christoph A. Kern Germany
Kamrun Naher Keya United States
Tianling Yang Germany
Bogdana Rakova United States
William Welser United States
Giovanni Comandé Italy
Tjerk Timan Netherlands
Eric Potash relative to Maria De‐Arteaga United States Maria De‐Arteaga's profile →
Citations per field
00.5×1.5×2.2×
Maria De‐Arteaga · 1×
Citations per year

Countries citing papers authored by Eric Potash

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eric Potash Line = papers co-authored together Eric Potash links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Algorithmic Fairness: Choices, Assumptions, and Definitions
Hit paper breakdown →
2020370
2 202033
3 201528
4 20083
5 20181

About Eric Potash

Eric Potash is a scholar working on Health, Toxicology and Mutagenesis, Discrete Mathematics and Combinatorics, Algebra and Number Theory, Speech and Hearing and Safety Research, having authored 5 papers that have together received 435 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (2 papers), Statistical Methods in Clinical Trials (1 paper), Ethics and Social Impacts of AI (1 paper), Adversarial Robustness in Machine Learning (1 paper), Advanced Causal Inference Techniques (1 paper), Analytic Number Theory Research (1 paper), Advanced Combinatorial Mathematics (1 paper) and Noise Effects and Management (1 paper). The work is most often cited by research in Health Informatics (46 citations), Safety Research (218 citations), Computer Science Applications (29 citations), Artificial Intelligence (164 citations) and Cognitive Neuroscience (42 citations). Eric Potash has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Solon Barocas, Alexander D’Amour, Kristian Lum, Shira Mitchell, Rayid Ghani, Joe Walsh, Raed Mansour, Cortland J. Lohff, Joe Brew and Subhabrata Majumdar. 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.

Explore authors with similar magnitude of impact