Cathy O’Neil
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
-
- Big Data and Business Intelligence 2
- Surgery 1
- Co-authors
- Paul T. Decker (1 shared paper)Julia Lane (1 shared paper)Cliff Lampe (1 shared paper)Paul P. Biemer (1 shared paper)Frauke Kreuter (1 shared paper)Gilles Zumbach (1 shared paper)James Moore (1 shared paper)Derek Fawcett (1 shared paper)
- Journals
- Research and Practice for Persons with Severe Disabilities (1 paper)Public Opinion Quarterly (1 paper)Quantitative Finance (1 paper)Annals of The Royal College of Surgeons of England (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Cathy O’Neil
8 papers receiving 1.2k citations
Cathy O’Neil's Hit Papers
Peers
Comparison fields: 5 of 140
- Health Informatics 59
- Safety Research 340
- Computer Science Applications 96
- Information Systems and Management 82
- Communication 80
Countries citing papers authored by Cathy O’Neil
This map shows the geographic impact of Cathy O’Neil'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 Cathy O’Neil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy O’Neil more than expected).
Fields of papers citing papers by Cathy O’Neil
This network shows the impact of papers produced by Cathy O’Neil. 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 Cathy O’Neil. The network helps show where Cathy O’Neil may publish in the future.
Co-authors
The 10 scholars most cited alongside Cathy O’Neil, 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 | Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy Hit paper breakdown → | 2016 | 1044 |
| 2 | Doing Data Science: Straight Talk from the Frontline | 2013 | 158 |
| 3 | 2015 | 87 | |
| 4 | Doing Data Science | 2013 | 23 |
| 5 | 1983 | 10 | |
| 6 | 2008 | 8 | |
| 7 | 2012 | 7 | |
| 8 | 2024 | 2 |
About Cathy O’Neil
Cathy O’Neil is a scholar working on Management Information Systems, Surgery, Information Systems, Statistical and Nonlinear Physics and Finance, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Stochastic processes and financial applications (1 paper), Market Dynamics and Volatility (1 paper), Data-Driven Disease Surveillance (1 paper), Complex Network Analysis Techniques (1 paper), Auditing, Earnings Management, Governance (1 paper), Accounting Education and Careers (1 paper) and Legal Issues in Education (1 paper). The work is most often cited by research in Health Informatics (59 citations), Safety Research (340 citations), Computer Science Applications (96 citations), Information Systems and Management (82 citations) and Communication (80 citations). Cathy O’Neil has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Paul T. Decker, Julia Lane, Cliff Lampe, Paul P. Biemer, Frauke Kreuter, Gilles Zumbach, James Moore, Derek Fawcett, Janice Warner and Jacob M. Appel. Their work appears in journals such as Research and Practice for Persons with Severe Disabilities, Public Opinion Quarterly, Quantitative Finance, Annals of The Royal College of Surgeons of England and SSRN Electronic Journal.
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.