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
- Genital Health and Disease 1
- Testicular diseases and treatments 1
- Co-authors
- Lilli Japec (1 shared paper)Frauke Kreuter (1 shared paper)Cliff Lampe (1 shared paper)Julia Lane (1 shared paper)Paul P. Biemer (1 shared paper)Paul T. Decker (1 shared paper)Gilles Zumbach (1 shared paper)James Moore (1 shared paper)
- Journals
- Public Opinion Quarterly (1 paper)Research and Practice for Persons with Severe Disabilities (1 paper)Annals of The Royal College of Surgeons of England (1 paper)Quantitative Finance (1 paper)Medical Entomology and Zoology (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Cathy O’Neil
8 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Health Informatics 59
- Safety Research 335
- Computer Science Applications 97
- 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 11 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 | 1024 |
| 2 | Doing Data Science: Straight Talk from the Frontline | 2013 | 160 |
| 3 | 2015 | 85 | |
| 4 | Doing Data Science | 2013 | 22 |
| 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, General Health Professions, Information Systems and Statistical and Nonlinear Physics, 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), Complex Network Analysis Techniques (1 paper), Blockchain Technology Applications and Security (1 paper), Genital Health and Disease (1 paper), Stochastic processes and financial applications (1 paper), Financial Risk and Volatility Modeling (1 paper), Testicular diseases and treatments (1 paper) and Market Dynamics and Volatility (1 paper). The work is most often cited by research in Health Informatics (59 citations), Safety Research (335 citations), Computer Science Applications (97 citations), Information Systems and Management (82 citations) and Communication (80 citations). Cathy O’Neil has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Lilli Japec, Frauke Kreuter, Cliff Lampe, Julia Lane, Paul P. Biemer, Paul T. Decker, Gilles Zumbach, James Moore, Derek Fawcett and Janice Warner. Their work appears in journals such as Public Opinion Quarterly, Research and Practice for Persons with Severe Disabilities, Annals of The Royal College of Surgeons of England, Quantitative Finance and Medical Entomology and Zoology.
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.