Solon Barocas
- Safety Research top 0.1%
- Artificial Intelligence top 1%
- Sociology and Political Science top 2%
- Information Systems top 2%
- Health Informatics top 0.2%
- Co-authors
- Andrew D. SelbstHelen NissenbaumKaren LevyShira MitchellKristian LumEric PotashAlexander D’AmourArvind Narayanan
- Topics
- Ethics and Social Impacts of AI (20 papers)Explainable Artificial Intelligence (XAI) (10 papers)Adversarial Robustness in Machine Learning (5 papers)
- Journals
- Communications of the ACMProceedings of the ACM on Human-Computer InteractionCalifornia Law Review
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Solon Barocas
45 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Safety Research 1.4k
- Artificial Intelligence 1.2k
- Sociology and Political Science 919
- Information Systems 404
- Health Informatics 274
Countries citing papers authored by Solon Barocas
This map shows the geographic impact of Solon Barocas'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 Solon Barocas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Solon Barocas more than expected).
Fields of papers citing papers by Solon Barocas
This network shows the impact of papers produced by Solon Barocas. 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 Solon Barocas. The network helps show where Solon Barocas may publish in the future.
Co-authorship network of co-authors of Solon Barocas
This figure shows the co-authorship network connecting the top 25 collaborators of Solon Barocas. A scholar is included among the top collaborators of Solon Barocas 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 Solon Barocas. Solon Barocas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 24 | |
| 10 | Privacy Dependencies | 4 |
| 11 | Algorithmic Fairness: Choices, Assumptions, and Definitionsbreakdown → | 286 |
| 12 | The Intuitive Appeal of Explainable Machines | 49 |
| 13 | Privacy at the Margins| Refractive Surveillance: Monitoring Customers to Manage Workers | 17 |
| 14 | Debiasing Desire: Addressing Bias and Discrimination on Intimate Platforms | 3 |
| 15 | Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI | 13 |
| 16 | Big Data's Disparate Impactbreakdown → | 1086 |
| 17 | Discriminating Tastes: Customer Ratings as Vehicles for Bias | 19 |
| 18 | 80 | |
| 19 | Adnostic: Privacy Preserving Targeted Advertising | 125 |
| 20 | On Notice: The Trouble with Notice and Consent | 33 |
About Solon Barocas
Solon Barocas is a scholar working on Safety Research, General Decision Sciences and Health Informatics, having authored 48 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (20 papers), Explainable Artificial Intelligence (XAI) (10 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Health Informatics (274 citations), Safety Research (1.4k citations) and Artificial Intelligence (1.2k citations). Solon Barocas has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Andrew D. Selbst, Helen Nissenbaum, Karen Levy, Shira Mitchell, Kristian Lum, Eric Potash, Alexander D’Amour, Arvind Narayanan, Manish Raghavan and Alex Rosenblat. Their work appears in journals such as Communications of the ACM, Proceedings of the ACM on Human-Computer Interaction and California Law Review.
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.