Daniel E. Ho
- Health Informatics top 0.2%
- Statistics and Probability top 0.5%
- Advanced Causal Inference Techniques 6
- Economics and Econometrics top 0.5%
- Law, Economics, and Judicial Systems 14
- Legal and Constitutional Studies 11
- Safety Research top 1%
- Ethics and Social Impacts of AI 8
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- Artificial Intelligence in Law 7
- Electoral Systems and Political Participation 6
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- Regulation and Compliance Studies 8
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- Judicial and Constitutional Studies 7
- Co-authors
- Kosuke ImaiElizabeth A. StuartGary KingJames ZouKevin M. QuinnDavid Freeman EngstromDavid OuyangRoxana Daneshjou
- Journals
- Journal of Empirical Legal Studies (5 papers)Stanford Law Review (5 papers)The Yale Law Journal (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel E. Ho
99 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Health Informatics 275
- Statistics and Probability 755
- Economics and Econometrics 1.4k
- Safety Research 433
- Political Science and International Relations 775
Countries citing papers authored by Daniel E. Ho
This map shows the geographic impact of Daniel E. Ho'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 Daniel E. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Ho more than expected).
Fields of papers citing papers by Daniel E. Ho
This network shows the impact of papers produced by Daniel E. Ho. 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 Daniel E. Ho. The network helps show where Daniel E. Ho may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Ho, 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 | 2025 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 2 | |
| 11 | Due Process and Mass Adjudication: Crisis and Reform | 2020 | 3 |
| 12 | Algorithmic Accountability in the Administrative State | 2020 | 27 |
| 13 | 2020 | 3 | |
| 14 | 2019 | 2 | |
| 15 | Does Peer Review Work? An Experiment of Experimentalism | 2016 | 17 |
| 16 | Measuring Agency Preferences: Experts, Voting, and the Power of Chairs | 2014 | 3 |
| 17 | Fudging the Nudge: Information Disclosure and Restaurant Grading | 2012 | 39 |
| 18 | Did Liberal Justices Invent the Standing Doctrine? an Empirical Study of the Evolution of Standing, 1921-2006 | 2010 | 5 |
| 19 | 2008 | 80 | |
| 20 | The Supreme Court During Crisis: How War Affects only Non-War Cases | 2005 | 54 |
About Daniel E. Ho
Daniel E. Ho is a scholar working on Health Informatics, Law and Safety Research, having authored 108 papers that have together received 8.1k indexed citations. Recurring topics across this work include Law, Economics, and Judicial Systems (14 papers), Legal and Constitutional Studies (11 papers), Ethics and Social Impacts of AI (8 papers), Regulation and Compliance Studies (8 papers), Judicial and Constitutional Studies (7 papers), Artificial Intelligence in Law (7 papers), Electoral Systems and Political Participation (6 papers) and Advanced Causal Inference Techniques (6 papers). The work is most often cited by research in Health Informatics (275 citations), Statistics and Probability (755 citations) and Economics and Econometrics (1.4k citations). Daniel E. Ho has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Kosuke Imai, Elizabeth A. Stuart, Gary King, James Zou, Kevin M. Quinn, David Freeman Engstrom, David Ouyang, Roxana Daneshjou, Kevin Wu and Eric Q. Wu. Their work appears in journals such as Journal of Empirical Legal Studies, Stanford Law Review, The Yale Law Journal, Science and Nature Machine Intelligence.
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.