Daniel E. Ho

17.0k citations
108 papers · 8.4k · 7 hit papers · h-index 23

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Advanced Causal Inference Techniques
    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference

Papers in

Daniel E. Ho

102 papers receiving 8.0k citations

Daniel E. Ho's Hit Papers

Hallucination‐Free? Assessing the Reliability of Leading AI Legal Research Tools 2025 · 20 citations
200+6+12Years since publication10002.0k3.0k

Peers

Daniel E. Ho
Comparison fields: 5 of 211
  • Health Informatics 264
  • Statistics and Probability 721
  • Safety Research 418
  • Economics and Econometrics 1.3k
  • Political Science and International Relations 789
Replace Richard A. Berk with:
Richard A. Berk United States
Lutz Bornmann Germany
Jasjeet S. Sekhon United States
Jens Ludwig United States
Naihua Duan United States
Elizabeth A. Stuart United States
Susan Athey United States
Stefano M. Iacus Italy
Dustin Tingley United States
Nancy L. Leech United States
Daniel E. Ho relative to Richard A. Berk United States Richard A. Berk's profile →
Citations per field
00.5×10.2×
Richard A. Berk · 1×
Citations per year

Countries citing papers authored by Daniel E. Ho

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Hit paper breakdown →
20073124
2
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
Hit paper breakdown →
20113078
3
Advances, challenges and opportunities in creating data for trustworthy AI
Hit paper breakdown →
2022304
4
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
Hit paper breakdown →
2021290
5
Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies
Hit paper breakdown →
2020119
6 2008101
7 200698
8 200880
9
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Hit paper breakdown →
202469
10 201968
11 202162
12 202261
13
The Supreme Court During Crisis: How War Affects only Non-War Cases
200554
14 202150
15
Fudging the Nudge: Information Disclosure and Restaurant Grading
201239
16 201939
17 201034
18 200732
19 201131
20 202130

About Daniel E. Ho

Daniel E. Ho is a scholar working on Economics and Econometrics, Political Science and International Relations, Artificial Intelligence, Sociology and Political Science and Law, having authored 108 papers that have together received 8.4k indexed citations. Recurring topics across this work include Law, Economics, and Judicial Systems (14 papers), Legal and Constitutional Studies (11 papers), Regulation and Compliance Studies (8 papers), Ethics and Social Impacts of AI (8 papers), Artificial Intelligence in Law (7 papers), Judicial and Constitutional Studies (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 (264 citations), Statistics and Probability (721 citations), Safety Research (418 citations), Economics and Econometrics (1.3k citations) and Political Science and International Relations (789 citations). Daniel E. Ho has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Kosuke Imai, Gary King, Elizabeth A. Stuart, James Zou, Kevin M. Quinn, David Freeman Engstrom, Eric Q. Wu, David Ouyang, Roxana Daneshjou and Kevin 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.

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