Harry Surden
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
- Health Informatics top 10%
Papers in
-
- Artificial Intelligence in Law 8
- Legal Systems and Judicial Processes 2
-
- Law, AI, and Intellectual Property 4
- Co-authors
- Mary‐Anne Williams (4 shared papers)Michael Genesereth (1 shared paper)Daryl Lim (1 shared paper)Jay P. Kesan (1 shared paper)D. Daniel Sokol (1 shared paper)Jacob S. Sherkow (1 shared paper)Christopher S. Yoo (1 shared paper)Pierre Larouche (1 shared paper)
- Journals
- IEEE Technology and Society Magazine (1 paper)Washington and Lee law review (1 paper)Washington law review (1 paper)SSRN Electronic Journal (5 papers)eYLS (Yale Law School) (4 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Harry Surden
16 papers receiving 220 citations
Peers
Comparison fields: 5 of 62
- Safety Research 80
- Health Informatics 12
- Law 48
- Political Science and International Relations 90
- Artificial Intelligence 89
Countries citing papers authored by Harry Surden
This map shows the geographic impact of Harry Surden'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 Harry Surden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry Surden more than expected).
Fields of papers citing papers by Harry Surden
This network shows the impact of papers produced by Harry Surden. 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 Harry Surden. The network helps show where Harry Surden may publish in the future.
Co-authors
The 12 scholars most cited alongside Harry Surden, 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 | Artificial Intelligence and Law: An Overview | 2019 | 76 |
| 2 | Machine Learning and Law | 2014 | 63 |
| 3 | 2016 | 34 | |
| 4 | Technological Opacity, Predictability, and Self-Driving Cars | 2016 | 15 |
| 5 | 2017 | 11 | |
| 6 | The Ethics of Artificial Intelligence in Law: Basic Questions | 2019 | 10 |
| 7 | Structural Rights in Privacy | 2007 | 10 |
| 8 | 2007 | 8 | |
| 9 | 2016 | 6 | |
| 10 | Efficient Uncertainty in Patent Interpretation | 2011 | 2 |
| 11 | Self-Driving Cars, Predictability, and Law | 2016 | 2 |
| 12 | Technological Cost as Law in Intellectual Property | 2013 | 2 |
| 13 | 2022 | 2 | |
| 14 | Bridges II: The Law-STEM Alliance & Next Generation Innovation | 2018 | 1 |
| 15 | AI Loyalty by Design: A Framework for Governance of AI | 2021 | 1 |
| 16 | 2011 | 1 | |
| 17 | 2025 | 0 |
About Harry Surden
Harry Surden is a scholar working on Political Science and International Relations, Artificial Intelligence, Law, Safety Research and Management of Technology and Innovation, having authored 17 papers that have together received 244 indexed citations. Recurring topics across this work include Artificial Intelligence in Law (8 papers), Law, AI, and Intellectual Property (4 papers), Ethics and Social Impacts of AI (3 papers), Energy, Environment, and Transportation Policies (2 papers), Legal Education and Practice Innovations (2 papers), Legal and Constitutional Studies (2 papers), Intellectual Property and Patents (2 papers) and Legal Systems and Judicial Processes (2 papers). The work is most often cited by research in Safety Research (80 citations), Health Informatics (12 citations), Law (48 citations), Political Science and International Relations (90 citations) and Artificial Intelligence (89 citations). Harry Surden has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Mary‐Anne Williams, Michael Genesereth, Daryl Lim, Jay P. Kesan, D. Daniel Sokol, Jacob S. Sherkow, Christopher S. Yoo, Pierre Larouche, David L. Schwartz and Anthony Aguirre. Their work appears in journals such as IEEE Technology and Society Magazine, Washington and Lee law review, Washington law review, SSRN Electronic Journal and eYLS (Yale Law School).
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.