Harry Surden

539 total citations
17 papers, 244 citations indexed

About

Harry Surden is a scholar working on Political Science and International Relations, Artificial Intelligence and Law. According to data from OpenAlex, Harry Surden has authored 17 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Political Science and International Relations, 6 papers in Artificial Intelligence and 5 papers in Law. Recurrent topics in Harry Surden's work include Artificial Intelligence in Law (8 papers), Law, AI, and Intellectual Property (4 papers) and Ethics and Social Impacts of AI (3 papers). Harry Surden is often cited by papers focused on Artificial Intelligence in Law (8 papers), Law, AI, and Intellectual Property (4 papers) and Ethics and Social Impacts of AI (3 papers). Harry Surden collaborates with scholars based in United States, Australia and Canada. Harry Surden's co-authors include Mary‐Anne Williams, Michael Genesereth, D. Daniel Sokol, Pierre Larouche, Anthony Aguirre, Jacob S. Sherkow, Jay P. Kesan, Peter B. Reiner, David L. Schwartz and Daryl Lim and has published in prestigious journals such as IEEE Technology and Society Magazine, Washington law review and Washington and Lee law review.

In The Last Decade

Harry Surden

16 papers receiving 220 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Harry Surden United States 8 90 89 80 48 24 17 244
Francesca Lagioia Italy 10 55 0.6× 135 1.5× 111 1.4× 31 0.6× 21 0.9× 32 261
Giuseppe Contissa Italy 8 35 0.4× 78 0.9× 71 0.9× 18 0.4× 25 1.0× 28 195
Rebecca Crootof United Kingdom 8 67 0.7× 48 0.5× 79 1.0× 10 0.2× 14 0.6× 21 174
Ildar Begishev Russia 9 66 0.7× 87 1.0× 77 1.0× 65 1.4× 5 0.2× 66 253
Aleš Završník Slovenia 6 80 0.9× 70 0.8× 91 1.1× 39 0.8× 11 0.5× 11 257
Martin Ebers Estonia 7 40 0.4× 65 0.7× 63 0.8× 55 1.1× 3 0.1× 35 191
Зарина Хисамова Russia 10 56 0.6× 81 0.9× 71 0.9× 54 1.1× 3 0.1× 28 221
Federico Casolari Italy 8 67 0.7× 79 0.9× 78 1.0× 38 0.8× 3 0.1× 28 247
Johann Laux United Kingdom 8 44 0.5× 116 1.3× 154 1.9× 26 0.5× 8 0.3× 16 318
Claudio Novelli Italy 9 20 0.2× 132 1.5× 177 2.2× 25 0.5× 10 0.4× 29 356

Countries citing papers authored by Harry Surden

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Harry Surden

This figure shows the co-authorship network connecting the top 25 collaborators of Harry Surden. A scholar is included among the top collaborators of Harry Surden 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 Harry Surden. Harry Surden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
2.
Surden, Harry. (2022). Values Embedded in Legal Artificial Intelligence. IEEE Technology and Society Magazine. 41(1). 66–74. 2 indexed citations
3.
Aguirre, Anthony, et al.. (2021). AI Loyalty by Design: A Framework for Governance of AI. 1 indexed citations
4.
Surden, Harry. (2019). Artificial Intelligence and Law: An Overview. Georgia State University law review. 35(4). 15109. 76 indexed citations
5.
Surden, Harry. (2019). The Ethics of Artificial Intelligence in Law: Basic Questions. 10 indexed citations
6.
Schwartz, David L., Jay P. Kesan, Pierre Larouche, et al.. (2018). Bridges II: The Law-STEM Alliance & Next Generation Innovation. 112. 133. 1 indexed citations
7.
Surden, Harry. (2017). Values Embedded in Legal Artificial Intelligence. SSRN Electronic Journal. 11 indexed citations
8.
Surden, Harry & Mary‐Anne Williams. (2016). Technological Opacity, Predictability, and Self-Driving Cars. eYLS (Yale Law School). 15 indexed citations
9.
Surden, Harry & Mary‐Anne Williams. (2016). Self-Driving Cars, Predictability, and Law. SSRN Electronic Journal. 2 indexed citations
10.
Surden, Harry & Mary‐Anne Williams. (2016). How Self-Driving Cars Work. SSRN Electronic Journal. 6 indexed citations
11.
Surden, Harry & Mary‐Anne Williams. (2016). Technological Opacity, Predictability, and Self-Driving Cars. SSRN Electronic Journal. 34 indexed citations
12.
Surden, Harry. (2014). Machine Learning and Law. Washington law review. 89(1). 87. 63 indexed citations
13.
Surden, Harry. (2013). Technological Cost as Law in Intellectual Property. eYLS (Yale Law School). 2 indexed citations
14.
Surden, Harry. (2011). Efficient Uncertainty in Patent Interpretation. Washington and Lee law review. 68(4). 1737. 2 indexed citations
15.
Surden, Harry. (2011). The Variable Determinacy Thesis. eYLS (Yale Law School). 12. 1–91. 1 indexed citations
16.
Surden, Harry, et al.. (2007). Representational complexity in law. 193–194. 8 indexed citations
17.
Surden, Harry. (2007). Structural Rights in Privacy. eYLS (Yale Law School). 10 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026