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).
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.
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
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.