Pamela Samuelson

214 papers receiving 2.1k citations

Pamela Samuelson's Hit Papers

Generative AI meets copyright 2023 · 108 citations
1080+1+2Years since publication255075100

Peers

Pamela Samuelson
Comparison fields: 5 of 135
  • Management of Technology and Innovation 585
  • Marketing 686
  • Computer Science Applications 258
  • Law 324
  • Health Informatics 41
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Julie E. Cohen United States
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Countries citing papers authored by Pamela Samuelson

Since Specialization
Citations

This map shows the geographic impact of Pamela Samuelson'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 Pamela Samuelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Samuelson more than expected).

Fields of papers citing papers by Pamela Samuelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Samuelson. 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 Pamela Samuelson. The network helps show where Pamela Samuelson may publish in the future.

Co-authors

The 25 scholars most cited alongside Pamela Samuelson, 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 Pamela Samuelson Line = papers co-authored together Pamela Samuelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 250 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009184
2 2002149
3 2000144
4 1994111
5
Generative AI meets copyright
Hit paper breakdown →
2023108
6 2003101
7 1994101
8
Michigan Telecommunications and Technology Law Review
200690
9 199984
10
Intellectual Property Rights in Data
199765
11 201155
12
Allocating Ownership Rights in Computer-Generated Works
198551
13
The Copyright Grab
199647
14 199537
15
Mapping the Digital Public Domain: Threats and Opportunities
200336
16 200635
17 200331
18 200131
19 198429
20
The U.S. Digital Agenda at WIPO
199628

About Pamela Samuelson

Pamela Samuelson is a scholar working on Marketing, Law, Information Systems, Artificial Intelligence and Management of Technology and Innovation, having authored 250 papers that have together received 2.7k indexed citations. Recurring topics across this work include Copyright and Intellectual Property (125 papers), Intellectual Property Law (50 papers), Digital Rights Management and Security (49 papers), Law, AI, and Intellectual Property (44 papers), Intellectual Property and Patents (39 papers), Legal Systems and Judicial Processes (14 papers), Open Source Software Innovations (10 papers) and Privacy, Security, and Data Protection (10 papers). The work is most often cited by research in Management of Technology and Innovation (585 citations), Marketing (686 citations), Computer Science Applications (258 citations), Law (324 citations) and Health Informatics (41 citations). Pamela Samuelson has collaborated with scholars based in United States, United Kingdom and Slovenia. Frequent co-authors include Suzanne Scotchmer, Jerome H. Reichman, Robert P. Merges, Ted M. Sichelman, Stuart J.H. Graham, Randall Davis, Mitchell Kapor, Robert J. Glushko, Hal R. Varian and Jason Schultz. Their work appears in journals such as Communications of the ACM, University of Pittsburgh Law Review, California Law Review, Minnesota law review and Science.

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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