Countries citing papers authored by Margot E. Kaminski
Since
Specialization
Citations
This map shows the geographic impact of Margot E. Kaminski'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 Margot E. Kaminski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margot E. Kaminski more than expected).
Fields of papers citing papers by Margot E. Kaminski
This network shows the impact of papers produced by Margot E. Kaminski. 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 Margot E. Kaminski. The network helps show where Margot E. Kaminski may publish in the future.
Co-authorship network of co-authors of Margot E. Kaminski
This figure shows the co-authorship network connecting the top 25 collaborators of Margot E. Kaminski.
A scholar is included among the top collaborators of Margot E. Kaminski 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 Margot E. Kaminski. Margot E. Kaminski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kaminski, Margot E.. (2019). Binary Governance: Lessons from the GDPR’s Approach to Algorithmic Accountability. eYLS (Yale Law School).7 indexed citations
6.
Kaminski, Margot E.. (2018). The GDPR’s Version of Algorithmic Accountability. eYLS (Yale Law School).1 indexed citations
7.
Kaminski, Margot E., et al.. (2017). Averting Robot Eyes. Maryland law review. 76(4). 983.14 indexed citations
8.
Kaminski, Margot E.. (2017). Privacy and the Right to Record. Boston University law review. 97(1). 167.1 indexed citations
9.
Kaminski, Margot E.. (2017). Standing After Snowden: Lessons on Privacy Harm from National Security Surveillance Litigation. The De Paul law review. 66(2). 5.
10.
Massaro, Toni M., et al.. (2017). SIRI-OUSLY 2.0: What Artificial Intelligence Reveals about the First Amendment. Minnesota law review. 101(6). 2481–2525.4 indexed citations
11.
Kaminski, Margot E.. (2017). Authorship, Disrupted: AI Authors in Copyright and First Amendment Law. eYLS (Yale Law School).12 indexed citations
12.
Kaminski, Margot E.. (2015). Robots in the Home: What Will We Have Agreed To?. eYLS (Yale Law School). 51(3). 661–677.6 indexed citations
13.
Kaminski, Margot E., et al.. (2015). The Conforming Effect: First Amendment Implications of Surveillance, Beyond Chilling Speech. University of Richmond law review. 49(2). 465–518.14 indexed citations
14.
Kaminski, Margot E.. (2015). Regulating Real-World Surveillance. Washington law review. 90(3). 1113.1 indexed citations
15.
Kaminski, Margot E.. (2014). The Capture of International Intellectual Property Law Through the U.S. Trade Regime. eYLS (Yale Law School).9 indexed citations
16.
Kaminski, Margot E.. (2013). Real Masks and Real Name Policies: Applying Anti-Mask Case Law to Anonymous Online Speech. eYLS (Yale Law School). 23(3). 815.4 indexed citations
17.
Kaminski, Margot E.. (2012). Positive Proposals for Treatment of Online Intermediaries. American University international law review. 28(1). 6.2 indexed citations
18.
Baker, Brook K., et al.. (2012). The U.S. Proposal for an Intellectual Property Chapter in the Trans-Pacific Partnership Agreement. American University international law review. 28(1). 5.16 indexed citations
Kaminski, Margot E.. (2011). An Overview and the Evolution of the Anti-Counterfeiting Trade Agreement (ACTA). 21(3). 19342.7 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.