Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Regulating ChatGPT and other Large Generative AI Models
2023207 citationsPhilipp Hacker, Andreas Engel et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Philipp Hacker
Since
Specialization
Citations
This map shows the geographic impact of Philipp Hacker'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 Philipp Hacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Hacker more than expected).
This network shows the impact of papers produced by Philipp Hacker. 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 Philipp Hacker. The network helps show where Philipp Hacker may publish in the future.
Co-authorship network of co-authors of Philipp Hacker
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Hacker.
A scholar is included among the top collaborators of Philipp Hacker 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 Philipp Hacker. Philipp Hacker is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hacker, Philipp, et al.. (2018). Regulating Blockchain: Techno-Social and Legal Challenges - An Introduction. SSRN Electronic Journal.5 indexed citations
14.
Hacker, Philipp. (2018). Crypto-Securities Regulation: ICOs, Token Sales and Cryptocurrencies under EU Financial Law (European Company and Financial Law Review 2018, 645-696). European Company and Financial Law Review.1 indexed citations
15.
Hacker, Philipp, et al.. (2017). Learning and the Law: Improving Behavioral Regulation from an International and Comparative Perspective. Journal of law and policy. 25(2). 473.3 indexed citations
16.
Hacker, Philipp, et al.. (2017). Reining in the Big Promise of Big Data: Transparency, Inequality, and New Regulatory Frontiers. Data Archiving and Networked Services (DANS). 15(1). 1.4 indexed citations
17.
Hacker, Philipp. (2017). Personalizing EU Private Law: From Disclosures to Nudges and Mandates. European Review of Private Law/Revue européenne de droit privé/Europäische Zeitschrift für Privatrecht. 25(3). 651–677.3 indexed citations
18.
Grundmann, Stefan & Philipp Hacker. (2017). Digital Technology as a Challenge to European Contract Law – From the Existing to the Future Architecture. SSRN Electronic Journal.5 indexed citations
19.
Hacker, Philipp. (2017). Personal Data, Exploitative Contracts, and Algorithmic Fairness: Autonomous Vehicles Meet the Internet of Things. SSRN Electronic Journal.1 indexed citations
20.
Hacker, Philipp. (2016). More Behavioral vs. More Economic Approach: Explaining the Behavioral Divide between the United States and the European Union. Hastings international and comparative law review. 39(2). 355.1 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.