Rainer Mühlhoff

1.3k total citations
28 papers, 453 citations indexed

About

Rainer Mühlhoff is a scholar working on Safety Research, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Rainer Mühlhoff has authored 28 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Safety Research, 9 papers in Sociology and Political Science and 7 papers in Artificial Intelligence. Recurrent topics in Rainer Mühlhoff's work include Ethics and Social Impacts of AI (11 papers), Privacy-Preserving Technologies in Data (5 papers) and Posthumanist Ethics and Activism (3 papers). Rainer Mühlhoff is often cited by papers focused on Ethics and Social Impacts of AI (11 papers), Privacy-Preserving Technologies in Data (5 papers) and Posthumanist Ethics and Activism (3 papers). Rainer Mühlhoff collaborates with scholars based in Germany, United Kingdom and United States. Rainer Mühlhoff's co-authors include Felix Creutzig, Jan Slaby, Laura Kemmer and Ben Anderson and has published in prestigious journals such as Environmental Research Letters, New Media & Society and Emotion Review.

In The Last Decade

Rainer Mühlhoff

24 papers receiving 411 citations

Peers

Rainer Mühlhoff
Peta Mitchell Australia
Philippe Sormani Switzerland
Pete Fussey United Kingdom
Jason Patton United States
Peta Mitchell Australia
Rainer Mühlhoff
Citations per year, relative to Rainer Mühlhoff Rainer Mühlhoff (= 1×) peers Peta Mitchell

Countries citing papers authored by Rainer Mühlhoff

Since Specialization
Citations

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

Fields of papers citing papers by Rainer Mühlhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rainer Mühlhoff

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

All Works

20 of 20 papers shown
1.
Mühlhoff, Rainer, et al.. (2025). Updating purpose limitation for AI: a normative approach from law and philosophy. International Journal of Law and Information Technology. 33. 1 indexed citations
2.
Mühlhoff, Rainer, et al.. (2024). Predictive analytics and the collective dimensions of data protection. Law Innovation and Technology. 16(1). 261–292. 3 indexed citations
3.
Mühlhoff, Rainer, et al.. (2024). Updating Purpose Limitation for AI: A normative approach from law and philosophy. SSRN Electronic Journal. 1 indexed citations
4.
Mühlhoff, Rainer, et al.. (2024). Regulating AI with Purpose Limitation for Models. 1(1). 24–39. 2 indexed citations
5.
Mühlhoff, Rainer, et al.. (2023). Social media advertising for clinical studies: Ethical and data protection implications of online targeting. Big Data & Society. 10(1). 14 indexed citations
6.
Mühlhoff, Rainer, et al.. (2023). Democratising AI via Purpose Limitation for Models. SSRN Electronic Journal.
7.
Mühlhoff, Rainer. (2023). Predictive privacy: Collective data protection in the context of artificial intelligence and big data. Big Data & Society. 10(1). 15 indexed citations
8.
Mühlhoff, Rainer. (2023). Die Macht der Daten. V&R unipress eBooks. 1 indexed citations
9.
Mühlhoff, Rainer. (2020). Affective Disposition, or: Reading Spinoza With Foucault. Towards an Affect Theory of Subjectivation and Power. SSRN Electronic Journal. 1 indexed citations
10.
Mühlhoff, Rainer, et al.. (2020). Das Verfahren geht weit über „die App“ hinaus – Datenschutzfragen von Corona-Tracing-Apps. Informatik-Spektrum. 43(5). 334–338. 2 indexed citations
12.
Mühlhoff, Rainer. (2020). Predictive Privacy: Towards an Applied Ethics of Data Analytics. SSRN Electronic Journal. 8 indexed citations
13.
Slaby, Jan, et al.. (2019). Affekt Macht Netz. Directory of Open access Books (OAPEN Foundation). 4 indexed citations
14.
Mühlhoff, Rainer. (2019). Human-Aided Artificial Intelligence: Or, How to Run Large Computations in Human Brains? Towards a Media Sociology of Machine Learning. SSRN Electronic Journal. 1 indexed citations
15.
Mühlhoff, Rainer, et al.. (2019). Affekt Macht Netz. Auf dem Weg zu einer Sozialtheorie der Digitalen Gesellschaft (Hg. Breljak/ Mühlhoff/ Slaby). PhilPapers (PhilPapers Foundation). 1 indexed citations
17.
Mühlhoff, Rainer. (2019). Human-aided artificial intelligence: Or, how to run large computations in human brains? Toward a media sociology of machine learning. New Media & Society. 22(10). 1868–1884. 49 indexed citations
18.
Mühlhoff, Rainer. (2019). Menschengestützte Künstliche Intelligenz. Über die soziotechnischen Voraussetzungen von «deep learning». MEDIAREP. 11(2). 56–64. 1 indexed citations
19.
Slaby, Jan, et al.. (2017). Affective Arrangements. Emotion Review. 11(1). 3–12. 94 indexed citations
20.
Mühlhoff, Rainer. (2014). Affective resonance and social interaction. Phenomenology and the Cognitive Sciences. 14(4). 1001–1019. 61 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.

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