Jonas Schuett

767 total citations
13 papers, 310 citations indexed

About

Jonas Schuett is a scholar working on Safety Research, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Jonas Schuett has authored 13 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Safety Research, 7 papers in Artificial Intelligence and 5 papers in Health Informatics. Recurrent topics in Jonas Schuett's work include Ethics and Social Impacts of AI (10 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Law, AI, and Intellectual Property (5 papers). Jonas Schuett is often cited by papers focused on Ethics and Social Impacts of AI (10 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Law, AI, and Intellectual Property (5 papers). Jonas Schuett collaborates with scholars based in Germany, Canada and United States. Jonas Schuett's co-authors include Jakob Mökander, Hannah Rose Kirk, Luciano Floridi, Seth D. Baum, Peter Cihon, Alexis Carlier, Christoph Winter, Jeff Sebo, Markus Anderljung and Cullen O’Keefe and has published in prestigious journals such as Risk Analysis, AI & Society and Information.

In The Last Decade

Jonas Schuett

11 papers receiving 287 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jonas Schuett Germany	8	145	131	59	41	39	13	310
Claudio Novelli Italy	9	177 1.2×	132 1.0×	44 0.7×	49 1.2×	43 1.1×	29	356
Johann Laux United Kingdom	8	154 1.1×	116 0.9×	43 0.7×	56 1.4×	47 1.2×	16	318
Reuben Binns United Kingdom	4	216 1.5×	155 1.2×	39 0.7×	86 2.1×	45 1.2×	8	373
Michelle Seng Ah Lee United Kingdom	9	248 1.7×	153 1.2×	44 0.7×	61 1.5×	62 1.6×	18	357
Jess Whittlestone United Kingdom	7	224 1.5×	130 1.0×	77 1.3×	60 1.5×	40 1.0×	10	357
Matthew Scherer United States	4	139 1.0×	104 0.8×	41 0.7×	68 1.7×	50 1.3×	9	352
Nina Grgić-Hlača Germany	10	308 2.1×	208 1.6×	45 0.8×	91 2.2×	53 1.4×	15	447
Emmie Hine Italy	10	136 0.9×	88 0.7×	28 0.5×	77 1.9×	46 1.2×	33	333
Birte Keller Germany	4	134 0.9×	61 0.5×	44 0.7×	66 1.6×	34 0.9×	7	227
Kelly Laas United States	6	135 0.9×	41 0.3×	39 0.7×	44 1.1×	32 0.8×	17	238

Countries citing papers authored by Jonas Schuett

Since Specialization

Citations

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

Fields of papers citing papers by Jonas Schuett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Schuett

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

All Works

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13 of 13 papers shown

1.

Schuett, Jonas, et al.. (2025). On Regulating Downstream AI Developers. European Journal of Risk Regulation. 17(1). 94–122. 1 indexed citations

2.

Schuett, Jonas, et al.. (2025). A Grading Rubric for AI Safety Frameworks. 2(5).

3.

Schuett, Jonas. (2024). Frontier AI developers need an internal audit function. Risk Analysis. 45(6). 1332–1352. 2 indexed citations

4.

Schuett, Jonas, et al.. (2024). How to design an AI ethics board. AI and Ethics. 5(2). 863–881. 12 indexed citations

5.

Schuett, Jonas. (2023). Three lines of defense against risks from AI. AI & Society. 40(2). 493–507. 16 indexed citations

6.

Schuett, Jonas. (2023). Risk Management in the Artificial Intelligence Act. European Journal of Risk Regulation. 15(2). 367–385. 41 indexed citations

7.

Mökander, Jakob, Jonas Schuett, Hannah Rose Kirk, & Luciano Floridi. (2023). Auditing Large Language Models: A Three-Layered Approach. SSRN Electronic Journal. 41 indexed citations

8.

Mökander, Jakob, Jonas Schuett, Hannah Rose Kirk, & Luciano Floridi. (2023). Auditing large language models: a three-layered approach. AI and Ethics. 4(4). 1085–1115. 93 indexed citations

9.

Schuett, Jonas, et al.. (2023). Risk assessment at AGI companies: A review of popular risk assessment techniques from other safety-critical industries. arXiv (Cornell University). 6 indexed citations

10.

Schuett, Jonas. (2023). Defining the scope of AI regulations. Law Innovation and Technology. 15(1). 60–82. 23 indexed citations

11.

Winter, Christoph, et al.. (2021). Legal Priorities Research: A Research Agenda. SSRN Electronic Journal. 3 indexed citations

12.

Cihon, Peter, Jonas Schuett, & Seth D. Baum. (2021). Corporate Governance of Artificial Intelligence in the Public Interest. Information. 12(7). 275–275. 52 indexed citations

13.

Schuett, Jonas. (2019). Defining the Scope of AI Regulations. SSRN Electronic Journal. 20 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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