Thilo Hagendorff
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 1%
- Ethics and Social Impacts of AI
Papers in
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- Ethics and Social Impacts of AI 16
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- Explainable Artificial Intelligence (XAI) 7
- Adversarial Robustness in Machine Learning 5
- Law, AI, and Intellectual Property 3
- Co-authors
- Sarah Fabi (2 shared papers)Michał Kosiński (1 shared paper)David Danks (1 shared paper)Peter Singer (1 shared paper)Helle Collatz Christensen (1 shared paper)Sune Holm (2 shared papers)Vince I. Madai (2 shared papers)Julia Amann (2 shared papers)
- Journals
- AI & Society (3 papers)Minds and Machines (3 papers)Philosophy & Technology (2 papers)Ethics and Information Technology (1 paper)Technology in Society (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Thilo Hagendorff
31 papers receiving 797 citations
Thilo Hagendorff's Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 166
- Safety Research 280
- General Decision Sciences 16
- Artificial Intelligence 272
- Family Practice 12
Countries citing papers authored by Thilo Hagendorff
This map shows the geographic impact of Thilo Hagendorff'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 Thilo Hagendorff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thilo Hagendorff more than expected).
Fields of papers citing papers by Thilo Hagendorff
This network shows the impact of papers produced by Thilo Hagendorff. 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 Thilo Hagendorff. The network helps show where Thilo Hagendorff may publish in the future.
Co-authors
The 25 scholars most cited alongside Thilo Hagendorff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 129 | |
| 2 | Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT Hit paper breakdown → | 2023 | 110 |
| 3 | 2019 | 72 | |
| 4 | 2021 | 59 | |
| 5 | 2022 | 57 | |
| 6 | 2024 | 48 | |
| 7 | 2022 | 39 | |
| 8 | 2024 | 37 | |
| 9 | From Principles to Practice. An interdisciplinary framework to operationalise AI ethics. | 2020 | 33 |
| 10 | 2021 | 27 | |
| 11 | Artificial Intelligence Governance and Ethics : Global Perspectives | 2019 | 26 |
| 12 | 2021 | 24 | |
| 13 | 2022 | 21 | |
| 14 | 2021 | 18 | |
| 15 | 2023 | 15 | |
| 16 | 2023 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2020 | 14 | |
| 19 | 2022 | 13 | |
| 20 | Privacy Literacy and Its Problems | 2018 | 13 |
About Thilo Hagendorff
Thilo Hagendorff is a scholar working on Safety Research, Artificial Intelligence, Cognitive Neuroscience, Sociology and Political Science and Social Psychology, having authored 32 papers that have together received 835 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (16 papers), Explainable Artificial Intelligence (XAI) (7 papers), Psychology of Moral and Emotional Judgment (6 papers), Adversarial Robustness in Machine Learning (5 papers), Neuroethics, Human Enhancement, Biomedical Innovations (5 papers), Law, AI, and Intellectual Property (3 papers), Privacy, Security, and Data Protection (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (166 citations), Safety Research (280 citations), General Decision Sciences (16 citations), Artificial Intelligence (272 citations) and Family Practice (12 citations). Thilo Hagendorff has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sarah Fabi, Michał Kosiński, David Danks, Peter Singer, Helle Collatz Christensen, Sune Holm, Vince I. Madai, Julia Amann, Thomas Krendl Gilbert and Roberto V. Zicari. Their work appears in journals such as AI & Society, Minds and Machines, Philosophy & Technology, Ethics and Information Technology and Technology in Society.
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.