Markus Anderljung
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Ethics and Social Impacts of AI 8
-
- Artificial Intelligence in Healthcare and Education 5
- Co-authors
- Michael C. Horowitz (1 shared paper)Allan Dafoe (2 shared papers)Lauren Kahn (2 shared papers)David Krueger (2 shared papers)M. R. Kaufmann (1 shared paper)Alan Chan (1 shared paper)Lennart Heim (2 shared papers)Shahar Avin (1 shared paper)
- Journals
- Journal of Artificial Intelligence Research (1 paper)AI & Society (1 paper)Science (1 paper)European Journal of Risk Regulation (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Markus Anderljung
9 papers receiving 123 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 26
- Safety Research 54
- Artificial Intelligence 51
- Computer Science Applications 7
- Management Information Systems 7
Countries citing papers authored by Markus Anderljung
This map shows the geographic impact of Markus Anderljung'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 Markus Anderljung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Anderljung more than expected).
Fields of papers citing papers by Markus Anderljung
This network shows the impact of papers produced by Markus Anderljung. 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 Markus Anderljung. The network helps show where Markus Anderljung may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Anderljung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2021 | 29 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 11 | |
| 5 | Institutionalizing ethics in AI through broader impact requirements | 2021 | 11 |
| 6 | 2024 | 5 | |
| 7 | 2025 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 0 |
About Markus Anderljung
Markus Anderljung is a scholar working on Safety Research, Health Informatics, Artificial Intelligence, Information Systems and Management Information Systems, having authored 10 papers that have together received 131 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (8 papers), Artificial Intelligence in Healthcare and Education (5 papers), Adversarial Robustness in Machine Learning (3 papers), Blockchain Technology Applications and Security (2 papers), Mobile Crowdsensing and Crowdsourcing (1 paper), Ethics in Clinical Research (1 paper), Law, Economics, and Judicial Systems (1 paper) and Law, AI, and Intellectual Property (1 paper). The work is most often cited by research in Health Informatics (26 citations), Safety Research (54 citations), Artificial Intelligence (51 citations), Computer Science Applications (7 citations) and Management Information Systems (7 citations). Markus Anderljung has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Michael C. Horowitz, Allan Dafoe, Lauren Kahn, David Krueger, M. R. Kaufmann, Alan Chan, Lennart Heim, Shahar Avin, Igor Krawczuk and Adrian Weller. Their work appears in journals such as Journal of Artificial Intelligence Research, AI & Society, Science, European Journal of Risk Regulation and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.