Markus Anderljung

900 total citations
10 papers, 120 citations indexed

About

Markus Anderljung is a scholar working on Safety Research, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Markus Anderljung has authored 10 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Safety Research, 5 papers in Health Informatics and 5 papers in Artificial Intelligence. Recurrent topics in Markus Anderljung's work include Ethics and Social Impacts of AI (8 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Markus Anderljung is often cited by papers focused on Ethics and Social Impacts of AI (8 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Adversarial Robustness in Machine Learning (3 papers). Markus Anderljung collaborates with scholars based in Canada, United Kingdom and United States. Markus Anderljung's co-authors include Michael C. Horowitz, Allan Dafoe, David Krueger, Gretchen Krueger, Igor Krawczuk, Noa Zilberman, Kevin Wei, Carina Prunkl, Shahar Avin and Miles Brundage and has published in prestigious journals such as Science, Journal of Artificial Intelligence Research and AI & Society.

In The Last Decade

Markus Anderljung

8 papers receiving 111 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Anderljung Canada	5	54	49	26	13	12	10	120
David Madras Canada	4	52 1.0×	88 1.8×	19 0.7×	7 0.5×	11 0.9×	9	133
Ville Vakkuri Finland	5	94 1.7×	57 1.2×	49 1.9×	23 1.8×	10 0.8×	10	143
Isabel O. Gallegos United States	3	17 0.3×	79 1.6×	21 0.8×	5 0.4×	17 1.4×	6	156
Saffron Huang United Kingdom	2	29 0.5×	103 2.1×	17 0.7×	11 0.8×	9 0.8×	2	145
Charlotte Stix Netherlands	4	69 1.3×	31 0.6×	21 0.8×	24 1.8×	19 1.6×	6	106
John C. Havens Australia	4	46 0.9×	35 0.7×	9 0.3×	12 0.9×	18 1.5×	8	101
Kai‐Kristian Kemell Finland	6	89 1.6×	48 1.0×	42 1.6×	22 1.7×	17 1.4×	22	154
Nripsuta Ani Saxena United States	5	106 2.0×	82 1.7×	15 0.6×	30 2.3×	46 3.8×	7	158
Vijay Keswani United States	3	73 1.4×	86 1.8×	9 0.3×	6 0.5×	11 0.9×	10	125
Pradyumna Tambwekar United States	5	45 0.8×	152 3.1×	31 1.2×	3 0.2×	9 0.8×	10	190

Countries citing papers authored by Markus Anderljung

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Markus Anderljung

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 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.

Bhatt, Umang, et al.. (2025). Towards Interactive Evaluations for Interaction Harms in Human-AI Systems. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 8(2). 1302–1310. 1 indexed citations

3.

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

4.

Kaufmann, M. R., Kevin Wei, Emma Bluemke, et al.. (2024). Visibility into AI Agents. 958–973. 20 indexed citations

5.

Anderljung, Markus, Kevin M. Esvelt, Gillian K. Hadfield, et al.. (2024). Responsible Reporting for Frontier AI Development. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 768–783. 4 indexed citations

6.

Anderljung, Markus, et al.. (2024). Protecting society from AI misuse: when are restrictions on capabilities warranted?. AI & Society. 40(5). 3841–3857. 9 indexed citations

7.

Zhang, Baobao, et al.. (2022). Ethics and Governance of Artificial Intelligence: A Survey of Machine Learning Researchers (Extended Abstract). Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5787–5791. 3 indexed citations

8.

Anderljung, Markus, et al.. (2021). Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers. Journal of Artificial Intelligence Research. 71. 45 indexed citations

9.

Prunkl, Carina, et al.. (2021). Institutionalizing ethics in AI through broader impact requirements. Oxford University Research Archive (ORA) (University of Oxford). 11 indexed citations

10.

Avin, Shahar, Haydn Belfield, Miles Brundage, et al.. (2021). Filling gaps in trustworthy development of AI. Science. 374(6573). 1327–1329. 26 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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