Paul Röttger

583 total citations · 1 hit paper
26 papers, 189 citations indexed

About

Paul Röttger is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Paul Röttger has authored 26 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Sociology and Political Science and 3 papers in Information Systems. Recurrent topics in Paul Röttger's work include Hate Speech and Cyberbullying Detection (10 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Paul Röttger is often cited by papers focused on Hate Speech and Cyberbullying Detection (10 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (5 papers). Paul Röttger collaborates with scholars based in United Kingdom, Italy and United States. Paul Röttger's co-authors include Bertie Vidgen, Hannah Rose Kirk, Scott A. Hale, Dirk Hovy, Debora Nozza, Tristan Thrush, Wenjie Yin, Zeerak Talat, Federico Bianchi and Federico Bianchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Machine Intelligence and ArXiv.org.

In The Last Decade

Paul Röttger

23 papers receiving 180 citations

Hit Papers

The benefits, risks and bounds of personalizing the align... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The benefits, risks and bounds of personalizing the alignment of large language models to individuals
    2024 47 citations Hannah Rose Kirk, Bertie Vidgen et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Röttger United Kingdom 8 132 28 25 21 19 26 189
Shrimai Prabhumoye United States 7 274 2.1× 18 0.6× 28 1.1× 28 1.3× 13 0.7× 10 346
Sunipa Dev United States 7 172 1.3× 56 2.0× 19 0.8× 15 0.7× 14 0.7× 18 249
Simone Conia Italy 10 270 2.0× 21 0.8× 18 0.7× 14 0.7× 19 1.0× 25 352
Omar Ahmed Shaikh Pakistan 2 119 0.9× 14 0.5× 39 1.6× 10 0.5× 17 0.9× 5 208
Emily Sheng United States 6 355 2.7× 38 1.4× 19 0.8× 33 1.6× 12 0.6× 10 420
Hila Gonen United States 9 307 2.3× 20 0.7× 16 0.6× 22 1.0× 5 0.3× 21 357
Su Lin Blodgett United States 8 166 1.3× 51 1.8× 24 1.0× 22 1.0× 3 0.2× 23 230
Lea Frermann Australia 7 180 1.4× 13 0.5× 10 0.4× 13 0.6× 10 0.5× 34 229
Joe Barrow United States 5 134 1.0× 17 0.6× 20 0.8× 26 1.2× 9 0.5× 9 210
Maximilian Wich Germany 8 205 1.6× 9 0.3× 59 2.4× 29 1.4× 23 1.2× 14 268

Countries citing papers authored by Paul Röttger

Since Specialization
Citations

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

Fields of papers citing papers by Paul Röttger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Röttger

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Röttger. A scholar is included among the top collaborators of Paul Röttger 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 Paul Röttger. Paul Röttger 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.
Röttger, Paul, et al.. (2025). Around the World in 24 Hours: Probing LLM Knowledge of Time and Place. 22875–22897.
2.
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Tappin, Ben M, et al.. (2025). Scaling language model size yields diminishing returns for single-message political persuasion. Proceedings of the National Academy of Sciences. 122(10). e2413443122–e2413443122. 4 indexed citations
4.
5.
Wang, Xinpeng, Leon Weber, Paul Röttger, et al.. (2024). “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. 7407–7416. 5 indexed citations
6.
7.
Röttger, Paul, Hannah Rose Kirk, Bertie Vidgen, et al.. (2024). XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. BOA (University of Milano-Bicocca). 5377–5400. 10 indexed citations
8.
Röttger, Paul, et al.. (2024). Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ. 4476–4494. 3 indexed citations
9.
Jin, Woojeong, et al.. (2024). Improving Covert Toxicity Detection by Retrieving and Generating References. 266–274. 2 indexed citations
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Röttger, Paul, et al.. (2024). SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety. arXiv (Cornell University). 2 indexed citations
12.
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Fraiberger, Samuel P., et al.. (2024). From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets. 283–311. 2 indexed citations
14.
Kirk, Hannah Rose, Wenjie Yin, Bertie Vidgen, & Paul Röttger. (2023). SemEval-2023 Task 10: Explainable Detection of Online Sexism. 2193–2210. 21 indexed citations
15.
Vidgen, Bertie, et al.. (2023). Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore. 12705–12721. 2 indexed citations
16.
Röttger, Paul, et al.. (2023). The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics. 1017–1029. 1 indexed citations
17.
Kirk, Hannah Rose, Andrew Bean, Bertie Vidgen, Paul Röttger, & Scott A. Hale. (2023). The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values. 2409–2430. 7 indexed citations
18.
Vidgen, Bertie, et al.. (2023). Tracking Abuse on Twitter Against Football Players in the 2021 – 22 Premier League Season. SSRN Electronic Journal. 2 indexed citations
19.
Röttger, Paul, Debora Nozza, Federico Bianchi, & Dirk Hovy. (2022). Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages. 5674–5691. 10 indexed citations
20.
Kirk, Hannah Rose, Bertie Vidgen, Paul Röttger, Tristan Thrush, & Scott A. Hale. (2022). Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1352–1368. 24 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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