Valentin Hofmann
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Ethics and Social Impacts of AI
Papers in
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- Natural Language Processing Techniques 9
- Topic Modeling 8
- Speech and dialogue systems 3
- Speech Recognition and Synthesis 1
- Hate Speech and Cyberbullying Detection 1
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- Language and cultural evolution 5
- Co-authors
- Pratyusha Kalluri (1 shared paper)Dan Jurafsky (1 shared paper)Sharese King (1 shared paper)Janet B. Pierrehumbert (8 shared papers)Hinrich Schütze (7 shared papers)Hinrich Schuetze (4 shared papers)Xiaowen Dong (1 shared paper)Paul Röttger (1 shared paper)
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Frontiers in Artificial Intelligence (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)Open access LMU (Ludwid Maxmilian's Universitat Munchen) (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Valentin Hofmann
13 papers receiving 154 citations
Valentin Hofmann's Hit Papers
Peers
Comparison fields: 5 of 51
- Health Informatics 18
- Safety Research 20
- Artificial Intelligence 79
- General Social Sciences 7
- Cultural Studies 10
Countries citing papers authored by Valentin Hofmann
This map shows the geographic impact of Valentin Hofmann'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 Valentin Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Hofmann more than expected).
Fields of papers citing papers by Valentin Hofmann
This network shows the impact of papers produced by Valentin Hofmann. 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 Valentin Hofmann. The network helps show where Valentin Hofmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Valentin Hofmann, 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 | AI generates covertly racist decisions about people based on their dialect Hit paper breakdown → | 2024 | 80 |
| 2 | 2024 | 17 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 7 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | Superbizarre Is Not Superb: Improving BERT's Interpretations of Complex Words with Derivational Morphology. | 2021 | 1 |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Valentin Hofmann
Valentin Hofmann is a scholar working on Artificial Intelligence, Cultural Studies, Statistical and Nonlinear Physics, Communication and Political Science and International Relations, having authored 16 papers that have together received 158 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers), Language and cultural evolution (5 papers), Opinion Dynamics and Social Influence (3 papers), Speech and dialogue systems (3 papers), Social Media and Politics (2 papers), Speech Recognition and Synthesis (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Health Informatics (18 citations), Safety Research (20 citations), Artificial Intelligence (79 citations), General Social Sciences (7 citations) and Cultural Studies (10 citations). Valentin Hofmann has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Pratyusha Kalluri, Dan Jurafsky, Sharese King, Janet B. Pierrehumbert, Hinrich Schütze, Hinrich Schuetze, Xiaowen Dong, Paul Röttger, Hannah Rose Kirk and Dirk Hovy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Frontiers in Artificial Intelligence, Proceedings of the International AAAI Conference on Web and Social Media and Open access LMU (Ludwid Maxmilian's Universitat Munchen).
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.