Atticus Geiger
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Explainable Artificial Intelligence (XAI)
- Domain Adaptation and Few-Shot Learning
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
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- Ethics and Social Impacts of AI
Papers in
-
- Topic Modeling 8
- Explainable Artificial Intelligence (XAI) 8
- Natural Language Processing Techniques 7
- Sentiment Analysis and Opinion Mining 3
- Domain Adaptation and Few-Shot Learning 1
- Bayesian Modeling and Causal Inference 1
- Neural Networks and Applications 1
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- Cognitive and developmental aspects of mathematical skills 1
- Co-authors
- Christopher E. Potts (14 shared papers)Zhengxuan Wu (8 shared papers)Douwe Kiela (2 shared papers)Kyle Richardson (1 shared paper)Max Bartolo (1 shared paper)Grusha Prasad (1 shared paper)Divyansh Kaushik (1 shared paper)Zeerak Talat (1 shared paper)
- Journals
- Psychological Review (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (4 papers)arXiv (Cornell University) (4 papers)UvA-DARE (University of Amsterdam) (1 paper)Annual Meeting of the Association for Computational Linguistics (ACL) (3 papers)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Atticus Geiger
13 papers receiving 274 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 226
- Safety Research 22
- Health Informatics 4
- Computer Vision and Pattern Recognition 24
- Software 5
Countries citing papers authored by Atticus Geiger
This map shows the geographic impact of Atticus Geiger'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 Atticus Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atticus Geiger more than expected).
Fields of papers citing papers by Atticus Geiger
This network shows the impact of papers produced by Atticus Geiger. 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 Atticus Geiger. The network helps show where Atticus Geiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Atticus Geiger, 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 | 153 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 33 | |
| 4 | 2019 | 24 | |
| 5 | 2022 | 8 | |
| 6 | 2023 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2022 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 |
About Atticus Geiger
Atticus Geiger is a scholar working on Artificial Intelligence, Statistics and Probability, Language and Linguistics, Experimental and Cognitive Psychology and Nuclear Energy and Engineering, having authored 18 papers that have together received 289 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Explainable Artificial Intelligence (XAI) (8 papers), Natural Language Processing Techniques (7 papers), Sentiment Analysis and Opinion Mining (3 papers), Domain Adaptation and Few-Shot Learning (1 paper), Bayesian Modeling and Causal Inference (1 paper), Cognitive and developmental aspects of mathematical skills (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (226 citations), Safety Research (22 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (24 citations) and Software (5 citations). Atticus Geiger has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Christopher E. Potts, Zhengxuan Wu, Douwe Kiela, Kyle Richardson, Max Bartolo, Grusha Prasad, Divyansh Kaushik, Zeerak Talat, Adina Williams and Sebastian Riedel. Their work appears in journals such as Psychological Review, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), arXiv (Cornell University), UvA-DARE (University of Amsterdam) and Annual Meeting of the Association for Computational Linguistics (ACL).
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.