Peter Hase
Impact in
- Artificial Intelligence top 5%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
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- Ethics and Social Impacts of AI
Papers in
-
- Topic Modeling 6
- Explainable Artificial Intelligence (XAI) 6
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 2
- Speech Recognition and Synthesis 1
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Mohit Bansal (10 shared papers)Oscar Li (1 shared paper)Chaofan Chen (1 shared paper)Cynthia D Rudin (1 shared paper)Shiyue Zhang (1 shared paper)Nazneen Fatema Rajani (2 shared papers)Caiming Xiong (1 shared paper)Han Guo (1 shared paper)
- Journals
- arXiv (Cornell University) (2 papers)Conference of the European Chapter of the Association for Computational Linguistics (2 papers)neural information processing systems (2 papers)Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) (1 paper)Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (1 paper)
- Partner nations
- United States
In The Last Decade
Peter Hase
10 papers receiving 441 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 395
- Safety Research 18
- Computer Vision and Pattern Recognition 30
- Health Informatics 2
- Information Systems 13
Countries citing papers authored by Peter Hase
This map shows the geographic impact of Peter Hase'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 Peter Hase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Hase more than expected).
Fields of papers citing papers by Peter Hase
This network shows the impact of papers produced by Peter Hase. 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 Peter Hase. The network helps show where Peter Hase may publish in the future.
Co-authors
The 20 scholars most cited alongside Peter Hase, 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 | 2020 | 166 | |
| 2 | 2019 | 85 | |
| 3 | 2023 | 50 | |
| 4 | 2020 | 42 | |
| 5 | 2021 | 36 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 |
About Peter Hase
Peter Hase is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 452 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Explainable Artificial Intelligence (XAI) (6 papers), Natural Language Processing Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Speech Recognition and Synthesis (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Artificial Intelligence (395 citations), Safety Research (18 citations), Computer Vision and Pattern Recognition (30 citations), Health Informatics (2 citations) and Information Systems (13 citations). Peter Hase has collaborated with scholars based in United States. Frequent co-authors include Mohit Bansal, Oscar Li, Chaofan Chen, Cynthia D Rudin, Shiyue Zhang, Nazneen Fatema Rajani, Caiming Xiong, Han Guo, Asma Ghandeharioun and Mohit Bansal. Their work appears in journals such as arXiv (Cornell University), Conference of the European Chapter of the Association for Computational Linguistics, neural information processing systems, Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) and Proceedings of the AAAI Conference on Human Computation and Crowdsourcing.
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.