Philipp Dufter
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Advanced Graph Neural Networks
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Hate Speech and Cyberbullying Detection
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 15
- Topic Modeling 15
- Text Readability and Simplification 4
- Speech Recognition and Synthesis 2
- Speech and dialogue systems 1
- Advanced Graph Neural Networks 1
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- Multimodal Machine Learning Applications 3
- Co-authors
- Hinrich Schütze (14 shared papers)Martin Schmitt (4 shared papers)François Yvon (2 shared papers)Leonardo F. R. Ribeiro (2 shared papers)Mengjie Zhao (2 shared papers)Iryna Gurevych (2 shared papers)Alexander Fraser (1 shared paper)Yadollah Yaghoobzadeh (1 shared paper)
- Journals
- Computational Linguistics (1 paper)Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)arXiv (Cornell University) (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Philipp Dufter
16 papers receiving 198 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 152
- Computer Vision and Pattern Recognition 66
- Health Informatics 3
- General Social Sciences 4
- Human Factors and Ergonomics 2
Countries citing papers authored by Philipp Dufter
This map shows the geographic impact of Philipp Dufter'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 Philipp Dufter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Dufter more than expected).
Fields of papers citing papers by Philipp Dufter
This network shows the impact of papers produced by Philipp Dufter. 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 Philipp Dufter. The network helps show where Philipp Dufter may publish in the future.
Co-authors
The 22 scholars most cited alongside Philipp Dufter, 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 | 2022 | 84 | |
| 2 | 2020 | 31 | |
| 3 | 2020 | 20 | |
| 4 | 2020 | 18 | |
| 5 | 2021 | 11 | |
| 6 | 2018 | 11 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 2 | |
| 15 | A Universal Semantic Space. | 2018 | 1 |
| 16 | 2021 | 1 | |
| 17 | 2022 | 0 |
About Philipp Dufter
Philipp Dufter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Infectious Diseases and Organic Chemistry, having authored 17 papers that have together received 206 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers), Text Readability and Simplification (4 papers), Multimodal Machine Learning Applications (3 papers), Speech Recognition and Synthesis (2 papers), Speech and dialogue systems (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Artificial Intelligence (152 citations), Computer Vision and Pattern Recognition (66 citations), Health Informatics (3 citations), General Social Sciences (4 citations) and Human Factors and Ergonomics (2 citations). Philipp Dufter has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hinrich Schütze, Martin Schmitt, François Yvon, Leonardo F. R. Ribeiro, Mengjie Zhao, Iryna Gurevych, Alexander Fraser, Yadollah Yaghoobzadeh, Sheng Liang and Martin Schmitt. Their work appears in journals such as Computational Linguistics, Electronic Theses of LMU Munich (Ludwig-Maximilians-Universität München), HAL (Le Centre pour la Communication Scientifique Directe), arXiv (Cornell University) and TUbilio (Technical University of Darmstadt).
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.