Marius Mosbach
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Sentiment Analysis and Opinion Mining
- Speech Recognition and Synthesis
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 11
- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 3
- Domain Adaptation and Few-Shot Learning 2
- Text Readability and Simplification 2
- Sentiment Analysis and Opinion Mining 1
- Hate Speech and Cyberbullying Detection 1
- Co-authors
- Dietrich Klakow (16 shared papers)Shauli Ravfogel (1 shared paper)Yanai Elazar (1 shared paper)Tiago Pimentel (1 shared paper)Michael A. Hedderich (3 shared papers)Maksym Andriushchenko (1 shared paper)David Ifeoluwa Adelani (1 shared paper)Andreas Stephan (1 shared paper)
- Journals
- Frontiers in Psychology (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)DSpace repository (University of Tartu) (1 paper)Publications of the UdS (Saarland University) (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Marius Mosbach
13 papers receiving 96 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 74
- Computer Vision and Pattern Recognition 23
- Linguistics and Language 3
- General Social Sciences 2
- Signal Processing 6
Countries citing papers authored by Marius Mosbach
This map shows the geographic impact of Marius Mosbach'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 Marius Mosbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Mosbach more than expected).
Fields of papers citing papers by Marius Mosbach
This network shows the impact of papers produced by Marius Mosbach. 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 Marius Mosbach. The network helps show where Marius Mosbach may publish in the future.
Co-authors
The 18 scholars most cited alongside Marius Mosbach, 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 | 2023 | 36 | |
| 2 | On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines | 2021 | 15 |
| 3 | 2022 | 14 | |
| 4 | 2020 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2019 | 5 | |
| 8 | 2021 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 1 | |
| 13 | Some steps towards the generation of diachronic WordNets | 2019 | 1 |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2021 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2023 | 0 |
About Marius Mosbach
Marius Mosbach is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Sociology and Political Science, Information Systems and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 101 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers), Advanced Text Analysis Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Text Readability and Simplification (2 papers), Sentiment Analysis and Opinion Mining (1 paper), Language and cultural evolution (1 paper) and Hate Speech and Cyberbullying Detection (1 paper). The work is most often cited by research in Artificial Intelligence (74 citations), Computer Vision and Pattern Recognition (23 citations), Linguistics and Language (3 citations), General Social Sciences (2 citations) and Signal Processing (6 citations). Marius Mosbach has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Dietrich Klakow, Shauli Ravfogel, Yanai Elazar, Tiago Pimentel, Michael A. Hedderich, Maksym Andriushchenko, David Ifeoluwa Adelani, Andreas Stephan, Xiaoyu Shen and Volha Petukhova. Their work appears in journals such as Frontiers in Psychology, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Infoscience (Ecole Polytechnique Fédérale de Lausanne), DSpace repository (University of Tartu) and Publications of the UdS (Saarland University).
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.