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
- Text Readability and Simplification 2
- Domain Adaptation and Few-Shot Learning 2
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- Hearing Loss and Rehabilitation 1
- Co-authors
- Dietrich Klakow (14 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)Volha Petukhova (1 shared paper)
- Journals
- Frontiers in Psychology (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Publications of the UdS (Saarland University) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)DSpace repository (University of Tartu) (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Marius Mosbach
13 papers receiving 93 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 74
- Computer Vision and Pattern Recognition 23
- Health Informatics 1
- Linguistics and Language 3
- General Social Sciences 2
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 16 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 | 34 | |
| 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 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 1 | |
| 12 | Some steps towards the generation of diachronic WordNets | 2019 | 1 |
| 13 | 2022 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2021 | 0 | |
| 16 | 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 16 papers that have together received 98 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers), Advanced Text Analysis Techniques (3 papers), Text Readability and Simplification (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Speech and Audio Processing (1 paper), Phonetics and Phonology Research (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Artificial Intelligence (74 citations), Computer Vision and Pattern Recognition (23 citations), Health Informatics (1 citation), Linguistics and Language (3 citations) and General Social Sciences (2 citations). Marius Mosbach has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dietrich Klakow, Shauli Ravfogel, Yanai Elazar, Tiago Pimentel, Michael A. Hedderich, Maksym Andriushchenko, David Ifeoluwa Adelani, Volha Petukhova, Xiaoyu Shen and Andreas Stephan. Their work appears in journals such as Frontiers in Psychology, Infoscience (Ecole Polytechnique Fédérale de Lausanne), Publications of the UdS (Saarland University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and DSpace repository (University of Tartu).
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.