Marius Mosbach

594 total citations
16 papers, 98 citations indexed

About

Marius Mosbach is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Marius Mosbach has authored 16 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 2 papers in Cognitive Neuroscience and 1 paper in Sociology and Political Science. Recurrent topics in Marius Mosbach's work include Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (3 papers). Marius Mosbach is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (6 papers) and Advanced Text Analysis Techniques (3 papers). Marius Mosbach collaborates with scholars based in Germany, United States and Austria. Marius Mosbach's co-authors include Dietrich Klakow, Shauli Ravfogel, Yanai Elazar, Tiago Pimentel, Michael A. Hedderich, Maksym Andriushchenko, David Ifeoluwa Adelani, Volha Petukhova, Andreas Stephan and Xiaoyu Shen and has published in prestigious journals such as Frontiers in Psychology, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Marius Mosbach

13 papers receiving 93 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marius Mosbach Germany 6 74 23 10 6 5 16 98
Ann Clifton Canada 5 63 0.9× 9 0.4× 15 1.5× 9 1.5× 3 0.6× 11 89
Hongkun Yu United States 2 83 1.1× 18 0.8× 7 0.7× 3 0.5× 4 0.8× 3 113
Khalid Almubarak Saudi Arabia 4 183 2.5× 31 1.3× 13 1.3× 4 0.7× 5 1.0× 9 217
Barun Patra United States 5 83 1.1× 26 1.1× 5 0.5× 7 1.2× 3 0.6× 15 106
Jiaao Chen United States 5 90 1.2× 18 0.8× 9 0.9× 4 0.7× 4 0.8× 9 114
Varun Gangal United States 6 80 1.1× 23 1.0× 11 1.1× 4 0.7× 4 0.8× 10 92
Tosin Adewumi Sweden 7 73 1.0× 16 0.7× 8 0.8× 2 0.3× 4 0.8× 18 101
Eric Joanis Canada 9 202 2.7× 16 0.7× 12 1.2× 7 1.2× 6 1.2× 15 214
Tahmid Hasan Bangladesh 3 179 2.4× 29 1.3× 25 2.5× 7 1.2× 7 1.4× 4 195

Countries citing papers authored by Marius Mosbach

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marius Mosbach

This figure shows the co-authorship network connecting the top 25 collaborators of Marius Mosbach. A scholar is included among the top collaborators of Marius Mosbach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marius Mosbach. Marius Mosbach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Reddy, Siva, et al.. (2025). Understanding the Influence of Synthetic Data for Text Embedders. 22551–22567.
2.
Zhang, Miaoran, Mingyang Wang, Jesujoba O. Alabi, et al.. (2024). The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis. 7342–7371. 1 indexed citations
3.
Shen, Xiaoyu, et al.. (2023). Weaker Than You Think: A Critical Look at Weakly Supervised Learning. 14229–14253. 5 indexed citations
4.
Mosbach, Marius. (2023). Analyzing Pre-trained and Fine-tuned Language Models. Publications of the UdS (Saarland University). 1 indexed citations
5.
Mosbach, Marius, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, & Yanai Elazar. (2023). Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. 12284–12314. 34 indexed citations
6.
7.
Mosbach, Marius, et al.. (2022). MCSE: Multimodal Contrastive Learning of Sentence Embeddings. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5959–5969. 14 indexed citations
8.
Mosbach, Marius, et al.. (2022). Knowledge Base Index Compression via Dimensionality and Precision Reduction. 41–53. 1 indexed citations
9.
Mosbach, Marius, et al.. (2022). StereoKG: Data-Driven Knowledge Graph Construction For Cultural Knowledge and Stereotypes. 67–78. 7 indexed citations
10.
Mosbach, Marius, Maksym Andriushchenko, & Dietrich Klakow. (2021). On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 15 indexed citations
11.
12.
Hedderich, Michael A., et al.. (2021). On the Correlation of Context-Aware Language Models With the Intelligibility of Polish Target Words to Czech Readers. Frontiers in Psychology. 12. 662277–662277. 1 indexed citations
13.
Petukhova, Volha, et al.. (2021). Graph-based Argument Quality Assessment. 1268–1280. 3 indexed citations
14.
15.
16.
Mosbach, Marius, et al.. (2019). Some steps towards the generation of diachronic WordNets. DSpace repository (University of Tartu). 55–64. 1 indexed citations

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.

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2026