Markus Dreyer
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Algorithms and Data Compression
- Text Readability and Simplification
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 27
- Natural Language Processing Techniques 26
- Advanced Text Analysis Techniques 8
- Algorithms and Data Compression 3
- Semantic Web and Ontologies 3
- Text Readability and Simplification 3
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 2
- Co-authors
- Jason Eisner (6 shared papers)Daniel Marcu (1 shared paper)Jason Smith (1 shared paper)Mohit Bansal (7 shared papers)Sanjeev Khudanpur (3 shared papers)Lambert Mathias (2 shared papers)Mengwen Liu (3 shared papers)Björn Hoffmeister (2 shared papers)
- Journals
- Maryland Shared Open Access Repository (USMAI Consortium) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Findings of the Association for Computational Linguistics: NAACL 2022 (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Markus Dreyer
26 papers receiving 525 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 587
- Computer Vision and Pattern Recognition 70
- Information Systems 52
- Management Science and Operations Research 27
- General Social Sciences 4
Countries citing papers authored by Markus Dreyer
This map shows the geographic impact of Markus Dreyer'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 Markus Dreyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Dreyer more than expected).
Fields of papers citing papers by Markus Dreyer
This network shows the impact of papers produced by Markus Dreyer. 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 Markus Dreyer. The network helps show where Markus Dreyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Dreyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 66 | |
| 2 | Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model | 2011 | 54 |
| 3 | HyTER: Meaning-Equivalent Semantics for Translation Evaluation | 2012 | 47 |
| 4 | 2017 | 44 | |
| 5 | 2008 | 40 | |
| 6 | 2016 | 40 | |
| 7 | 2021 | 39 | |
| 8 | 2009 | 31 | |
| 9 | 2009 | 31 | |
| 10 | 2006 | 25 | |
| 11 | 2022 | 24 | |
| 12 | 2007 | 21 | |
| 13 | 2006 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2023 | 18 | |
| 16 | A non-parametric model for the discovery of inflectional paradigms from plain text using graphical models over strings | 2011 | 16 |
| 17 | Final Report of the 2005 Language Engineering Workshop on Statistical Machine Translation by Parsing | 2005 | 12 |
| 18 | 2022 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2007 | 9 |
About Markus Dreyer
Markus Dreyer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 28 papers that have together received 607 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (26 papers), Advanced Text Analysis Techniques (8 papers), Algorithms and Data Compression (3 papers), Semantic Web and Ontologies (3 papers), Text Readability and Simplification (3 papers), Multimodal Machine Learning Applications (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (587 citations), Computer Vision and Pattern Recognition (70 citations), Information Systems (52 citations), Management Science and Operations Research (27 citations) and General Social Sciences (4 citations). Markus Dreyer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jason Eisner, Daniel Marcu, Jason Smith, Mohit Bansal, Sanjeev Khudanpur, Lambert Mathias, Mengwen Liu, Björn Hoffmeister, Xing Fan and Damianos Karakos. Their work appears in journals such as Maryland Shared Open Access Repository (USMAI Consortium), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Findings of the Association for Computational Linguistics: NAACL 2022.
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.