Christoph Müller
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Information Systems
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Michael StrubeCarsten DachsbacherJoeran BeelSteffen FreyBéla GippThomas ErtlMagnus StrengertTobias Gysi
- Topics
- Natural Language Processing Techniques (7 papers)Speech and dialogue systems (5 papers)Topic Modeling (3 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsApplied SciencesLanguage Resources and Evaluation
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Christoph Müller
22 papers receiving 245 citations
Peers
Comparison fields: 5 of 73
- Artificial Intelligence 166
- Hardware and Architecture 36
- Information Systems 28
- Computer Networks and Communications 25
- Computer Vision and Pattern Recognition 25
Countries citing papers authored by Christoph Müller
This map shows the geographic impact of Christoph Müller'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 Christoph Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christoph Müller more than expected).
Fields of papers citing papers by Christoph Müller
This network shows the impact of papers produced by Christoph Müller. 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 Christoph Müller. The network helps show where Christoph Müller may publish in the future.
Co-authorship network of co-authors of Christoph Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Christoph Müller. A scholar is included among the top collaborators of Christoph Müller 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 Christoph Müller. Christoph Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 31 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 13 | |
| 15 | 18 | |
| 16 | Resolving It, This, and That in Unrestricted Multi-Party Dialog | 34 |
| 17 | Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog | 22 |
| 18 | 2 | |
| 19 | An API for Discourse-level Access to XML-encoded Corpora | 1 |
| 20 | MMAX: A Tool for the Annotation of Multi-modal Corpora | 37 |
About Christoph Müller
Christoph Müller is a scholar working on Geology, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 26 papers that have together received 293 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Speech and dialogue systems (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Hardware and Architecture (36 citations), Artificial Intelligence (166 citations) and Computational Mathematics (3 citations). Christoph Müller has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Michael Strube, Carsten Dachsbacher, Joeran Beel, Steffen Frey, Béla Gipp, Thomas Ertl, Magnus Strengert, Tobias Gysi, Tobias Grosser and Oleksandr Zinenko. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Applied Sciences and Language Resources and Evaluation.
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.