Matthias Paulik
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Signal Processing
- Language and Linguistics
- Information Systems
- Co-authors
- Alex WaibelStephan PeitzChristian FügenMuntsin KolssTanja SchultzSebastian StükerStephan VogelThomas Schaaf
- Topics
- Natural Language Processing Techniques (23 papers)Speech Recognition and Synthesis (19 papers)Speech and dialogue systems (13 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingComputer Speech & LanguageJournal of the Pediatric Infectious Diseases Society
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Matthias Paulik
29 papers receiving 301 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 335
- Computer Vision and Pattern Recognition 51
- Signal Processing 38
- Language and Linguistics 10
- Information Systems 7
Countries citing papers authored by Matthias Paulik
This map shows the geographic impact of Matthias Paulik'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 Matthias Paulik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Paulik more than expected).
Fields of papers citing papers by Matthias Paulik
This network shows the impact of papers produced by Matthias Paulik. 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 Matthias Paulik. The network helps show where Matthias Paulik may publish in the future.
Co-authorship network of co-authors of Matthias Paulik
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Paulik. A scholar is included among the top collaborators of Matthias Paulik 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 Matthias Paulik. Matthias Paulik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 72 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 20 | |
| 9 | 15 | |
| 10 | 42 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 15 | |
| 16 | 9 | |
| 17 | 16 | |
| 18 | 4 | |
| 19 | 13 | |
| 20 | 18 |
About Matthias Paulik
Matthias Paulik is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (23 papers), Speech Recognition and Synthesis (19 papers) and Speech and dialogue systems (13 papers). The work is most often cited by research in Artificial Intelligence (335 citations), Signal Processing (38 citations) and Computer Vision and Pattern Recognition (51 citations). Matthias Paulik has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Alex Waibel, Stephan Peitz, Christian Fügen, Muntsin Kolss, Tanja Schultz, Sebastian Stüker, Stephan Vogel, Thomas Schaaf, Jan Niehues and Florian Kraft. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and Journal of the Pediatric Infectious Diseases Society.
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.