Felix Stahlberg
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Information Systems
- Language and Linguistics
- Co-authors
- Bill ByrneStephan VogelAdrià de GispertEva HaslerRichard SproatXiaochang PengBrian RoarkHao Zhang
- Topics
- Natural Language Processing Techniques (25 papers)Topic Modeling (21 papers)Speech Recognition and Synthesis (10 papers)
- Journals
- Computational LinguisticsJournal of Artificial Intelligence ResearchComputer Speech & Language
- Partner nations
- United KingdomUnited StatesQatar
In The Last Decade
Felix Stahlberg
25 papers receiving 260 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 262
- Computer Vision and Pattern Recognition 75
- Signal Processing 16
- Information Systems 14
- Language and Linguistics 7
Countries citing papers authored by Felix Stahlberg
This map shows the geographic impact of Felix Stahlberg'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 Felix Stahlberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Stahlberg more than expected).
Fields of papers citing papers by Felix Stahlberg
This network shows the impact of papers produced by Felix Stahlberg. 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 Felix Stahlberg. The network helps show where Felix Stahlberg may publish in the future.
Co-authorship network of co-authors of Felix Stahlberg
This figure shows the co-authorship network connecting the top 25 collaborators of Felix Stahlberg. A scholar is included among the top collaborators of Felix Stahlberg 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 Felix Stahlberg. Felix Stahlberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 17 | |
| 7 | Data Strategies for Low-Resource Grammatical Error Correction | 9 |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 60 | |
| 11 | 7 | |
| 12 | 49 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 20 | |
| 16 | 7 | |
| 17 | 22 | |
| 18 | QAT 2 - The QCRI Advanced Transcription and Translation System | 0 |
| 19 | 3 | |
| 20 | 12 |
About Felix Stahlberg
Felix Stahlberg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Media Technology, having authored 29 papers that have together received 284 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Topic Modeling (21 papers) and Speech Recognition and Synthesis (10 papers). The work is most often cited by research in Artificial Intelligence (262 citations), Computer Vision and Pattern Recognition (75 citations) and Signal Processing (16 citations). Felix Stahlberg has collaborated with scholars based in United Kingdom, United States and Qatar. Frequent co-authors include Bill Byrne, Stephan Vogel, Adrià de Gispert, Eva Hasler, Richard Sproat, Xiaochang Peng, Brian Roark, Hao Zhang, Kyle Gorman and Shankar Kumar. Their work appears in journals such as Computational Linguistics, Journal of Artificial Intelligence Research and Computer Speech & Language.
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.