Cyril Allauzen
- Artificial Intelligence top 1%
- Signal Processing top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Hardware and Architecture top 10%
- Co-authors
- Mehryar MohriMichael RileyBrian RoarkMurat SaraçlarJohan SchalkwykJeffrey SorensenDavid RybachFrançoise Beaufays
- Topics
- Natural Language Processing Techniques (30 papers)Speech Recognition and Synthesis (29 papers)Algorithms and Data Compression (19 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Cyril Allauzen
53 papers receiving 797 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 852
- Signal Processing 242
- Computational Theory and Mathematics 82
- Computer Vision and Pattern Recognition 58
- Hardware and Architecture 36
Countries citing papers authored by Cyril Allauzen
This map shows the geographic impact of Cyril Allauzen'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 Cyril Allauzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cyril Allauzen more than expected).
Fields of papers citing papers by Cyril Allauzen
This network shows the impact of papers produced by Cyril Allauzen. 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 Cyril Allauzen. The network helps show where Cyril Allauzen may publish in the future.
Co-authorship network of co-authors of Cyril Allauzen
This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Allauzen. A scholar is included among the top collaborators of Cyril Allauzen 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 Cyril Allauzen. Cyril Allauzen 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 | 28 | |
| 4 | 3 | |
| 5 | SVM Optimization for Lattice Kernels | 0 |
| 6 | Smoothed marginal distribution constraints for language modeling | 6 |
| 7 | 5 | |
| 8 | 2 | |
| 9 | The OpenGrm open-source finite-state grammar software libraries | 60 |
| 10 | Hierarchical Phrase-based Translation Representations | 11 |
| 11 | Expected Sequence Similarity Maximization | 3 |
| 12 | 27 | |
| 13 | 18 | |
| 14 | 29 | |
| 15 | 14 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 28 | |
| 19 | 94 | |
| 20 | 3 |
About Cyril Allauzen
Cyril Allauzen is a scholar working on Artificial Intelligence, Hardware and Architecture and Computational Theory and Mathematics, having authored 55 papers that have together received 926 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Speech Recognition and Synthesis (29 papers) and Algorithms and Data Compression (19 papers). The work is most often cited by research in Artificial Intelligence (852 citations), Signal Processing (242 citations) and Hardware and Architecture (36 citations). Cyril Allauzen has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mehryar Mohri, Michael Riley, Brian Roark, Murat Saraçlar, Johan Schalkwyk, Jeffrey Sorensen, David Rybach, Françoise Beaufays, Petar Aleksic and Keith Hall. Their work appears in journals such as Theoretical Computer Science, Computational Linguistics and Journal of Algorithms.
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.