Pierre-Emmanuel Mazaré
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Control and Systems Engineering top 10%
- Transportation top 5%
- Building and Construction top 10%
- Co-authors
- Alexandre M. BayenGabriel SynnaeveEmmanuel DupouxEugene KharitonovAntoine BordesSamuel HumeauChristian ClaudelQinmei Xu
- Topics
- Natural Language Processing Techniques (4 papers)Topic Modeling (4 papers)Speech Recognition and Synthesis (3 papers)
- Journals
- Transportation Research Part B MethodologicalNature Machine IntelligenceIEEE Transactions on Big Data
- Partner nations
- FranceIsraelUnited States
In The Last Decade
Pierre-Emmanuel Mazaré
10 papers receiving 583 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 435
- Signal Processing 195
- Control and Systems Engineering 108
- Transportation 97
- Building and Construction 75
Countries citing papers authored by Pierre-Emmanuel Mazaré
This map shows the geographic impact of Pierre-Emmanuel Mazaré'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 Pierre-Emmanuel Mazaré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-Emmanuel Mazaré more than expected).
Fields of papers citing papers by Pierre-Emmanuel Mazaré
This network shows the impact of papers produced by Pierre-Emmanuel Mazaré. 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 Pierre-Emmanuel Mazaré. The network helps show where Pierre-Emmanuel Mazaré may publish in the future.
Co-authorship network of co-authors of Pierre-Emmanuel Mazaré
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Emmanuel Mazaré. A scholar is included among the top collaborators of Pierre-Emmanuel Mazaré 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 Pierre-Emmanuel Mazaré. Pierre-Emmanuel Mazaré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Faiss Librarybreakdown → | 33 |
| 2 | 12 | |
| 3 | 2 | |
| 4 | 61 | |
| 5 | Libri-Light: A Benchmark for ASR with Limited or No Supervisionbreakdown → | 278 |
| 6 | 104 | |
| 7 | 8 | |
| 8 | Trade-offs Between Inductive Loops and GPS Probe Vehicles for Travel Time Estimation: Mobile Century Case Study | 26 |
| 9 | 1 | |
| 10 | 98 |
About Pierre-Emmanuel Mazaré
Pierre-Emmanuel Mazaré is a scholar working on Transportation, Artificial Intelligence and Signal Processing, having authored 10 papers that have together received 623 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Signal Processing (195 citations), Transportation (97 citations) and Artificial Intelligence (435 citations). Pierre-Emmanuel Mazaré has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Alexandre M. Bayen, Gabriel Synnaeve, Emmanuel Dupoux, Eugene Kharitonov, Antoine Bordes, Samuel Humeau, Christian Claudel, Qinmei Xu, Christian Fuegen and Vitaliy Liptchinsky. Their work appears in journals such as Transportation Research Part B Methodological, Nature Machine Intelligence and IEEE Transactions on Big Data.
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.