Alexandre Bérard
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Signal Processing
- Information Systems
- Computational Theory and Mathematics
- Co-authors
- Laurent BesacierMatthias GalléOlivier PietquinJames HendersonCaroline BrunAline VillavicencioFrançois BryFrançois Yvon
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (9 papers)Speech Recognition and Synthesis (5 papers)
- Journals
- Proceedings of the ACM on Programming LanguagesEdinburgh Research Explorer (University of Edinburgh)Edinburgh Research Explorer
- Partner nations
- FranceSouth KoreaSwitzerland
In The Last Decade
Alexandre Bérard
16 papers receiving 105 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 96
- Computer Vision and Pattern Recognition 35
- Signal Processing 13
- Information Systems 5
- Computational Theory and Mathematics 5
Countries citing papers authored by Alexandre Bérard
This map shows the geographic impact of Alexandre Bérard'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 Alexandre Bérard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Bérard more than expected).
Fields of papers citing papers by Alexandre Bérard
This network shows the impact of papers produced by Alexandre Bérard. 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 Alexandre Bérard. The network helps show where Alexandre Bérard may publish in the future.
Co-authorship network of co-authors of Alexandre Bérard
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Bérard. A scholar is included among the top collaborators of Alexandre Bérard 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 Alexandre Bérard. Alexandre Bérard 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 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 32 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | Unwritten Languages Demand Attention Too! Word Discovery with Encoder-Decoder Models | 5 |
| 12 | Evaluation of NMT and SMT systems: A study on uses and perceptions | 1 |
| 13 | 9 | |
| 14 | 7 | |
| 15 | Transferts de champs entre maillages de type éléments finis et applications numériques en mécanique non linéaire des structures | 2 |
| 16 | Documents d'études sociales : sur l'anarchie | 1 |
About Alexandre Bérard
Alexandre Bérard is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 16 papers that have together received 111 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (96 citations), Computer Vision and Pattern Recognition (35 citations) and Signal Processing (13 citations). Alexandre Bérard has collaborated with scholars based in France, South Korea and Switzerland. Frequent co-authors include Laurent Besacier, Matthias Gallé, Olivier Pietquin, James Henderson, Caroline Brun, Laurent Besacier, Aline Villavicencio, Laurent Besacier, François Bry and François Yvon. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Edinburgh Research Explorer (University of Edinburgh) and Edinburgh Research Explorer.
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.