Romain Hennequin
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Manuel MoussallamRoland BadeauBertrand DavidMichalis VazirgiannisDarius AfcharMarkus SchedlAlessandro B. MelchiorreFlorence d’Alché–Buc
- Topics
- Music and Audio Processing (18 papers)Speech and Audio Processing (11 papers)Speech Recognition and Synthesis (7 papers)
In The Last Decade
Romain Hennequin
24 papers receiving 331 citations
Peers
Comparison fields: 5 of 65
- Signal Processing 219
- Artificial Intelligence 132
- Computer Vision and Pattern Recognition 111
- Information Systems 46
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Romain Hennequin
This map shows the geographic impact of Romain Hennequin'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 Romain Hennequin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Hennequin more than expected).
Fields of papers citing papers by Romain Hennequin
This network shows the impact of papers produced by Romain Hennequin. 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 Romain Hennequin. The network helps show where Romain Hennequin may publish in the future.
Co-authorship network of co-authors of Romain Hennequin
This figure shows the co-authorship network connecting the top 25 collaborators of Romain Hennequin. A scholar is included among the top collaborators of Romain Hennequin 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 Romain Hennequin. Romain Hennequin 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | 36 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 2 | |
| 15 | FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. | 1 |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 19 | |
| 20 | 25 |
About Romain Hennequin
Romain Hennequin is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology, having authored 29 papers that have together received 354 indexed citations. Recurring topics across this work include Music and Audio Processing (18 papers), Speech and Audio Processing (11 papers) and Speech Recognition and Synthesis (7 papers). The work is most often cited by research in Signal Processing (219 citations), Computational Mathematics (5 citations) and Computer Vision and Pattern Recognition (111 citations). Romain Hennequin has collaborated with scholars based in France, Belgium and Austria. Frequent co-authors include Manuel Moussallam, Roland Badeau, Bertrand David, Michalis Vazirgiannis, Darius Afchar, Markus Schedl, Alessandro B. Melchiorre, Florence d’Alché–Buc, Bertrand David and Pierre Leveau. Their work appears in journals such as Nature Communications, Neural Networks and IEEE Signal Processing Letters.
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.