Hervé Saint-Amand
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Molecular Biology
- Language and Linguistics top 10%
- Co-authors
- Philipp KoehnChristian FedermannChristian BuckLucia SpeciaOndřej BojarPavel PecinaMatt PostChristof Monz
- Topics
- Natural Language Processing Techniques (9 papers)Topic Modeling (8 papers)Biomedical Text Mining and Ontologies (2 papers)
- Journals
- Machine TranslationZurich Open Repository and Archive (University of Zurich)Edinburgh Research Explorer
- Partner nations
- United KingdomDenmarkSpain
In The Last Decade
Hervé Saint-Amand
9 papers receiving 453 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 482
- Computer Vision and Pattern Recognition 113
- Information Systems 50
- Molecular Biology 35
- Language and Linguistics 23
Countries citing papers authored by Hervé Saint-Amand
This map shows the geographic impact of Hervé Saint-Amand'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 Hervé Saint-Amand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Saint-Amand more than expected).
Fields of papers citing papers by Hervé Saint-Amand
This network shows the impact of papers produced by Hervé Saint-Amand. 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 Hervé Saint-Amand. The network helps show where Hervé Saint-Amand may publish in the future.
Co-authorship network of co-authors of Hervé Saint-Amand
This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Saint-Amand. A scholar is included among the top collaborators of Hervé Saint-Amand 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 Hervé Saint-Amand. Hervé Saint-Amand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 335 | |
| 2 | Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014, June 22-27, 2014, Baltimore, MD, USA, Volume 2: Short Papers | 7 |
| 3 | 15 | |
| 4 | 10 | |
| 5 | Proceedings of the Eighth Workshop on Statistical Machine Translation | 6 |
| 6 | 61 | |
| 7 | 35 | |
| 8 | Hybrid machine translation architectures within and beyond the EuroMatrix project | 14 |
| 9 | 37 |
About Hervé Saint-Amand
Hervé Saint-Amand is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (482 citations), Computer Vision and Pattern Recognition (113 citations) and Language and Linguistics (23 citations). Hervé Saint-Amand has collaborated with scholars based in United Kingdom, Denmark and Spain. Frequent co-authors include Philipp Koehn, Christian Federmann, Christian Buck, Lucia Specia, Ondřej Bojar, Pavel Pecina, Matt Post, Christof Monz, Barry Haddow and Radu Soricut. Their work appears in journals such as Machine Translation, Zurich Open Repository and Archive (University of Zurich) 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.