Yves Chauvin
- Molecular Biology top 5%
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- Pierre BaldiSøren BrunakHenrik NielsenClaus A. AndersenDavid E. RumelhartTim HunkapillerMarcella A. McClureAnders Gorm Pedersen
- Topics
- Neural Networks and Applications (10 papers)Machine Learning in Bioinformatics (7 papers)RNA and protein synthesis mechanisms (5 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Yves Chauvin
24 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 190
- Molecular Biology 1.5k
- Artificial Intelligence 801
- Computational Theory and Mathematics 304
- Computer Vision and Pattern Recognition 264
- Signal Processing 181
Countries citing papers authored by Yves Chauvin
This map shows the geographic impact of Yves Chauvin'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 Yves Chauvin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Chauvin more than expected).
Fields of papers citing papers by Yves Chauvin
This network shows the impact of papers produced by Yves Chauvin. 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 Yves Chauvin. The network helps show where Yves Chauvin may publish in the future.
Co-authorship network of co-authors of Yves Chauvin
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Chauvin. A scholar is included among the top collaborators of Yves Chauvin 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 Yves Chauvin. Yves Chauvin 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 | Assessing the accuracy of prediction algorithms for classification: an overviewbreakdown → | 1605 |
| 3 | 161 | |
| 4 | 20 | |
| 5 | 71 | |
| 6 | 60 | |
| 7 | Characterization of prokaryotic and eukaryotic promoters using hidden Markov models. | 38 |
| 8 | Backpropagation: the basic theory | 203 |
| 9 | Backpropagation and unsupervised learning in linear networks | 8 |
| 10 | When neural networks play Sherlock Holmes | 1 |
| 11 | 1 | |
| 12 | Periodic sequence patterns in human exons. | 5 |
| 13 | 22 | |
| 14 | Hidden Markov models of biological primary sequence information.breakdown → | 321 |
| 15 | Hidden Markov Models in Molecular Biology: New Algorithms and Applications | 11 |
| 16 | 27 | |
| 17 | Dynamic behavior of constrained back propagation networks | 25 |
| 18 | Neural Networks Structured for Control Application to Aircraft Landing | 1 |
| 19 | Generalization Dynamics in LMS Trained Linear Networks | 6 |
| 20 | A Back-Propagation Algorithm with Optimal Use of Hidden Units | 108 |
About Yves Chauvin
Yves Chauvin is a scholar working on Signal Processing, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 26 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Artificial Intelligence (801 citations), Molecular Biology (1.5k citations) and Computational Theory and Mathematics (304 citations). Yves Chauvin has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Pierre Baldi, Søren Brunak, Henrik Nielsen, Claus A. Andersen, David E. Rumelhart, Tim Hunkapiller, Marcella A. McClure, Anders Gorm Pedersen, Richard Durbin and Richard M. Golden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Journal of Molecular Biology.
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.