Pierre-Alain Müller
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Germain ForestierJonathan WeberLhassane IdoumgharHassan Ismail FawazFranck FleureyBenoît BaudryFrédéric FondementJean Bézivín
- Topics
- Model-Driven Software Engineering Techniques (10 papers)Anomaly Detection Techniques and Applications (7 papers)Service-Oriented Architecture and Web Services (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial Intelligence ReviewData Mining and Knowledge Discovery
- Partner nations
- FranceAustraliaSwitzerland
In The Last Decade
Pierre-Alain Müller
26 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 1.3k
- Signal Processing 1.1k
- Computer Vision and Pattern Recognition 318
- Biomedical Engineering 241
- Electrical and Electronic Engineering 207
Countries citing papers authored by Pierre-Alain Müller
This map shows the geographic impact of Pierre-Alain Müller'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-Alain Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-Alain Müller more than expected).
Fields of papers citing papers by Pierre-Alain Müller
This network shows the impact of papers produced by Pierre-Alain Müller. 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-Alain Müller. The network helps show where Pierre-Alain Müller may publish in the future.
Co-authorship network of co-authors of Pierre-Alain Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Alain Müller. A scholar is included among the top collaborators of Pierre-Alain Müller 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-Alain Müller. Pierre-Alain Müller 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 | 1 | |
| 3 | 52 | |
| 4 | 81 | |
| 5 | Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks | 77 |
| 6 | 54 | |
| 7 | 10 | |
| 8 | Deep learning for time series classification: a reviewbreakdown → | 1972 |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | Towards Dependable Model Transformations: Qualifying Input Test Data | 9 |
| 14 | Metamodel-Aware Textual Concrete Syntax Specification | 4 |
| 15 | On Executable Meta-Languages applied to Model Transformations | 32 |
| 16 | 6 | |
| 17 | 13 | |
| 18 | Modelado de objetos con UML | 5 |
| 19 | Instant Uml | 43 |
| 20 | 8 |
About Pierre-Alain Müller
Pierre-Alain Müller is a scholar working on Software, Signal Processing and Artificial Intelligence, having authored 26 papers that have together received 2.7k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (10 papers), Anomaly Detection Techniques and Applications (7 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Signal Processing (1.1k citations), Software (164 citations) and Artificial Intelligence (1.3k citations). Pierre-Alain Müller has collaborated with scholars based in France, Australia and Switzerland. Frequent co-authors include Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Hassan Ismail Fawaz, Franck Fleurey, Benoît Baudry, Frédéric Fondement, Jean Bézivín, Yves Le Traon and Tony Clark. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence Review and Data Mining and Knowledge Discovery.
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.