Pierre-Alain Müller

5.3k citations
26 papers · 2.8k · 1 hit paper · h-index 14

Impact in

    • Time Series Analysis and Forecasting
    • Music and Audio Processing
  • Software top 2%
    • Model-Driven Software Engineering Techniques

Papers in

    • Anomaly Detection Techniques and Applications 7
    • Advanced Software Engineering Methodologies 4
    • Adversarial Robustness in Machine Learning 2
    • Model-Driven Software Engineering Techniques 10
    • Software Testing and Debugging Techniques 3

Pierre-Alain Müller

26 papers receiving 2.7k citations

Pierre-Alain Müller's Hit Papers

Deep learning for time series classification: a review 2019 · 2.1k citations
2.1k0+2+4Years since publication50010001.5k2.0k

Peers

Pierre-Alain Müller
Comparison fields: 5 of 156
  • Signal Processing 1.1k
  • Software 165
  • Artificial Intelligence 1.3k
  • Management Science and Operations Research 196
  • Computer Vision and Pattern Recognition 319
Replace Anthony Bagnall with:
Anthony Bagnall United Kingdom
Nikos E. Mastorakis Bulgaria
Hui Jiang Canada
Syed Mohammed Shamsul Islam Australia
Zachary C. Lipton United States
Martin Sundermeyer Germany
Ralf Schlüter Germany
Françoise Beaufays United States
Haşim Sak United States
Sai Ho Ling Australia
Pierre-Alain Müller relative to Anthony Bagnall United Kingdom Anthony Bagnall's profile →
Citations per field
00.5×1.5×
Anthony Bagnall · 1×
Citations per year

Countries citing papers authored by Pierre-Alain Müller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Pierre-Alain Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pierre-Alain Müller Line = papers co-authored together Pierre-Alain Müller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning for time series classification: a review
Hit paper breakdown →
20192069
2 2018167
3 201982
4
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
201977
5 201954
6 202154
7 200748
8
Instant Uml
199743
9
On Executable Meta-Languages applied to Model Transformations
200532
10 200524
11 201021
12 201216
13 202016
14 199913
15 200811
16 201910
17
Towards Dependable Model Transformations: Qualifying Input Test Data
20079
18 19878
19 19996
20
Modelado de objetos con UML
19975

About Pierre-Alain Müller

Pierre-Alain Müller is a scholar working on Artificial Intelligence, Software, Information Systems, Signal Processing and Computer Networks and Communications, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (10 papers), Anomaly Detection Techniques and Applications (7 papers), Service-Oriented Architecture and Web Services (5 papers), Advanced Software Engineering Methodologies (4 papers), Time Series Analysis and Forecasting (4 papers), Software Testing and Debugging Techniques (3 papers), Software System Performance and Reliability (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (1.1k citations), Software (165 citations), Artificial Intelligence (1.3k citations), Management Science and Operations Research (196 citations) and Computer Vision and Pattern Recognition (319 citations). Pierre-Alain Müller has collaborated with scholars based in France, Switzerland and Australia. Frequent co-authors include Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Hassan Ismail Fawaz, Benoît Baudry, Franck Fleurey, Frédéric Fondement, Yves Le Traon, Jean Bézivín and Tony Clark. Their work appears in journals such as Software & Systems Modeling, Data Mining and Knowledge Discovery, Artificial Intelligence Review, International Journal of Data Science and Analytics and Lecture notes in computer science.

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.

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