Germain Forestier
Impact in
- Signal Processing top 0.2%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Health Informatics top 1%
Papers in
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- Time Series Analysis and Forecasting 38
- Music and Audio Processing 11
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- Anomaly Detection Techniques and Applications 31
- AI in cancer detection 17
- Semantic Web and Ontologies 11
- Co-authors
- Jonathan Weber (46 shared papers)Lhassane Idoumghar (18 shared papers)Pierre-Alain Müller (18 shared papers)Hassan Ismail Fawaz (10 shared papers)Cédric Wemmert (39 shared papers)François Petitjean (16 shared papers)Pierre Gançarski (23 shared papers)Geoffrey I. Webb (9 shared papers)
In The Last Decade
Germain Forestier
127 papers receiving 5.5k citations
Germain Forestier's Hit Papers
Peers
Comparison fields: 5 of 188
- Signal Processing 2.0k
- Health Informatics 122
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 938
- Media Technology 221
Countries citing papers authored by Germain Forestier
This map shows the geographic impact of Germain Forestier'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 Germain Forestier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germain Forestier more than expected).
Fields of papers citing papers by Germain Forestier
This network shows the impact of papers produced by Germain Forestier. 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 Germain Forestier. The network helps show where Germain Forestier may publish in the future.
Co-authors
The 25 scholars most cited alongside Germain Forestier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 137 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 → | 2019 | 2351 |
| 2 | 2017 | 388 | |
| 3 | 2018 | 196 | |
| 4 | 2014 | 180 | |
| 5 | 2021 | 166 | |
| 6 | 2017 | 124 | |
| 7 | Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Hit paper breakdown → | 2024 | 114 |
| 8 | 2019 | 98 | |
| 9 | 2015 | 87 | |
| 10 | 2015 | 86 | |
| 11 | 2018 | 85 | |
| 12 | 2012 | 78 | |
| 13 | 2011 | 71 | |
| 14 | 2009 | 68 | |
| 15 | 2018 | 67 | |
| 16 | 2012 | 66 | |
| 17 | 2019 | 66 | |
| 18 | 2018 | 62 | |
| 19 | 2007 | 58 | |
| 20 | 2010 | 57 |
About Germain Forestier
Germain Forestier is a scholar working on Signal Processing, Artificial Intelligence, Media Technology, Computer Vision and Pattern Recognition and Biophysics, having authored 137 papers that have together received 5.7k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (38 papers), Anomaly Detection Techniques and Applications (31 papers), Remote-Sensing Image Classification (19 papers), AI in cancer detection (17 papers), Image Retrieval and Classification Techniques (12 papers), Surgical Simulation and Training (11 papers), Semantic Web and Ontologies (11 papers) and Music and Audio Processing (11 papers). The work is most often cited by research in Signal Processing (2.0k citations), Health Informatics (122 citations), Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (938 citations) and Media Technology (221 citations). Germain Forestier has collaborated with scholars based in France, Australia and Germany. Frequent co-authors include Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller, Hassan Ismail Fawaz, Cédric Wemmert, François Petitjean, Pierre Gançarski, Geoffrey I. Webb, Eamonn Keogh and Pierre Jannin. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Artificial Intelligence in Medicine, Journal of Biomedical Informatics, Data Mining and Knowledge Discovery 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.