Germain Forestier

8.3k citations

83 papers · 3.9k indexed · 2 hit papers · h-index 24

Impact in

Signal Processing top 0.2%
- Time Series Analysis and Forecasting
- Music and Audio Processing
Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- AI in cancer detection

Papers in ⓘ

Artificial Intelligence 41
- Anomaly Detection Techniques and Applications 19
- AI in cancer detection 8
Signal Processing 29
- Time Series Analysis and Forecasting 25
- Music and Audio Processing 8

Co-authors: Jonathan Weber (30 shared papers)Lhassane Idoumghar (13 shared papers)Pierre-Alain Müller (10 shared papers)Hassan Ismail Fawaz (8 shared papers)Cédric Wemmert (23 shared papers)Pierre Gançarski (14 shared papers)Pierre Jannin (14 shared papers)François Petitjean (9 shared papers)
Journals: Artificial Intelligence in Medicine (5 papers)International Journal of Computer Assisted Radiology and Surgery (5 papers)Data Mining and Knowledge Discovery (4 papers)Journal of Biomedical Informatics (4 papers)Knowledge and Information Systems (3 papers)
Partner nations: France Australia Switzerland

In The Last Decade

Germain Forestier

75 papers receiving 3.8k citations

Hit Papers

align trajectories log scale

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey 2024 · 80 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 ACM Computing Surveys
2019 Data Mining and Knowledge Discovery

Peers

Countries citing papers authored by Germain Forestier

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning for time series classification: a review Data Mining and Knowledge Discovery ·Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller Hit paper breakdown →	2019	1972
2	Transfer learning for time series classification arXiv (Cornell University) ·Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller	2018	164
3	Deep learning for colon cancer histopathological images analysis Computers in Biology and Medicine ·Amina Ben Hamida, Maxime Devanne, Jonathan Weber, Caroline Truntzer, Valentin Dérangère, François Ghiringhelli, Germain Forestier, Cédric Wemmert	2021	139
4	Generating Synthetic Time Series to Augment Sparse Datasets HAL (Le Centre pour la Communication Scientifique Directe) ·Germain Forestier, François Petitjean, Hoang Anh Dau, Geoffrey I. Webb, Eamonn Keogh	2017	110
5	Adversarial Attacks on Deep Neural Networks for Time Series Classification arXiv (Cornell University) ·Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller	2019	81
6	Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey ACM Computing Surveys ·Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, Geoffrey I. Webb, Germain Forestier, Mahsa Salehi Hit paper breakdown →	2024	80
7	Unsupervised Trajectory Segmentation for Surgical Gesture Recognition in Robotic Training IEEE Transactions on Biomedical Engineering ·Fabien Despinoy, David Bouget, Germain Forestier, Cédric Penet, Nabil Zemiti, Philippe Poignet, Pierre Jannin	2015	79
8	Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks univOAK (4 institutions : Université de Strasbourg, Université de Haute Alsace, INSA Strasbourg, Bibliothèque Nationale et Universitaire de Strasbourg) ·Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller	2019	77
9	Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm Knowledge and Information Systems ·François Petitjean, Germain Forestier, Geoffrey I. Webb, Ann E. Nicholson, Yanping Chen, Eamonn Keogh	2015	76
10	A Virtual Imaging Platform for Multi-Modality Medical Image Simulation IEEE Transactions on Medical Imaging ·Tristan Glatard, Carole Lartizien, Bernard Gibaud, Rafael Ferreira da Silva, Germain Forestier, Frédéric Cervenansky, Martino Alessandrini, H. Benoit‐Cattin, Olivier Bernard, Sorina Camarasu-Pop, Nadia Cerezo, Patrick Clarysse, Alban Gaignard, Patrick Hugonnard, Hervé Liebgott, Simon Marache, A. Marion, Johan Montagnat, Joachim Tabary, Denis Friboulet	2012	65
11	Collaborative clustering with background knowledge Data & Knowledge Engineering ·Germain Forestier, Pierre Gançarski, Cédric Wemmert	2009	63
12	Classification of surgical processes using dynamic time warping Journal of Biomedical Informatics ·Germain Forestier, Florent Lalys, Laurent Riffaud, Brivael Trelhu, Pierre Jannin	2011	62
13	Optimizing dynamic time warping’s window width for time series data mining applications Data Mining and Knowledge Discovery ·Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony Bagnall, Abdullah Mueen, Eamonn Keogh	2018	58
14	Knowledge-based region labeling for remote sensing image interpretation Computers Environment and Urban Systems ·Germain Forestier, Anne Puissant, Cédric Wemmert, Pierre Gançarski	2012	55
15	Deep Neural Network Ensembles for Time Series Classification arXiv (Cornell University) ·Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller	2019	54
16	Recent trends in crowd analysis: A review SHILAP Revista de lepidopterología ·Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Müller	2021	52
17	Toward a standard ontology of surgical process models International Journal of Computer Assisted Radiology and Surgery ·Bernard Gibaud, Germain Forestier, Carolin Feldmann, Giancarlo Ferrigno, Paulo Gonçalves, Tamás Haidegger, Chantal Julliard, Darko Katić, Hannes Kenngott, Lena Maier‐Hein, Keno März, Elena De Momi, Dénes Ákos Nagy, Hirenkumar Nakawala, Juliane Neumann, Thomas Neumuth, Javier Rojas Balderrama, Stefanie Speidel, Martin Wagner, Pierre Jannin	2018	51
18	Surgical motion analysis using discriminative interpretable patterns Artificial Intelligence in Medicine ·Germain Forestier, François Petitjean, Pavel Senin, Fabien Despinoy, Arnaud Huaulmé, Hassan Ismail Fawaz, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Pierre Jannin	2018	46
19	Supervised image segmentation using watershed transform, fuzzy classification and evolutionary computation Pattern Recognition Letters ·Sébastien Derivaux, Germain Forestier, Cédric Wemmert, Sébastien Lefèvre	2010	45
20	End-to-end deep representation learning for time series clustering: a comparative study Data Mining and Knowledge Discovery ·Baptiste Lafabrègue, Jonathan Weber, Pierre Gançarski, Germain Forestier	2021	44

About Germain Forestier

Germain Forestier is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Media Technology and Surgery, having authored 83 papers that have together received 3.9k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (25 papers), Anomaly Detection Techniques and Applications (19 papers), Remote-Sensing Image Classification (13 papers), Surgical Simulation and Training (11 papers), Music and Audio Processing (8 papers), AI in cancer detection (8 papers), Remote Sensing in Agriculture (7 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Signal Processing (1.5k citations), Artificial Intelligence (1.8k citations), Health Informatics (59 citations), Computer Vision and Pattern Recognition (633 citations) and Management Science and Operations Research (222 citations). Germain Forestier has collaborated with scholars based in France, Australia and Switzerland. Frequent co-authors include Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Müller, Hassan Ismail Fawaz, Cédric Wemmert, Pierre Gançarski, Pierre Jannin, François Petitjean, Geoffrey I. Webb and Laurent Riffaud. Their work appears in journals such as Artificial Intelligence in Medicine, International Journal of Computer Assisted Radiology and Surgery, Data Mining and Knowledge Discovery, Journal of Biomedical Informatics and Knowledge and Information Systems.

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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