Germain Forestier

8.5k citations
117 papers · 4.7k · 2 hit papers · h-index 26

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 26
    • AI in cancer detection 11
    • Semantic Web and Ontologies 9
    • Time Series Analysis and Forecasting 33
    • Music and Audio Processing 10

Germain Forestier

108 papers receiving 4.6k citations

Germain Forestier's Hit Papers

Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey 2024 · 93 citations
930+2+4Years since publication50010001.5k2.0k

Peers

Germain Forestier
Comparison fields: 5 of 179
  • Signal Processing 1.7k
  • Artificial Intelligence 2.1k
  • Health Informatics 53
  • Computer Vision and Pattern Recognition 714
  • Media Technology 186
Replace Jonathan Weber with:
Jonathan Weber France
Kemal Polat Türkiye
Robi Polikar United States
Lhassane Idoumghar France
M. Tanveer India
BengioYoshua
Abbes Amira United Kingdom
Felix A. Gers Switzerland
Lipo Wang Singapore
Nojun Kwak South Korea
Germain Forestier relative to Jonathan Weber France Jonathan Weber's profile →
Citations per field
00.5×3.5×
Jonathan Weber · 1×
Citations per year

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

20 of 20 papers shown

Showing the 20 most-cited of 117 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 →
20192237
2 2018186
3 2021154
4 2017120
5 201994
6
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Hit paper breakdown →
202493
7 201585
8
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
201984
9 201584
10 201882
11 201272
12 201168
13 200967
14 201864
15 201963
16 201262
17 201858
18 202156
19 201053
20 201850

About Germain Forestier

Germain Forestier is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Media Technology and Information Systems, having authored 117 papers that have together received 4.7k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (33 papers), Anomaly Detection Techniques and Applications (26 papers), Remote-Sensing Image Classification (17 papers), Surgical Simulation and Training (11 papers), AI in cancer detection (11 papers), Music and Audio Processing (10 papers), Image Retrieval and Classification Techniques (10 papers) and Semantic Web and Ontologies (9 papers). The work is most often cited by research in Signal Processing (1.7k citations), Artificial Intelligence (2.1k citations), Health Informatics (53 citations), Computer Vision and Pattern Recognition (714 citations) and Media Technology (186 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, François Petitjean, Pierre Jannin, Geoffrey I. Webb and Eamonn Keogh. 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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