Germain Forestier

79 papers and 3.7k indexed citations i.

About

Germain Forestier is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Germain Forestier has authored 79 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 29 papers in Signal Processing and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Germain Forestier’s work include Time Series Analysis and Forecasting (25 papers), Anomaly Detection Techniques and Applications (19 papers) and Remote-Sensing Image Classification (13 papers). Germain Forestier is often cited by papers focused on Time Series Analysis and Forecasting (25 papers), Anomaly Detection Techniques and Applications (19 papers) and Remote-Sensing Image Classification (13 papers). Germain Forestier collaborates with scholars based in France, Australia and Germany. Germain Forestier's co-authors include Jonathan Weber, Lhassane Idoumghar, Hassan Ismail Fawaz, Pierre-Alain Müller, François Petitjean, Cédric Wemmert, Geoffrey I. Webb, Charlotte Pelletier, Benjamín Lucas and Daniel F. Schmidt and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Geophysical Journal International.

In The Last Decade

Co-authorship network of co-authors of Germain Forestier i

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.

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).

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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