Matthieu Geist

3.7k citations
111 papers · 1.5k · h-index 20

Impact in

Papers in

Matthieu Geist

103 papers receiving 1.5k citations

Peers

Matthieu Geist
Comparison fields: 5 of 53
  • Artificial Intelligence 769
  • Computer Vision and Pattern Recognition 192
  • Computational Theory and Mathematics 34
  • Health Informatics 4
  • Finance 21
Replace Pedro A. Torres‐Carrasquillo with:
Pedro A. Torres‐Carrasquillo United States
Esther Levin United States
Moustafa Alzantot United States
Subramanian Ramamoorthy United Kingdom
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Alex Meystel United States
Corrado Mencar Italy
Cheong Hee Park South Korea
Kaoru Hirota Japan
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Citations per year

Countries citing papers authored by Matthieu Geist

Since Specialization
Citations

This map shows the geographic impact of Matthieu Geist'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 Matthieu Geist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Geist more than expected).

Fields of papers citing papers by Matthieu Geist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu Geist. 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 Matthieu Geist. The network helps show where Matthieu Geist may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthieu Geist, 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 Matthieu Geist Line = papers co-authored together Matthieu Geist links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017158
2 201669
3 201767
4 201161
5 201056
6 201354
7
Inverse Reinforcement Learning through Structured Classification
201249
8 201348
9
Off-policy Learning with Eligibility Traces: A Survey
201345
10 201144
11 201239
12 202034
13 201433
14 201832
15
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study
202132
16
Approximate modified policy iteration and its application to the game of Tetris
201529
17 201328
18 202026
19 201924
20 201020

About Matthieu Geist

Matthieu Geist is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanics of Materials and Finance, having authored 111 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (50 papers), Speech and dialogue systems (14 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Robotics and Sensor-Based Localization (3 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Control Systems and Identification (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Artificial Intelligence (769 citations), Computer Vision and Pattern Recognition (192 citations), Computational Theory and Mathematics (34 citations), Health Informatics (4 citations) and Finance (21 citations). Matthieu Geist has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Olivier Pietquin, Bilal Piot, Erinç Merdivan, Sten Hanke, Johannes Kropf, Andreas Holzinger, Deepika Singh, Bruno Scherrer, Ismini Psychoula and Cédric Pradalier. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Robotics and Automation Letters, Lecture notes in computer science, IEEE Journal of Selected Topics in Signal Processing and Machine Learning.

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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