Florent Altché

4.5k citations
11 papers · 512 · h-index 9

Impact in

Papers in

Florent Altché

11 papers receiving 492 citations

Peers

Florent Altché
Comparison fields: 5 of 41
  • Automotive Engineering 389
  • Control and Systems Engineering 308
  • Computer Vision and Pattern Recognition 194
  • Transportation 39
  • Safety, Risk, Reliability and Quality 32
Replace Shilp Dixit with:
Shilp Dixit United Kingdom
Benoit Vanholme France
Lydie Nouvelière France
Ömer Şahin Taş Germany
Mohammad Ali Sweden
Changxi You United States
Chiyu Dong United States
Mohammad Bahram Germany
Bilin Aksun‐Güvenç United States
Gabriel Rodrigues de Campos Sweden
Florent Altché relative to Shilp Dixit United Kingdom Shilp Dixit's profile →
Citations per field
00.5×2×4×6.6×
Shilp Dixit · 1×
Citations per year

Countries citing papers authored by Florent Altché

Since Specialization
Citations

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

Fields of papers citing papers by Florent Altché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Florent Altché, 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 Florent Altché Line = papers co-authored together Florent Altché links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017261
2 201678
3 201743
4 201728
5 201625
6 201722
7 201620
8 201716
9 201612
10
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
20206
11 20171

About Florent Altché

Florent Altché is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Safety, Risk, Reliability and Quality, having authored 11 papers that have together received 512 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (9 papers), Vehicle Dynamics and Control Systems (5 papers), Robotic Path Planning Algorithms (5 papers), Traffic control and management (4 papers), Real-time simulation and control systems (2 papers), Vehicular Ad Hoc Networks (VANETs) (1 paper), Transportation Planning and Optimization (1 paper) and Traffic and Road Safety (1 paper). The work is most often cited by research in Automotive Engineering (389 citations), Control and Systems Engineering (308 citations), Computer Vision and Pattern Recognition (194 citations), Transportation (39 citations) and Safety, Risk, Reliability and Quality (32 citations). Florent Altché has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Arnaud de La Fortelle, Philip Polack, Brigitte d’Andréa-Novel, Xiangjun Qian, Philipp Bender, Christoph Stiller, Jean Grégoire, Zhaohan Daniel Guo, Bilal Piot and Jean-Bastien Grill. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IET Intelligent Transport Systems, International Conference on Machine Learning, arXiv (Cornell University) and HAL (Le Centre pour la Communication Scientifique Directe).

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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