Benoit Morisset

455 citations
15 papers · 214 · h-index 9

Impact in

Papers in

Benoit Morisset

14 papers receiving 203 citations

Peers

Benoit Morisset
Comparison fields: 5 of 38
  • Computer Vision and Pattern Recognition 113
  • Aerospace Engineering 89
  • Computer Networks and Communications 66
  • Geology 14
  • Control and Systems Engineering 33
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Daniel Claes Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Benoit Morisset

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Morisset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200943
2 200832
3 200525
4 200923
5
Commbots: Distributed control of mobile communication relays
200622
6
Around the Lab in 40 days ...
200016
7 200716
8 200210
9
Robel: synthesizing and controlling complex robust robot behaviors
20049
10 20148
11 20154
12 20143
13
Leaving Flatland: Efficient Real-Time 3D Navigation
20092
14 20231
15 20080

About Benoit Morisset

Benoit Morisset is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence and Mechanical Engineering, having authored 15 papers that have together received 214 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (3 papers), Distributed systems and fault tolerance (2 papers), AI-based Problem Solving and Planning (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Aerospace Engineering (89 citations), Computer Networks and Communications (66 citations), Geology (14 citations) and Control and Systems Engineering (33 citations). Benoit Morisset has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Régis Vincent, Charles L. Ortiz, Malik Ghallab, Jean‐Claude Latombe, Michael Beetz, Motilal Agrawal, Aravind Sundaresan, Kris Hauser, Radu Bogdan Rusu and Roger Mailler. Their work appears in journals such as Artificial Intelligence, Journal of Field Robotics, Computers & Graphics, Annals of Mathematics and Artificial Intelligence and International Conference on Robotics and Automation.

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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