Benoit Morisset

458 citations
18 papers · 325 · h-index 10

Impact in

Papers in

Benoit Morisset

17 papers receiving 305 citations

Peers

Benoit Morisset
Comparison fields: 5 of 43
  • Computer Vision and Pattern Recognition 180
  • Aerospace Engineering 135
  • Computer Networks and Communications 110
  • Geology 17
  • Mechanical Engineering 80
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Daniel Claes Netherlands
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Aamir Ahmad Germany
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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

18 of 18 papers shown
#Work
1 200665
2 200950
3 200836
4 200533
5 200927
6
Commbots: Distributed control of mobile communication relays
200624
7
Around the Lab in 40 days ...
200020
8 200718
9 200210
10
Robel: synthesizing and controlling complex robust robot behaviors
200410
11 20028
12 20148
13 20086
14 20154
15 20143
16
Leaving Flatland: Efficient Real-Time 3D Navigation
20092
17 20231
18 20080

About Benoit Morisset

Benoit Morisset is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Computer Networks and Communications and Mechanical Engineering, having authored 18 papers that have together received 325 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (5 papers), AI-based Problem Solving and Planning (4 papers), Advanced Vision and Imaging (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Reinforcement Learning in Robotics (2 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Aerospace Engineering (135 citations), Computer Networks and Communications (110 citations), Geology (17 citations) and Mechanical Engineering (80 citations). Benoit Morisset has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Régis Vincent, Malik Ghallab, Charles L. Ortiz, Aravind Sundaresan, Michael Beetz, Motilal Agrawal, Radu Bogdan Rusu, Jean‐Claude Latombe, Kris Hauser and Jonathan Ko. Their work appears in journals such as Springer tracts in advanced robotics, Journal of Field Robotics, Computers & Graphics, Artificial Intelligence and Lecture notes in computer science.

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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