Francis Colas

3.4k total citations · 2 hit papers
33 papers, 1.8k citations indexed

About

Francis Colas is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Francis Colas has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Aerospace Engineering, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Social Psychology. Recurrent topics in Francis Colas's work include Robotics and Sensor-Based Localization (12 papers), 3D Surveying and Cultural Heritage (6 papers) and Astro and Planetary Science (6 papers). Francis Colas is often cited by papers focused on Robotics and Sensor-Based Localization (12 papers), 3D Surveying and Cultural Heritage (6 papers) and Astro and Planetary Science (6 papers). Francis Colas collaborates with scholars based in Switzerland, France and United States. Francis Colas's co-authors include Roland Siegwart, François Pomerleau, Stéphane Magnenat, Ming Liu, José del R. Millán, Ricardo Chavarriaga, Tomáš Svoboda, Pierre Bessìère, Pauline Maurice and Serena Ivaldi and has published in prestigious journals such as Astronomy and Astrophysics, The International Journal of Robotics Research and Biological Cybernetics.

In The Last Decade

Francis Colas

32 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparing ICP variants on real-world data sets

2013 531 citations François Pomerleau, Francis Colas et al. Autonomous Robots profile →
A Review of Point Cloud Registration Algorithms for Mobile Robotics

2015 455 citations François Pomerleau, Francis Colas et al. HAL (Le Centre pour la Communication Scientifique Directe) profile →

Peers

Francis Colas

AE

CVPR

GEOLO

EE

CM

Heng Yang China

Denis Laurendeau Canada

Naokazu Yokoya Japan

Christopher Zach United States

Tian Fang China

Zhaopeng Cui China

Richard Newcombe United States

Andrea Fusiello Italy

Manolis Lourakis Greece

Zhanyi Hu China

Heng Yang China

Francis Colas

692 ×0.6

AE

903 ×1.2

CVPR

348 ×0.6

GEOLO

211 ×0.5

EE

215 ×0.8

CM

Citations per year, relative to Francis Colas Francis Colas (= 1×) peers Heng Yang

Countries citing papers authored by Francis Colas

Since Specialization

Citations

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

Fields of papers citing papers by Francis Colas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Colas

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Colas. A scholar is included among the top collaborators of Francis Colas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francis Colas. Francis Colas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Mouret, Jean-Baptiste, et al.. (2023). Workstation Suitability Maps: Generating Ergonomic Behaviors on a Population of Virtual Humans With Multi-Task Optimization. IEEE Robotics and Automation Letters. 8(11). 7384–7391. 2 indexed citations

2.

Colas, Francis, et al.. (2021). Solving infinite-horizon Dec-POMDPs using Finite State Controllers within JESP. arXiv (Cornell University). 45. 427–434. 2 indexed citations

3.

Colas, Francis, et al.. (2019). Motion planning for robot audition. Autonomous Robots. 43(8). 2293–2317. 6 indexed citations

4.

Pomerleau, François, Francis Colas, & Roland Siegwart. (2015). A Review of Point Cloud Registration Algorithms for Mobile Robotics. HAL (Le Centre pour la Communication Scientifique Directe). 4(1). 1–104. 455 indexed citations breakdown →

5.

Pomerleau, François, Francis Colas, & Roland Siegwart. (2015). A Review of Point Cloud Registration Algorithms for Mobile Robotics. now publishers, Inc. eBooks. 47 indexed citations

6.

Colas, Francis, et al.. (2013). 3D path planning and execution for search and rescue ground robots. HAL (Le Centre pour la Communication Scientifique Directe). 722–727. 61 indexed citations

7.

Pomerleau, François, Francis Colas, Roland Siegwart, & Stéphane Magnenat. (2013). Comparing ICP variants on real-world data sets. Autonomous Robots. 34(3). 133–148. 531 indexed citations breakdown →

8.

Liu, Ming, François Pomerleau, Francis Colas, & Roland Siegwart. (2012). Normal estimation for pointcloud using GPU based sparse tensor voting. HAL (Le Centre pour la Communication Scientifique Directe). 91–96. 28 indexed citations

9.

Colas, Francis, B. Zanda, Pierre Vernazza, et al.. (2012). FRIPON) Fireball Recovery and Interplanetary Matter Observation Network. 1667. 6426.

10.

Pomerleau, François, Stéphane Magnenat, Francis Colas, Ming Liu, & Roland Siegwart. (2011). Tracking a Depth Camera: Parameter Exploration for Fast ICP. Repository for Publications and Research Data (ETH Zurich). 55 indexed citations

11.

Pomerleau, François, Stéphane Magnenat, Francis Colas, Ming Liu, & Roland Siegwart. (2011). Tracking a depth camera: Parameter exploration for fast ICP. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 4 indexed citations

12.

Colas, Francis, Julien Diard, & Pierre Bessìère. (2010). Common Bayesian Models for Common Cognitive Issues. Acta Biotheoretica. 58(2-3). 191–216. 26 indexed citations

13.

Chavarriaga, Ricardo, et al.. (2010). Brain-coupled interaction for semi-autonomous navigation of an assistive robot. Robotics and Autonomous Systems. 58(12). 1246–1255. 86 indexed citations

14.

Pomerleau, François, et al.. (2010). Recent Development of the Iterative Closest Point (ICP) Algorithm. 2 indexed citations

15.

Colas, Francis, et al.. (2009). Bayesian models of eye movement selection with retinotopic maps. Biological Cybernetics. 100(3). 203–214. 7 indexed citations

16.

Colas, Francis, et al.. (2007). A unified probabilistic model of the perception of three-dimensional structure from optic flow. Biological Cybernetics. 97(5-6). 461–477. 11 indexed citations

17.

Kaasalainen, M., T. Kwiatkowski, Masanao Abe, et al.. (2003). CCD photometry and model of MUSES-C target (25143) 1998 SF36. Astronomy and Astrophysics. 405(3). L29–L32. 43 indexed citations

18.

Bockelée–Morvan, D., N. Biver, P. Colom, et al.. (1995). Visible and Radio Observations of Comet 19P/Borrelly. DPS. 27. 5 indexed citations

19.

Jordá, L., Francis Colas, & J. Lecacheux. (1994). The dust jets of P/Swift-Tuttle 1992t. Planetary and Space Science. 42(9). 699–704. 12 indexed citations

20.

Jordá, L., Francis Colas, & J. Lecacheux. (1993). The Dust Jets of Comet P/Swift-Tuttle 1992t. LPICo. 810. 150. 2 indexed citations

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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