Andrea Censi

84 papers receiving 2.3k citations

Hit Papers

An ICP variant using a point-to-line metric200820262014202020082020100200300400

Peers

Andrea Censi
Comparison fields: 5 of 98
  • Aerospace Engineering 1.3k
  • Computer Vision and Pattern Recognition 1.0k
  • Electrical and Electronic Engineering 751
  • Artificial Intelligence 373
  • Control and Systems Engineering 312
Replace Jean‐Christophe Zufferey with:
Jean‐Christophe Zufferey Switzerland
Lindsay Kleeman Australia
Agostino Martinelli France
Dirk Hähnel Germany
Vijay Kumar United States
Stan Birchfield United States
Edwin Olson United States
Niko Sünderhauf Australia
Kari Pulli United States
Martin Lauer Germany
Andrea Censi relative to Jean‐Christophe Zufferey Switzerland Jean‐Christophe Zufferey's profile →
Citations per field
00.5×2.9×
Jean‐Christophe Zufferey · 1×
Citations per year

Countries citing papers authored by Andrea Censi

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Censi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Censi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Censi. A scholar is included among the top collaborators of Andrea Censi 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 Andrea Censi. Andrea Censi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 1
4 8
5 1
6 7
7 1
8 13
9
A Formal Approach to the Co-Design of Embodied Intelligence.
4
10 31
11 2
12 10
13 9
14 42
15 1
16 2
17
OpenRDK: a framework for rapid and concurrent software prototyping
3
18
An ICP variant using a point-to-line metricbreakdown →
466
19 150
20
Intelligent Systems for Search and Rescue
1

About Andrea Censi

Andrea Censi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 87 papers that have together received 2.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (25 papers), Robotic Path Planning Algorithms (12 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Aerospace Engineering (1.3k citations), Computer Vision and Pattern Recognition (1.0k citations) and Geology (274 citations). Andrea Censi has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Davide Scaramuzza, Tobi Delbrück, Richard M. Murray, Emilio Frazzoli, Luca Carlone, Kostas Daniilidis, Luca Iocchi, Giuseppe Oriolo, Brian Taba and Jörg Conradt. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

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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