Enric Galceran

3.4k citations
32 papers · 2.3k indexed · 1 hit paper · h-index 20
Topics
Robotic Path Planning Algorithms (20 papers)Robotics and Sensor-Based Localization (18 papers)Underwater Vehicles and Communication Systems (15 papers)
Journals
SHILAP Revista de lepidopterologíaRobotics and Autonomous SystemsAutonomous Robots

In The Last Decade

Enric Galceran

31 papers receiving 2.3k citations

Hit Papers

A survey on coverage path planning for robotics201320262017202120132505007501000

Peers

Enric Galceran
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 1.7k
  • Aerospace Engineering 1.3k
  • Ocean Engineering 476
  • Control and Systems Engineering 475
  • Computer Networks and Communications 365
Replace Fei Gao with:
Fei Gao China
Stefano Carpin United States
Jan Faigl Czechia
Alonzo Kelly United States
Geoffrey A. Hollinger United States
Boyu Zhou Hong Kong
Thierry Fraichard France
Yoshiaki Kuwata United States
Dezhen Song United States
P. B. Sujit India
Enric Galceran relative to Fei Gao China Fei Gao's profile →
Citations per field
00.5×5.2×
Fei Gao · 1×
Citations per year

Countries citing papers authored by Enric Galceran

Since Specialization
Citations

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

Fields of papers citing papers by Enric Galceran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enric Galceran

This figure shows the co-authorship network connecting the top 25 collaborators of Enric Galceran. A scholar is included among the top collaborators of Enric Galceran 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 Enric Galceran. Enric Galceran 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
1 101
2 66
3 173
4 46
5 61
6 18
7 78
8 22
9 9
10 90
11 7
12 49
13 11
14 97
15
Automating seafloor inspection using autonomous underwater vehicles
0
16 44
17 29
18 2
19 52
20 6

About Enric Galceran

Enric Galceran is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (20 papers), Robotics and Sensor-Based Localization (18 papers) and Underwater Vehicles and Communication Systems (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Aerospace Engineering (1.3k citations) and Ocean Engineering (476 citations). Enric Galceran has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Marc Carreras, Roland Siegwart, Ryan M. Eustice, Edwin Olson, Juan Nieto, Alexander Cunningham, Helen Oleynikova, Zachary Taylor, Michael Burri and Pere Ridao. Their work appears in journals such as SHILAP Revista de lepidopterología, Robotics and Autonomous Systems and Autonomous Robots.

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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