Héctor Azpúrua

586 citations
43 papers · 373 indexed · h-index 12
Topics
Robotics and Sensor-Based Localization (18 papers)Robotic Path Planning Algorithms (12 papers)Indoor and Outdoor Localization Technologies (10 papers)
Partner nations
BrazilFrance

In The Last Decade

Héctor Azpúrua

38 papers receiving 359 citations

Peers

Héctor Azpúrua
Comparison fields: 5 of 55
  • Aerospace Engineering 187
  • Computer Vision and Pattern Recognition 172
  • Mechanical Engineering 104
  • Control and Systems Engineering 72
  • Electrical and Electronic Engineering 61
Replace Aurélio G. Melo with:
Aurélio G. Melo Brazil
Dariusz Kominiak Sweden
Antun Ivanović Croatia
Francisco J. Pérez-Grau Spain
MD. Faiyaz Ahmed India
Luis E. González-Jiménez Mexico
Thomas Wiemann Germany
Tran Hiep Dinh Australia
Xiaoxi Gong China
Héctor Azpúrua relative to Aurélio G. Melo Brazil Aurélio G. Melo's profile →
Citations per field
00.5×4.5×
Aurélio G. Melo · 1×
Citations per year

Countries citing papers authored by Héctor Azpúrua

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Azpúrua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Azpúrua

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Azpúrua. A scholar is included among the top collaborators of Héctor Azpúrua 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 Héctor Azpúrua. Héctor Azpúrua 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
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5 26
6 2
7 13
8 5
9 0
10 1
11 5
12 1
13 1
14 1
15 14
16 12
17 2
18 6
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About Héctor Azpúrua

Héctor Azpúrua is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 43 papers that have together received 373 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (12 papers) and Indoor and Outdoor Localization Technologies (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (172 citations), Aerospace Engineering (187 citations) and Geology (41 citations). Héctor Azpúrua has collaborated with scholars based in Brazil and France. Frequent co-authors include Gustavo Freitas, Gustavo Pessin, Douglas G. Macharet, Mário F. M. Campos, Luiz Chaimowicz, Armando Alves Neto, Andrea Bianchi, Ricardo Oliveira, Luis G. Uzeda Garcia and Ali‐akbar Agha‐mohammadi. Their work appears in journals such as Sensors, Robotics and Autonomous Systems and IEEE Transactions on Automation Science and Engineering.

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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