Héctor Azpúrua

82 total papers · 579 total citations
43 papers, 363 citations indexed

About

Héctor Azpúrua is a scholar working on Aerospace Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Héctor Azpúrua has authored 43 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 16 papers in Mechanical Engineering and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Héctor Azpúrua's work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (12 papers) and Indoor and Outdoor Localization Technologies (10 papers). Héctor Azpúrua is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (12 papers) and Indoor and Outdoor Localization Technologies (10 papers). Héctor Azpúrua collaborates with scholars based in Brazil and France. Héctor Azpúrua's co-authors include Gustavo Freitas, Douglas G. Macharet, Gustavo Pessin, Mário F. M. Campos, Luiz Chaimowicz, Armando Alves Neto, Andrea Bianchi, Ricardo Oliveira, Luis G. Uzeda Garcia and Ali‐akbar Agha‐mohammadi and has published in prestigious journals such as Sensors, Robotics and Autonomous Systems and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Héctor Azpúrua

38 papers receiving 350 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Héctor Azpúrua	179	165	104	70	60	43	363
Weinan Chen	207 1.2×	219 1.3×	51 0.5×	69 1.0×	40 0.7×	59	401
Ilya Afanasyev	205 1.1×	233 1.4×	47 0.5×	114 1.6×	40 0.7×	32	402
Marko Car	171 1.0×	142 0.9×	69 0.7×	82 1.2×	37 0.6×	24	348
Muhammad Ilyas	113 0.6×	80 0.5×	54 0.5×	44 0.6×	58 1.0×	44	377
Jiang Bian	112 0.6×	112 0.7×	113 1.1×	32 0.5×	43 0.7×	28	347
Javier Pérez	167 0.9×	177 1.1×	75 0.7×	66 0.9×	41 0.7×	23	386
Héber Sobreira	220 1.2×	130 0.8×	40 0.4×	47 0.7×	59 1.0×	25	363
Åke Wernersson	216 1.2×	211 1.3×	39 0.4×	88 1.3×	68 1.1×	44	363
Luis E. González-Jiménez	103 0.6×	95 0.6×	103 1.0×	103 1.5×	50 0.8×	33	368
Vincenzo Caglioti	195 1.1×	284 1.7×	60 0.6×	48 0.7×	51 0.8×	47	404

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

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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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