Martín Azkarate

33 total papers · 712 total citations
17 papers, 152 citations indexed

About

Martín Azkarate is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martín Azkarate has authored 17 papers receiving a total of 152 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 9 papers in Aerospace Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Martín Azkarate's work include Planetary Science and Exploration (11 papers), Robotic Path Planning Algorithms (6 papers) and Astro and Planetary Science (6 papers). Martín Azkarate is often cited by papers focused on Planetary Science and Exploration (11 papers), Robotic Path Planning Algorithms (6 papers) and Astro and Planetary Science (6 papers). Martín Azkarate collaborates with scholars based in Netherlands, Spain and France. Martín Azkarate's co-authors include Carlos J. Pérez-del-Pulgar, J. Ricardo Sánchez-Ibáñez, Alfonso García-Cerezo, Luc Joudrier, Emmanouil Tsardoulias, Evangelos Boukas, Loukas Petrou, C. Pérez del Pulgar, Dimitrios Geromichalos and Gianfranco Visentin and has published in prestigious journals such as The International Journal of Robotics Research, Engineering Applications of Artificial Intelligence and Scientific Data.

In The Last Decade

Martín Azkarate

14 papers receiving 148 citations

Author Peers

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

Author Last Decade Papers Cites
Martín Azkarate 97 92 44 26 15 17 152
Shashank Govindaraj 120 1.2× 60 0.7× 89 2.0× 21 0.8× 21 1.4× 17 215
Shreyansh Daftry 125 1.3× 103 1.1× 46 1.0× 19 0.7× 8 0.5× 23 216
Michael Paton 155 1.6× 159 1.7× 19 0.4× 21 0.8× 20 1.3× 16 250
Gianfranco Visentin 153 1.6× 79 0.9× 77 1.8× 18 0.7× 37 2.5× 23 211
Maximilian Durner 114 1.2× 124 1.3× 19 0.4× 82 3.2× 15 1.0× 23 234
Riccardo Giubilato 187 1.9× 137 1.5× 27 0.6× 25 1.0× 10 0.7× 27 248
Mallikarjuna Vayugundla 79 0.8× 58 0.6× 35 0.8× 11 0.4× 8 0.5× 12 112
Ruyi Zhou 41 0.4× 54 0.6× 13 0.3× 48 1.8× 76 5.1× 14 162
Charles Bergh 111 1.1× 67 0.7× 31 0.7× 76 2.9× 74 4.9× 10 213
Jeff Delaune 212 2.2× 110 1.2× 53 1.2× 6 0.2× 5 0.3× 29 258

Countries citing papers authored by Martín Azkarate

Since Specialization
Citations

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

Fields of papers citing papers by Martín Azkarate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martín Azkarate

This figure shows the co-authorship network connecting the top 25 collaborators of Martín Azkarate. A scholar is included among the top collaborators of Martín Azkarate 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 Martín Azkarate. Martín Azkarate 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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