Joseba Urzelai

22 total papers · 627 total citations
15 papers, 335 citations indexed

About

Joseba Urzelai is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joseba Urzelai has authored 15 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Mechanical Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joseba Urzelai's work include Evolutionary Algorithms and Applications (10 papers), Reinforcement Learning in Robotics (9 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Joseba Urzelai is often cited by papers focused on Evolutionary Algorithms and Applications (10 papers), Reinforcement Learning in Robotics (9 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Joseba Urzelai collaborates with scholars based in Switzerland and Spain. Joseba Urzelai's co-authors include Dario Floreano, Marco Dorigo and Marco Colombetti and has published in prestigious journals such as Neural Networks, Autonomous Robots and Evolutionary Computation.

In The Last Decade

Joseba Urzelai

14 papers receiving 290 citations

Author Peers

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

Author Last Decade Papers Cites
Joseba Urzelai 244 70 57 46 35 15 335
Tom Smith 211 0.9× 95 1.4× 43 0.8× 31 0.7× 20 0.6× 22 350
Agnès Guillot 104 0.4× 159 2.3× 27 0.5× 20 0.4× 22 0.6× 22 385
Mark Edmonds 179 0.7× 60 0.9× 57 1.0× 28 0.6× 117 3.3× 19 401
Ruiji Sun 182 0.7× 32 0.5× 21 0.4× 43 0.9× 27 0.8× 27 299
Eric Chown 119 0.5× 77 1.1× 19 0.3× 23 0.5× 19 0.5× 21 402
Jimmy Secretan 224 0.9× 31 0.4× 36 0.6× 9 0.2× 14 0.4× 21 347
Jonas Degrave 146 0.6× 56 0.8× 22 0.4× 56 1.2× 69 2.0× 16 303
Noriaki Mitsunaga 120 0.5× 66 0.9× 33 0.6× 8 0.2× 116 3.3× 20 342
Shoichi Noda 244 1.0× 19 0.3× 30 0.5× 11 0.2× 87 2.5× 11 320
Tijn van der Zant 183 0.8× 29 0.4× 44 0.8× 57 1.2× 102 2.9× 19 385

Countries citing papers authored by Joseba Urzelai

Since Specialization
Citations

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

Fields of papers citing papers by Joseba Urzelai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseba Urzelai

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