Luis Riazuelo

1.1k total citations
25 papers, 724 citations indexed

About

Luis Riazuelo is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Luis Riazuelo has authored 25 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Luis Riazuelo's work include Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Luis Riazuelo is often cited by papers focused on Robotics and Sensor-Based Localization (14 papers), Robotic Path Planning Algorithms (9 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Luis Riazuelo collaborates with scholars based in Spain, Netherlands and Germany. Luis Riazuelo's co-authors include J. M. M. Montiel, Javier Civera, Luis Montano, Juan D. Tardós, José Luis Villarroel, Danilo Tardioli, Didiana Gálvez-López, Ana C. Murillo, Íñigo Alonso and Dorian Gálvez‐López and has published in prestigious journals such as Sensors, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Luis Riazuelo

22 papers receiving 702 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luis Riazuelo Spain 13 391 363 210 197 165 25 724
Arturo Gil Spain 16 582 1.5× 600 1.7× 157 0.7× 109 0.6× 135 0.8× 60 862
Michael Trentini Canada 15 495 1.3× 357 1.0× 205 1.0× 84 0.4× 146 0.9× 45 814
Titus Cieslewski Switzerland 13 557 1.4× 502 1.4× 120 0.6× 111 0.6× 79 0.5× 20 771
Benson Limketkai United States 9 472 1.2× 446 1.2× 61 0.3× 219 1.1× 137 0.8× 12 698
Sina Sharif Mansouri Sweden 14 316 0.8× 311 0.9× 149 0.7× 109 0.6× 42 0.3× 52 620
Yun Chang United States 11 474 1.2× 391 1.1× 86 0.4× 66 0.3× 101 0.6× 15 670
Michael Achtelik Germany 11 679 1.7× 520 1.4× 273 1.3× 96 0.5× 43 0.3× 11 911
Daniel Heřt Czechia 12 396 1.0× 385 1.1× 161 0.8× 149 0.8× 46 0.3× 17 592
Shaowu Yang China 15 487 1.2× 512 1.4× 84 0.4× 63 0.3× 55 0.3× 76 747
Osman Parlaktuna Türkiye 11 258 0.7× 268 0.7× 173 0.8× 155 0.8× 95 0.6× 44 533

Countries citing papers authored by Luis Riazuelo

Since Specialization
Citations

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

Fields of papers citing papers by Luis Riazuelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Riazuelo

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Riazuelo. A scholar is included among the top collaborators of Luis Riazuelo 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 Luis Riazuelo. Luis Riazuelo 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
1.
Riazuelo, Luis, et al.. (2025). SHINE: Social homology identification for navigation in crowded environments. The International Journal of Robotics Research. 45(1). 60–79.
2.
Riazuelo, Luis, et al.. (2025). RUMOR: Reinforcement learning for understanding a model of the real world for navigation in dynamic environments. Robotics and Autonomous Systems. 191. 105020–105020. 1 indexed citations
3.
Riazuelo, Luis, et al.. (2025). DWA-3D: A reactive planner for robust and efficient autonomous UAV navigation in confined environments. Robotics and Autonomous Systems. 195. 105196–105196.
4.
Riazuelo, Luis, et al.. (2025). Automated vision-based assistance tools in bronchoscopy: stenosis severity estimation. International Journal of Computer Assisted Radiology and Surgery. 20(8). 1733–1740. 1 indexed citations
5.
6.
Riazuelo, Luis, et al.. (2023). Long-Range Navigation in Complex and Dynamic Environments with Full-Stack S-DOVS. Applied Sciences. 13(15). 8925–8925. 5 indexed citations
7.
Sostres, Carlos, Ángel Ferrández, Luis Riazuelo, et al.. (2023). Endomapper dataset of complete calibrated endoscopy procedures. Scientific Data. 10(1). 671–671. 25 indexed citations
8.
Riazuelo, Luis, et al.. (2023). Improving robot navigation in crowded environments using intrinsic rewards. Zaguan (Universidad de Zaragoza). 9428–9434. 7 indexed citations
9.
Riazuelo, Luis, et al.. (2022). RL-DOVS: Reinforcement Learning for Autonomous Robot Navigation in Dynamic Environments. Sensors. 22(10). 3847–3847. 8 indexed citations
10.
Alonso, Íñigo, Luis Riazuelo, Luis Montesano, & Ana C. Murillo. (2021). Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions. Zaguan (University of Zaragoza Repository). 330–337. 10 indexed citations
11.
Alonso, Íñigo, Luis Riazuelo, & Ana C. Murillo. (2020). MiniNet: An Efficient Semantic Segmentation ConvNet for Real-Time Robotic Applications. IEEE Transactions on Robotics. 36(4). 1340–1347. 37 indexed citations
12.
Riazuelo, Luis, Luis Montano, & J. M. M. Montiel. (2017). Semantic visual SLAM in populated environments. 1–7. 23 indexed citations
13.
Riazuelo, Luis, Moritz Tenorth, Dorian Gálvez‐López, et al.. (2015). RoboEarth Semantic Mapping: A Cloud Enabled Knowledge-Based Approach. IEEE Transactions on Automation Science and Engineering. 12(2). 432–443. 76 indexed citations
14.
Tardioli, Danilo, et al.. (2015). Robot Teams for Intervention in Confined and Structured Environments. Journal of Field Robotics. 33(6). 765–801. 28 indexed citations
15.
Tardioli, Danilo, et al.. (2013). Signal-based deployment planning for robot teams in tunnel-like fading environments. The International Journal of Robotics Research. 32(12). 1381–1397. 25 indexed citations
16.
Riazuelo, Luis, Javier Civera, & J. M. M. Montiel. (2013). C2TAM: A Cloud framework for cooperative tracking and mapping. Robotics and Autonomous Systems. 62(4). 401–413. 188 indexed citations
17.
Koch, Andreas, Oliver Zweigle, Kai Häußermann, et al.. (2012). Creating and using RoboEarth object models. TU/e Research Portal. 3549–3550. 13 indexed citations
18.
Civera, Javier, Dorian Gálvez‐López, Luis Riazuelo, Juan D. Tardós, & J. M. M. Montiel. (2011). Towards semantic SLAM using a monocular camera. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 17 indexed citations
19.
Civera, Javier, Didiana Gálvez-López, Luis Riazuelo, Juan D. Tardós, & J. M. M. Montiel. (2011). Towards semantic SLAM using a monocular camera. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 1277–1284. 115 indexed citations
20.
Riazuelo, Luis, et al.. (2008). Cooperative navigation using environment compliant robot formations. IRIS Research product catalog (Sapienza University of Rome). 2789–2794. 28 indexed citations

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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