Francisco Martí­n

1.5k total citations
64 papers, 801 citations indexed

About

Francisco Martí­n is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Francisco Martí­n has authored 64 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 13 papers in Aerospace Engineering. Recurrent topics in Francisco Martí­n's work include Robotic Path Planning Algorithms (16 papers), Modular Robots and Swarm Intelligence (12 papers) and Robotics and Sensor-Based Localization (12 papers). Francisco Martí­n is often cited by papers focused on Robotic Path Planning Algorithms (16 papers), Modular Robots and Swarm Intelligence (12 papers) and Robotics and Sensor-Based Localization (12 papers). Francisco Martí­n collaborates with scholars based in Spain, Luxembourg and France. Francisco Martí­n's co-authors include Jonatan Ginés, Vicente Matellán Olivera, Steve Macenski, José María Plaza, Ruffin White, Francisco J. Rodríguez-Lera, Meritxell Valentí, Ángel Manuel Guerrero‐Higueras, Pablo Martínez Martín and Marc Bouissou and has published in prestigious journals such as Sensors, Pattern Recognition Letters and Applied Sciences.

In The Last Decade

Francisco Martí­n

57 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Martí­n Spain 14 244 195 188 147 125 64 801
José María Plaza Spain 14 198 0.8× 111 0.6× 149 0.8× 103 0.7× 86 0.7× 64 685
Paulo Menezes Portugal 20 322 1.3× 123 0.6× 152 0.8× 171 1.2× 76 0.6× 100 966
E. Einhorn Germany 16 389 1.6× 162 0.8× 263 1.4× 153 1.0× 216 1.7× 24 762
A. Bley Germany 11 260 1.1× 183 0.9× 310 1.6× 154 1.0× 74 0.6× 14 612
Loulin Huang New Zealand 14 268 1.1× 95 0.5× 94 0.5× 310 2.1× 164 1.3× 84 793
Ho Seok Ahn New Zealand 21 252 1.0× 408 2.1× 559 3.0× 263 1.8× 66 0.5× 93 1.5k
Birgit Graf Germany 11 278 1.1× 189 1.0× 279 1.5× 219 1.5× 69 0.6× 25 733
Chandimal Jayawardena New Zealand 16 174 0.7× 311 1.6× 380 2.0× 220 1.5× 37 0.3× 65 840
Maja Matarić United States 10 232 1.0× 276 1.4× 282 1.5× 99 0.7× 55 0.4× 15 824
Christopher Baker United States 13 362 1.5× 107 0.5× 113 0.6× 127 0.9× 367 2.9× 29 1.0k

Countries citing papers authored by Francisco Martí­n

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Martí­n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Martí­n

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Martí­n. A scholar is included among the top collaborators of Francisco Martí­n 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 Francisco Martí­n. Francisco Martí­n 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.
Martí­n, Francisco, et al.. (2025). Towards a robotic intrusion prevention system: Combining security and safety in cognitive social robots. Robotics and Autonomous Systems. 190. 104959–104959.
2.
Roldán, Juan Jesús, et al.. (2023). An autonomous ground robot to support firefighters' interventions in indoor emergencies. Journal of Field Robotics. 40(3). 614–625. 5 indexed citations
3.
Ginés, Jonatan, et al.. (2022). Impact of decision-making system in social navigation. Multimedia Tools and Applications. 81(3). 3459–3481. 3 indexed citations
4.
Rodríguez-Lera, Francisco J., et al.. (2022). Towards explainability in robotics: A performance analysis of a cloud accountability system. Expert Systems. 39(9). 1 indexed citations
5.
Martí­n, Francisco, et al.. (2021). Semantic 3D Mapping from Deep Image Segmentation. Applied Sciences. 11(4). 1953–1953. 2 indexed citations
6.
Martí­n, Francisco, et al.. (2021). Optimized Execution of PDDL Plans using Behavior Trees. 1596–1598.
7.
Martí­n, Francisco, Francisco J. Rodríguez-Lera, Jonatan Ginés, Ángel Manuel Guerrero‐Higueras, & Vicente Matellán Olivera. (2020). An Acceptance Test for Assistive Robots. Sensors. 20(14). 3912–3912. 18 indexed citations
8.
Ginés, Jonatan, et al.. (2020). Depicting probabilistic context awareness knowledge in deliberative architectures. Natural Computing. 21(4). 565–576. 2 indexed citations
9.
Ginés, Jonatan, et al.. (2019). Social Navigation in a Cognitive Architecture Using Dynamic Proxemic Zones. Sensors. 19(23). 5189–5189. 12 indexed citations
10.
Rodríguez-Lera, Francisco J., Francisco Martí­n, Ángel Manuel Guerrero‐Higueras, & Vicente Matellán Olivera. (2019). A context‐awareness model for activity recognition in robot‐assisted scenarios. Expert Systems. 37(2). 12 indexed citations
11.
García‐Rodríguez, José, Francisco Gomez‐Donoso, Sergiu Oprea, et al.. (2019). COMBAHO: A deep learning system for integrating brain injury patients in society. Pattern Recognition Letters. 137. 80–90. 2 indexed citations
12.
Martí­n, Francisco, et al.. (2018). Planning Topological Navigation for Complex Indoor Environments. 5 indexed citations
13.
Martí­n, Francisco, et al.. (2017). Dynamics maps for long-term autonomy. Open Repository and Bibliography (University of Luxembourg). pp 99. 85–90. 1 indexed citations
14.
Rodríguez-Lera, Francisco J., Francisco Martí­n, & Vicente Matellán Olivera. (2017). Context Awareness in shared human-robot Environments: Benefits of Environment Acoustic Recognition for User Activity Classification. Open Repository and Bibliography (University of Luxembourg). 24 (6 .)–24 (6 .). 3 indexed citations
15.
Valentí, Meritxell, Luis Agüera-Ortíz, Javier Olazarán Rodríguez, et al.. (2015). Social robots in advanced dementia. Frontiers in Aging Neuroscience. 7. 133–133. 176 indexed citations
16.
Martí­n, Francisco, et al.. (2013). Robots in therapy for dementia patients. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 7(1). 49–56. 34 indexed citations
17.
Martí­n, Francisco, Carlos Agüero, José María Plaza, Meritxell Valentí, & Pablo Martínez‐Martín. (2013). Robotherapy with Dementia Patients. International Journal of Advanced Robotic Systems. 10(1). 31 indexed citations
18.
Martí­n, Francisco, Vicente Matellán Olivera, Pablo M. de la Barrera, & José María Plaza. (2007). Localization of legged robots combining a fuzzy-Markov method and a population of extended Kalman filters. Robotics and Autonomous Systems. 55(12). 870–880. 14 indexed citations
19.
Barrera, Pablo M. de la, Gregório Robles, José María Plaza, Francisco Martí­n, & Vicente Matellán Olivera. (2005). Impact of libre software tools and methods in the robotics field. 1–6. 1 indexed citations
20.
Robert, Robert, et al.. (1991). OBSERVING THE HEAT EQUATION ON A TORUS ALONG A DENSE GEODESIC. 系统科学与复杂性:英文版. 186–192. 1 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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