Antonio Bandera

1.9k total citations
104 papers, 1.1k citations indexed

About

Antonio Bandera is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Antonio Bandera has authored 104 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 30 papers in Aerospace Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Antonio Bandera's work include Robotics and Sensor-Based Localization (30 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Social Robot Interaction and HRI (16 papers). Antonio Bandera is often cited by papers focused on Robotics and Sensor-Based Localization (30 papers), Advanced Image and Video Retrieval Techniques (23 papers) and Social Robot Interaction and HRI (16 papers). Antonio Bandera collaborates with scholars based in Spain, France and United Kingdom. Antonio Bandera's co-authors include F. Sandoval, Ricardo Vázquez-Martín, Cristina Urdiales, Rebeca Marfil, Antonio J. Rubio, Pedro Núñez, Pablo Bustos, Luis Molina-Tanco, Luis V. Calderita and J.A. Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Antonio Bandera

96 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Bandera Spain 19 701 305 195 148 117 104 1.1k
M.C. Nechyba United States 16 357 0.5× 353 1.2× 164 0.8× 226 1.5× 76 0.6× 41 883
Ramón Barber Spain 16 402 0.6× 274 0.9× 204 1.0× 267 1.8× 144 1.2× 79 780
Cristina Urdiales Spain 17 446 0.6× 191 0.6× 102 0.5× 141 1.0× 110 0.9× 101 875
Jannik Fritsch Germany 17 829 1.2× 161 0.5× 306 1.6× 179 1.2× 291 2.5× 59 1.4k
Dan Levi Israel 13 1.1k 1.6× 192 0.6× 166 0.9× 75 0.5× 95 0.8× 20 1.6k
Miguel Oliveira Portugal 18 409 0.6× 204 0.7× 116 0.6× 133 0.9× 63 0.5× 70 827
Mårten Björkman Sweden 17 559 0.8× 331 1.1× 175 0.9× 374 2.5× 49 0.4× 74 976
Danilo Avola Italy 22 614 0.9× 158 0.5× 272 1.4× 60 0.4× 63 0.5× 72 1.1k
Michael Wolf United States 15 425 0.6× 232 0.8× 117 0.6× 203 1.4× 45 0.4× 43 1.2k
Y. Yemez Türkiye 20 933 1.3× 121 0.4× 238 1.2× 185 1.3× 128 1.1× 93 1.4k

Countries citing papers authored by Antonio Bandera

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Bandera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Bandera

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Bandera. A scholar is included among the top collaborators of Antonio Bandera 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 Antonio Bandera. Antonio Bandera 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.
Pons, Odile, et al.. (2025). CRDT-based knowledge synchronisation in an Internet of Robotics Things ecosystem for Ambient Assisted Living. Computer Vision and Image Understanding. 259. 104437–104437. 1 indexed citations
2.
3.
Ferraz, Luis, et al.. (2024). Footbots: A Transformer-Based Architecture for Motion Prediction in Soccer. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2313–2319. 1 indexed citations
4.
Bandera, Antonio, et al.. (2023). Vision-based techniques for automatic marine plankton classification. Artificial Intelligence Review. 56(11). 12853–12884. 2 indexed citations
5.
Bandera, Antonio, et al.. (2023). Evolution of Socially-Aware Robot Navigation. Electronics. 12(7). 1570–1570. 12 indexed citations
6.
Bandera, Antonio, et al.. (2023). Endowing Runtime Self-adaptation to an Autonomous Pallet Truck. 14. 99–104. 1 indexed citations
7.
Tapus, Adriana, Antonio Bandera, Ricardo Vázquez-Martín, & Luis V. Calderita. (2018). Perceiving the person and their interactions with the others for social robotics – A review. Pattern Recognition Letters. 118. 3–13. 34 indexed citations
8.
Bandera, Antonio, et al.. (2018). Quad-RRT: A real-time GPU-based global path planner in large-scale real environments. Expert Systems with Applications. 99. 141–154. 27 indexed citations
9.
Martínez-Gómez, Jesús, Rebeca Marfil, Antonio J. Rubio, et al.. (2014). Toward Social Cognition in Robotics: Extracting and Internalizing Meaning from Perception. Repositorio Institucional de la Universidad de Málaga (University of Málaga). 93–104. 7 indexed citations
10.
Marfil, Rebeca, et al.. (2014). Combining segmentation and attention: a new foveal attention model. Frontiers in Computational Neuroscience. 8. 96–96. 4 indexed citations
11.
Marfil, Rebeca, et al.. (2012). Visual Attention Mechanism for a Social Robot. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Rubio, Antonio J., J.A. Rodríguez, Luis Molina-Tanco, & Antonio Bandera. (2012). A SURVEY OF VISION-BASED ARCHITECTURES FOR ROBOT LEARNING BY IMITATION. International Journal of Humanoid Robotics. 9(1). 1250006–1250006. 33 indexed citations
13.
Marfil, Rebeca, et al.. (2012). Combining boundary and region features inside the combinatorial pyramid for topology-preserving perceptual image segmentation. Pattern Recognition Letters. 33(16). 2245–2253. 2 indexed citations
14.
Vázquez-Martín, Ricardo & Antonio Bandera. (2012). Unified framework for recognition, localization and mapping using wearable cameras. Cognitive Processing. 13(S1). 351–354. 2 indexed citations
15.
Vázquez-Martín, Ricardo, et al.. (2006). Feature extraction from laser scan data based on curvature estimation for mobile robotics. 38. 1167–1172. 42 indexed citations
16.
Urdiales, Cristina, et al.. (2003). Real time position estimation for mobile robots by means of sonar sensors. 2. 1650–1655. 2 indexed citations
17.
Pérez, Eduardo, et al.. (2002). Efficient integration of metric and topological maps for directed exploration of unknown environments. Robotics and Autonomous Systems. 41(1). 21–39. 18 indexed citations
18.
Bandera, Antonio, Cristina Urdiales, & F. Sandoval. (2002). An hierarchical approach to grid-based and topological maps integration for autonomous indoor navigation. 2. 883–888. 10 indexed citations
19.
Rodríguez, J.A., Cristina Urdiales, Antonio Bandera, & F. Sandoval. (2001). Hierarchical Video Segmentation: A New Spatio-temporal Approach.. 462–466. 1 indexed citations
20.
Urdiales, Cristina, et al.. (2001). Planar shape recognition based on hidden Markovmodels. Electronics Letters. 37(24). 1448–1449.

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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