Anaís Garrell

1.3k total citations
44 papers, 785 citations indexed

About

Anaís Garrell is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Ocean Engineering. According to data from OpenAlex, Anaís Garrell has authored 44 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 21 papers in Social Psychology and 16 papers in Ocean Engineering. Recurrent topics in Anaís Garrell's work include Social Robot Interaction and HRI (20 papers), Evacuation and Crowd Dynamics (16 papers) and Robotic Path Planning Algorithms (11 papers). Anaís Garrell is often cited by papers focused on Social Robot Interaction and HRI (20 papers), Evacuation and Crowd Dynamics (16 papers) and Robotic Path Planning Algorithms (11 papers). Anaís Garrell collaborates with scholars based in Spain, France and Switzerland. Anaís Garrell's co-authors include Alberto Sanfeliu, Gonzalo Ferrer, Francesc Moreno-Noguer, Michael Villamizar, René Alquézar, Pablo Jiménez, Rachid Alami, Anne Spalanzani, Luis J. Manso and Francesco Zanlungo and has published in prestigious journals such as Sensors, The International Journal of Robotics Research and Neural Computing and Applications.

In The Last Decade

Anaís Garrell

39 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anaís Garrell Spain 16 425 333 268 190 181 44 785
Dražen Brščić Japan 15 292 0.7× 276 0.8× 244 0.9× 207 1.1× 185 1.0× 51 806
Alexandra Kirsch Germany 9 306 0.7× 315 0.9× 147 0.5× 151 0.8× 192 1.1× 24 622
Gonzalo Ferrer Russia 14 466 1.1× 195 0.6× 266 1.0× 151 0.8× 118 0.7× 42 736
Matthias Luber Germany 11 564 1.3× 149 0.4× 147 0.5× 249 1.3× 61 0.3× 13 776
Luis F. Marín-Urías Mexico 8 262 0.6× 263 0.8× 102 0.4× 105 0.6× 222 1.2× 24 528
Yu Fan Chen United States 9 439 1.0× 99 0.3× 169 0.6× 288 1.5× 138 0.8× 13 700
Christoforos Mavrogiannis United States 12 212 0.5× 151 0.5× 124 0.5× 148 0.8× 184 1.0× 33 586
Markus Kuderer Germany 8 244 0.6× 106 0.3× 107 0.4× 172 0.9× 241 1.3× 11 637
Xuan Tung Truong Vietnam 11 401 0.9× 183 0.5× 151 0.6× 89 0.5× 108 0.6× 35 570
Aniket Bera United States 14 574 1.4× 70 0.2× 221 0.8× 307 1.6× 114 0.6× 55 880

Countries citing papers authored by Anaís Garrell

Since Specialization
Citations

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

Fields of papers citing papers by Anaís Garrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anaís Garrell

This figure shows the co-authorship network connecting the top 25 collaborators of Anaís Garrell. A scholar is included among the top collaborators of Anaís Garrell 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 Anaís Garrell. Anaís Garrell 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.
Sanfeliu, Alberto, et al.. (2025). Enhancing Context-Aware Human Motion Prediction for Efficient Robot Handovers. QRU Quaderns de Recerca en Urbanisme. 16917–16922. 1 indexed citations
2.
Sanfeliu, Alberto, et al.. (2025). AI or Human? Understanding Perceptions of Embodied Robots with LLMs. 917–923.
3.
Garrell, Anaís, et al.. (2025). Dynamics of Mental Models: Objective Vs. Subjective User Understanding of a Robot in the Wild. IEEE Robotics and Automation Letters. 10(8). 7755–7762. 1 indexed citations
4.
Santamaria‐Navarro, Àngel, S. Hernández, Carlos Morón, et al.. (2024). Toward the Deployment of an Autonomous Last-Mile Delivery Robot in Urban Areas: The Ona Prototype Platform. IEEE Robotics & Automation Magazine. 32(3). 26–39.
5.
Ros, Raquel, et al.. (2024). Co-designing Explainable Robots: A Participatory Design Approach for HRI. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1564–1570. 1 indexed citations
6.
Jiménez, Pablo, et al.. (2023). Shared Task Representation for Human–Robot Collaborative Navigation: The Collaborative Search Case. International Journal of Social Robotics. 16(1). 145–171. 7 indexed citations
7.
Sanfeliu, Alberto, et al.. (2023). Body Gesture Recognition to Control a Social Mobile Robot. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 456–460. 1 indexed citations
8.
Sanfeliu, Alberto, et al.. (2022). Efficient Hand Gesture Recognition for Human-Robot Interaction. IEEE Robotics and Automation Letters. 7(4). 10272–10279. 29 indexed citations
9.
Hernández, S., et al.. (2022). IVO Robot: A New Social Robot for Human-Robot Collaboration. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 860–864. 13 indexed citations
10.
Garrell, Anaís, et al.. (2022). Initial Test of “BabyRobot” Behaviour on a Teleoperated Toy Substitution: Improving the Motor Skills of Toddlers. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 708–712. 3 indexed citations
11.
Garrell, Anaís, et al.. (2022). Context and Intention for 3D Human Motion Prediction: Experimentation and User study in Handover Tasks. 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). 630–635. 6 indexed citations
12.
Garrell, Anaís, et al.. (2021). Social Robot Navigation Tasks: Combining Machine Learning Techniques and Social Force Model. Sensors. 21(21). 7087–7087. 22 indexed citations
13.
Garrell, Anaís, et al.. (2019). Teaching a Drone to Accompany a Person from Demonstrations using Non-Linear ASFM. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1985–1991. 6 indexed citations
14.
Villamizar, Michael, Anaís Garrell, Alberto Sanfeliu, & Francesc Moreno-Noguer. (2016). Interactive multiple object learning with scanty human supervision. Computer Vision and Image Understanding. 149. 51–64. 7 indexed citations
15.
Ferrer, Gonzalo, et al.. (2016). Robot social-aware navigation framework to accompany people walking side-by-side. Autonomous Robots. 41(4). 775–793. 69 indexed citations
16.
Villamizar, Michael, Anaís Garrell, Alberto Sanfeliu, & Francesc Moreno-Noguer. (2016). Random clustering ferns for multimodal object recognition. Neural Computing and Applications. 28(9). 2445–2460. 2 indexed citations
17.
Garrell, Anaís, et al.. (2014). Continuous real time POMCP to find-and-follow people by a humanoid service robot. QRU Quaderns de Recerca en Urbanisme. 741–747. 15 indexed citations
18.
Ferrer, Gonzalo, Anaís Garrell, & Alberto Sanfeliu. (2013). Robot companion: A social-force based approach with human awareness-navigation in crowded environments. QRU Quaderns de Recerca en Urbanisme. 1688–1694. 152 indexed citations
19.
Garrell, Anaís, et al.. (2011). Robot companions for guiding people in urban areas. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 419–426. 1 indexed citations
20.
Garrell, Anaís & Alberto Sanfeliu. (2010). Local optimization of cooperative robot movements for guiding and regrouping people in a guiding mission. QRU Quaderns de Recerca en Urbanisme. 3294–3299. 17 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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