Pablo Lanillos

1.3k total citations
38 papers, 599 citations indexed

About

Pablo Lanillos is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Pablo Lanillos has authored 38 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 10 papers in Artificial Intelligence and 8 papers in Social Psychology. Recurrent topics in Pablo Lanillos's work include Neural dynamics and brain function (12 papers), Embodied and Extended Cognition (10 papers) and Robot Manipulation and Learning (7 papers). Pablo Lanillos is often cited by papers focused on Neural dynamics and brain function (12 papers), Embodied and Extended Cognition (10 papers) and Robot Manipulation and Learning (7 papers). Pablo Lanillos collaborates with scholars based in Netherlands, Germany and Spain. Pablo Lanillos's co-authors include Gordon Cheng, Eva Besada-Portas, Gonzalo Pájares, Emmanuel Dean‐Leon, Yuichi Yamashita, Yukie Nagai, Salah Sukkarieh, Seng Keat Gan, José J. Ruz and Jorge Dias and has published in prestigious journals such as Sensors, Information Sciences and PLoS Computational Biology.

In The Last Decade

Pablo Lanillos

35 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Lanillos Netherlands 14 273 145 137 107 103 38 599
Michael Dose Germany 5 134 0.5× 185 1.3× 116 0.8× 61 0.6× 116 1.1× 7 414
Andrea Soltoggio United Kingdom 15 128 0.5× 150 1.0× 267 1.9× 55 0.5× 47 0.5× 43 694
Kerstin Schill Germany 14 342 1.3× 239 1.6× 75 0.5× 84 0.8× 26 0.3× 57 745
Paolo Gaudiano United States 13 206 0.8× 150 1.0× 125 0.9× 110 1.0× 89 0.9× 38 541
Stefan Sosnowski Germany 13 81 0.3× 155 1.1× 173 1.3× 71 0.7× 160 1.6× 36 608
Hiroaki Arie Japan 11 118 0.4× 133 0.9× 156 1.1× 53 0.5× 173 1.7× 31 445
Thomas Röfer Germany 14 118 0.4× 240 1.7× 89 0.6× 182 1.7× 106 1.0× 33 594
Axel Steinhage Germany 11 122 0.4× 190 1.3× 82 0.6× 38 0.4× 60 0.6× 26 445
Xiaogang Yan Canada 18 547 2.0× 112 0.8× 104 0.8× 21 0.2× 272 2.6× 48 970
Kiran George United States 13 286 1.0× 63 0.4× 67 0.5× 55 0.5× 48 0.5× 126 765

Countries citing papers authored by Pablo Lanillos

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Lanillos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Lanillos

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Lanillos. A scholar is included among the top collaborators of Pablo Lanillos 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 Pablo Lanillos. Pablo Lanillos 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.
Rodriguez-Cianca, David, et al.. (2025). Adaptive Torque Control of Exoskeletons Under Spasticity Conditions via Reinforcement Learning. PubMed. 2025. 705–711. 1 indexed citations
2.
Keemink, Sander, et al.. (2023). Closed-Form Control With Spike Coding Networks. IEEE Transactions on Cognitive and Developmental Systems. 16(5). 1677–1687. 6 indexed citations
3.
Taniguchi, Tadahiro, Shingo Murata, Masahiro Suzuki, et al.. (2023). World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. Advanced Robotics. 37(13). 780–806. 34 indexed citations
4.
Senden, Mario, Sacha J. van Albada, Giovanni Pezzulo, et al.. (2023). Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance. National Science Review. 11(5). nwad318–nwad318.
5.
Haselager, Pim, et al.. (2023). Reflection Machines: Supporting Effective Human Oversight Over Medical Decision Support Systems. Cambridge Quarterly of Healthcare Ethics. 33(3). 380–389. 10 indexed citations
6.
Costa, Lancelot Da, et al.. (2022). How Active Inference Could Help Revolutionise Robotics. Entropy. 24(3). 361–361. 16 indexed citations
7.
Parr, Thomas, et al.. (2022). Reclaiming saliency: Rhythmic precision-modulated action and perception. Frontiers in Neurorobotics. 16. 896229–896229. 4 indexed citations
8.
Maselli, Antonella, Pablo Lanillos, & Giovanni Pezzulo. (2022). Active inference unifies intentional and conflict-resolution imperatives of motor control. PLoS Computational Biology. 18(6). e1010095–e1010095. 13 indexed citations
9.
Lanillos, Pablo, et al.. (2021). \nMultimodal VAE active inference controller. Radboud Repository (Radboud University). 12 indexed citations
10.
Hoffmann, Matej, et al.. (2021). Robot in the Mirror: Toward an Embodied Computational Model of Mirror Self-Recognition. KI - Künstliche Intelligenz. 35(1). 37–51. 11 indexed citations
11.
Lanillos, Pablo, et al.. (2019). A review on neural network models of schizophrenia and autism spectrum disorder. Neural Networks. 122. 338–363. 103 indexed citations
12.
Deistler, Michael, et al.. (2019). Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine. Radboud Repository (Radboud University). 48–53. 2 indexed citations
13.
Chen, Zhong, et al.. (2019). Enabling the sense of touch in EMG-controlled hand prostheses using vibro-tactile stimulation. elib (German Aerospace Center). 14. 1021–1024.
14.
Ehrlich, Stefan K., et al.. (2019). A prototype of a P300 based brain-robot interface to enable multi-modal interaction for patients with limited mobility. Radboud Repository (Radboud University). 78–84. 6 indexed citations
15.
Lanillos, Pablo, João Filipe Ferreira, & Jorge Dias. (2017). A Bayesian hierarchy for robust gaze estimation in human–robot interaction. International Journal of Approximate Reasoning. 87. 1–22. 6 indexed citations
16.
Ramírez-Amaro, Karinne, et al.. (2016). Extracting general task structures to accelerate the learning of new tasks. 10. 802–807. 10 indexed citations
17.
Lanillos, Pablo, Emmanuel Dean‐Leon, & Gordon Cheng. (2016). Multisensory object discovery via self-detection and artificial attention. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 27. 1–6. 4 indexed citations
18.
Ferreira, João Filipe, Pablo Lanillos, & Jorge Dias. (2015). Fast Exact Bayesian Inference for High-Dimensional Models. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 6 indexed citations
19.
Lanillos, Pablo, Seng Keat Gan, Eva Besada-Portas, Gonzalo Pájares, & Salah Sukkarieh. (2014). Multi-UAV target search using decentralized gradient-based negotiation with expected observation. Information Sciences. 282. 92–110. 75 indexed citations
20.
Lanillos, Pablo, José J. Ruz, Gonzalo Pájares, & Jesús Manuel de la Cruz García. (2009). Environmental surface boundary tracking and description using a UAV with vision. 41. 1–4. 3 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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