Nicolás Navarro-Guerrero

542 total citations
20 papers, 283 citations indexed

About

Nicolás Navarro-Guerrero is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Nicolás Navarro-Guerrero has authored 20 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 6 papers in Control and Systems Engineering. Recurrent topics in Nicolás Navarro-Guerrero's work include Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (6 papers) and Neural dynamics and brain function (4 papers). Nicolás Navarro-Guerrero is often cited by papers focused on Robot Manipulation and Learning (6 papers), Reinforcement Learning in Robotics (6 papers) and Neural dynamics and brain function (4 papers). Nicolás Navarro-Guerrero collaborates with scholars based in Germany, Chile and Sweden. Nicolás Navarro-Guerrero's co-authors include Stefan Wermter, Cornelius Weber, Víctor Uc-Cetina, Stefan Heinrich, Erik Strahl, Sven Magg, Matthias Kerzel, Lorenzo Jamone, Robert Lowe and Nikhil Churamani and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence Review and Robotics and Autonomous Systems.

In The Last Decade

Nicolás Navarro-Guerrero

17 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Navarro-Guerrero Germany 9 131 68 68 64 56 20 283
Michał Podpora Poland 11 107 0.8× 57 0.8× 116 1.7× 48 0.8× 76 1.4× 52 420
Matthias Kerzel Germany 12 149 1.1× 91 1.3× 88 1.3× 68 1.1× 101 1.8× 43 380
Stéphane Lallée France 12 128 1.0× 110 1.6× 112 1.6× 137 2.1× 39 0.7× 16 323
Shane Griffith United States 7 192 1.5× 131 1.9× 44 0.6× 39 0.6× 68 1.2× 11 316
Francesco Semeraro Italy 5 90 0.7× 85 1.3× 60 0.9× 88 1.4× 54 1.0× 13 336
Aurélie Clodic France 5 153 1.2× 114 1.7× 48 0.7× 134 2.1× 63 1.1× 13 349
Anshul Jain United States 11 50 0.4× 61 0.9× 124 1.8× 39 0.6× 105 1.9× 28 335
Tariq Iqbal United States 10 117 0.9× 59 0.9× 23 0.3× 92 1.4× 160 2.9× 35 321
Martim Brandão United Kingdom 11 83 0.6× 68 1.0× 29 0.4× 52 0.8× 90 1.6× 43 289
Igor Farkaš Slovakia 12 234 1.8× 43 0.6× 162 2.4× 37 0.6× 43 0.8× 37 466

Countries citing papers authored by Nicolás Navarro-Guerrero

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Navarro-Guerrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolás Navarro-Guerrero. 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 Nicolás Navarro-Guerrero. The network helps show where Nicolás Navarro-Guerrero may publish in the future.

Co-authorship network of co-authors of Nicolás Navarro-Guerrero

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Navarro-Guerrero. A scholar is included among the top collaborators of Nicolás Navarro-Guerrero 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 Nicolás Navarro-Guerrero. Nicolás Navarro-Guerrero 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.
2.
Navarro-Guerrero, Nicolás, et al.. (2024). Optimizing BioTac Simulation for Realistic Tactile Perception. 1–8. 1 indexed citations
3.
Piater, Justus, et al.. (2024). Continual Domain Randomization. 4965–4972. 1 indexed citations
4.
Navarro-Guerrero, Nicolás, et al.. (2023). Visuo-haptic object perception for robots: an overview. Autonomous Robots. 47(4). 377–403. 30 indexed citations
5.
Escobar, María-José, Nicolás Navarro-Guerrero, Javier Ruiz‐del‐Solar, & Giulio Sandini. (2022). Special Issue on Emerging Topics on Development and Learning. IEEE Transactions on Cognitive and Developmental Systems. 14(2). 255–257. 1 indexed citations
6.
Navarro-Guerrero, Nicolás, et al.. (2022). Quantifying the effect of feedback frequency in interactive reinforcement learning for robotic tasks. Neural Computing and Applications. 35(23). 16931–16943. 1 indexed citations
7.
Navarro-Guerrero, Nicolás, et al.. (2022). Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10193–10200. 7 indexed citations
8.
Uc-Cetina, Víctor, et al.. (2022). Survey on reinforcement learning for language processing. Artificial Intelligence Review. 56(2). 1543–1575. 71 indexed citations
9.
Churamani, Nikhil, Waleed Mustafa, Quan Nguyen, et al.. (2017). The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios. 171–180. 39 indexed citations
10.
Nguyen, Quan, Stefan Heinrich, Nicolás Navarro-Guerrero, et al.. (2017). Hey robot, why don't you talk to me?. 728–731. 10 indexed citations
11.
Kerzel, Matthias, Erik Strahl, Sven Magg, et al.. (2017). NICO — Neuro-inspired companion: A developmental humanoid robot platform for multimodal interaction. 113–120. 47 indexed citations
12.
Navarro-Guerrero, Nicolás, Robert Lowe, & Stefan Wermter. (2017). Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals. Frontiers in Neurorobotics. 11. 10–10. 11 indexed citations
13.
Navarro-Guerrero, Nicolás, et al.. (2017). Evaluating Integration Strategies for Visuo-Haptic Object Recognition. Cognitive Computation. 10(3). 408–425. 13 indexed citations
14.
Navarro-Guerrero, Nicolás, Robert Lowe, & Stefan Wermter. (2017). The effects on adaptive behaviour of negatively valenced signals in reinforcement learning. 3. 148–155. 4 indexed citations
15.
Navarro-Guerrero, Nicolás, et al.. (2017). Comparison of Behaviour-Based Architectures for a Collaborative Package Delivery Task. 121–129.
16.
Navarro-Guerrero, Nicolás, et al.. (2016). Interaction in reinforcement learning reduces the need for finely tuned hyperparameters in complex tasks. DuEPublico (University of Duisburg-Essen). 2015(2). 8 indexed citations
17.
Freund, Wolfgang, et al.. (2013). Fuzzy Motivations in a Multiple Agent Behaviour-Based Architecture. International Journal of Advanced Robotic Systems. 10(8). 2 indexed citations
18.
Navarro-Guerrero, Nicolás, Robert Lowe, & Stefan Wermter. (2012). A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach. Zenodo (CERN European Organization for Nuclear Research). 4. 1–8. 7 indexed citations
19.
Navarro-Guerrero, Nicolás, et al.. (2012). Real-world reinforcement learning for autonomous humanoid robot docking. Robotics and Autonomous Systems. 60(11). 1400–1407. 26 indexed citations
20.
Navarro-Guerrero, Nicolás, et al.. (2006). Acquiring Adaptive Behaviors of Mobile Robots Using Genetic Algorithms and Artificial Neural Networks. 4031. 87–91. 4 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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2026