Jordi Grau-Moya

587 total citations
11 papers, 278 citations indexed

About

Jordi Grau-Moya is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Jordi Grau-Moya has authored 11 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Statistical and Nonlinear Physics and 3 papers in Artificial Intelligence. Recurrent topics in Jordi Grau-Moya's work include Neural dynamics and brain function (4 papers), Embodied and Extended Cognition (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Jordi Grau-Moya is often cited by papers focused on Neural dynamics and brain function (4 papers), Embodied and Extended Cognition (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Jordi Grau-Moya collaborates with scholars based in Germany, Switzerland and United States. Jordi Grau-Moya's co-authors include Daniel A. Braun, Matthias Krüger, Felix Leibfried, Tim Genewein, Pedro A. Ortega, Peter Vrancx, Giovanni Pezzulo, Joel Veness, Shane Legg and Jordi García‐Ojalvo and has published in prestigious journals such as PLoS ONE, Cognition and PLoS Computational Biology.

In The Last Decade

Jordi Grau-Moya

11 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jordi Grau-Moya Germany 8 78 58 41 34 33 11 278
Christoph Salge United Kingdom 10 67 0.9× 140 2.4× 36 0.9× 5 0.1× 25 0.8× 31 294
N. Radhakrishnan India 11 100 1.3× 43 0.7× 42 1.0× 12 0.4× 21 0.6× 51 473
Oliver Obst Australia 11 172 2.2× 236 4.1× 98 2.4× 13 0.4× 25 0.8× 36 474
Andrea Tacchetti United States 10 89 1.1× 115 2.0× 23 0.6× 5 0.1× 91 2.8× 21 322
Carlos M. Fernandes Portugal 10 69 0.9× 96 1.7× 7 0.2× 46 1.4× 23 0.7× 22 268
Daniel Reichman United States 8 36 0.5× 79 1.4× 35 0.9× 7 0.2× 137 4.2× 33 393
Faizan Ahmad Pakistan 11 18 0.2× 67 1.2× 24 0.6× 12 0.4× 43 1.3× 48 356
Vachik S. Dave United States 8 39 0.5× 101 1.7× 44 1.1× 9 0.3× 35 1.1× 16 333
Borui Cai Australia 9 28 0.4× 166 2.9× 26 0.6× 6 0.2× 108 3.3× 17 373
Ruiji Sun United States 10 32 0.4× 183 3.2× 6 0.1× 22 0.6× 28 0.8× 28 306

Countries citing papers authored by Jordi Grau-Moya

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Grau-Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordi Grau-Moya. 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 Jordi Grau-Moya. The network helps show where Jordi Grau-Moya may publish in the future.

Co-authorship network of co-authors of Jordi Grau-Moya

This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Grau-Moya. A scholar is included among the top collaborators of Jordi Grau-Moya 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 Jordi Grau-Moya. Jordi Grau-Moya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Genewein, Tim, et al.. (2023). Randomized Positional Encodings Boost Length Generalization of Transformers. 1889–1903. 10 indexed citations
2.
Leibfried, Felix, et al.. (2019). A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment. arXiv (Cornell University). 32. 7867–7878. 1 indexed citations
3.
Grau-Moya, Jordi, Felix Leibfried, & Peter Vrancx. (2018). Soft Q-Learning with Mutual-Information Regularization. International Conference on Learning Representations. 11 indexed citations
4.
Grau-Moya, Jordi, Matthias Krüger, & Daniel A. Braun. (2017). Non-Equilibrium Relations for Bounded Rational Decision-Making in Changing Environments. Entropy. 20(1). 1–1. 143 indexed citations
5.
Grau-Moya, Jordi, Pedro A. Ortega, & Daniel A. Braun. (2016). Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context. Experiments and an Information-Theoretic Ambiguity Model. PLoS ONE. 11(4). e0153179–e0153179. 8 indexed citations
6.
Genewein, Tim, Felix Leibfried, Jordi Grau-Moya, & Daniel A. Braun. (2015). Bounded Rationality, Abstraction, and Hierarchical Decision-Making: An Information-Theoretic Optimality Principle. Frontiers in Robotics and AI. 2. 60 indexed citations
7.
Leibfried, Felix, Jordi Grau-Moya, & Daniel A. Braun. (2015). Signaling equilibria in sensorimotor interactions. Cognition. 141. 73–86. 11 indexed citations
8.
Grau-Moya, Jordi & Daniel A. Braun. (2013). Bounded Rational Decision-Making in Changing Environments. arXiv (Cornell University). 1–9. 1 indexed citations
9.
Grau-Moya, Jordi, et al.. (2013). The effect of model uncertainty on cooperation in sensorimotor interactions. Journal of The Royal Society Interface. 10(87). 20130554–20130554. 13 indexed citations
10.
Grau-Moya, Jordi, Pedro A. Ortega, & Daniel A. Braun. (2012). Risk-Sensitivity in Bayesian Sensorimotor Integration. PLoS Computational Biology. 8(9). e1002698–e1002698. 16 indexed citations
11.
Grau-Moya, Jordi, Antonio J. Pons, & Jordi García‐Ojalvo. (2012). NOISE-INDUCED UP/DOWN DYNAMICS IN SCALE-FREE NEURONAL NETWORKS. International Journal of Bifurcation and Chaos. 22(7). 1250175–1250175. 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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