Gianluca Baldassarre

6.8k total citations
149 papers, 3.7k citations indexed

About

Gianluca Baldassarre is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Gianluca Baldassarre has authored 149 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cognitive Neuroscience, 40 papers in Artificial Intelligence and 33 papers in Social Psychology. Recurrent topics in Gianluca Baldassarre's work include Neural dynamics and brain function (34 papers), Reinforcement Learning in Robotics (31 papers) and Memory and Neural Mechanisms (22 papers). Gianluca Baldassarre is often cited by papers focused on Neural dynamics and brain function (34 papers), Reinforcement Learning in Robotics (31 papers) and Memory and Neural Mechanisms (22 papers). Gianluca Baldassarre collaborates with scholars based in Italy, United Kingdom and United States. Gianluca Baldassarre's co-authors include Marco Mirolli, Daniele Caligiore, Francesco Mannella, Andrew G. Barto, Stefano Nolfi, Emilio Cartoni, Anna M. Borghi, Vieri Giuliano Santucci, Giovanni Pezzulo and Bernard W. Balleine and has published in prestigious journals such as PLoS ONE, Psychological Review and Cancer Research.

In The Last Decade

Gianluca Baldassarre

137 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianluca Baldassarre Italy 30 1.7k 768 760 494 401 149 3.7k
Martin A. Giese Germany 40 3.1k 1.8× 2.0k 2.7× 481 0.6× 807 1.6× 567 1.4× 199 6.1k
Daniel Bullock United States 32 2.8k 1.6× 530 0.7× 365 0.5× 524 1.1× 467 1.2× 90 3.8k
Peter Ford Dominey France 36 2.2k 1.3× 876 1.1× 991 1.3× 230 0.5× 957 2.4× 140 3.6k
Katsumi Watanabe Japan 38 3.0k 1.7× 1.1k 1.5× 219 0.3× 462 0.9× 281 0.7× 413 5.8k
Nicolas Schweighofer United States 40 2.6k 1.5× 724 0.9× 153 0.2× 683 1.4× 331 0.8× 114 4.4k
Stan Gielen Netherlands 27 1.6k 0.9× 235 0.3× 301 0.4× 404 0.8× 58 0.1× 64 3.0k
Jochen Triesch Germany 31 1.8k 1.0× 356 0.5× 434 0.6× 414 0.8× 496 1.2× 188 3.2k
Tetsuo Ono Japan 30 1.6k 0.9× 1.3k 1.7× 462 0.6× 840 1.7× 120 0.3× 149 3.6k
Wolfram Erlhagen Portugal 20 1.0k 0.6× 398 0.5× 274 0.4× 129 0.3× 174 0.4× 80 1.7k
Jeffrey L. Krichmar United States 30 1.8k 1.1× 216 0.3× 783 1.0× 905 1.8× 69 0.2× 122 3.2k

Countries citing papers authored by Gianluca Baldassarre

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Baldassarre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Baldassarre

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Baldassarre. A scholar is included among the top collaborators of Gianluca Baldassarre 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 Gianluca Baldassarre. Gianluca Baldassarre 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.
Baldassarre, Gianluca, et al.. (2025). H-GRAIL: A Robotic Motivational Architecture to Tackle Open-Ended Learning Challenges. IEEE Transactions on Cognitive and Developmental Systems. 17(6). 1503–1519.
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Romero, Alejandro, Gianluca Baldassarre, Richard J. Duro, & Vieri Giuliano Santucci. (2024). Autonomous Discovery and Learning of Interdependent Goals in Non-Stationary Scenarios. 1–8.
5.
Marsico, Maria De, et al.. (2022). A Natural Human-Drone Embodied Interface: Empirical Comparison With a Traditional Interface. Frontiers in Neurorobotics. 16. 898859–898859. 4 indexed citations
6.
Mario, Francesco Di, Pellegrino Crafa, Marilisa Franceschi, et al.. (2021). Low Levels of Gastrin 17 are Related with Endoscopic Findings of Esophagitis and Typical Symptoms of GERD. Journal of Gastrointestinal and Liver Diseases. 30(1). 25–29. 6 indexed citations
7.
Baldassarre, Gianluca, et al.. (2021). Internal manipulation of perceptual representations in human flexible cognition: A computational model. Neural Networks. 143. 572–594. 6 indexed citations
8.
Nunzio, Cosimo De, Simona Giglio, Roberto Cirombella, et al.. (2020). Micro-RNAs as minimally invasive biomarkers for diagnosis, staging and outcome prediction in prostate cancer patients. European Urology Open Science. 19. e658–e658. 2 indexed citations
9.
Brovelli, Andrea, et al.. (2020). A generative spiking neural-network model of goal-directed behaviour and one-step planning. PLoS Computational Biology. 16(12). e1007579–e1007579. 6 indexed citations
10.
Baldassarre, Gianluca, et al.. (2019). Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots. Frontiers in Neurorobotics. 13. 98–98. 17 indexed citations
11.
Caligiore, Daniele, Michael A. Arbib, R. Chris Miall, & Gianluca Baldassarre. (2019). The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia. Neuroscience & Biobehavioral Reviews. 100. 19–34. 75 indexed citations
12.
Oliva, Valeria, Emilio Cartoni, Emanuele Claudio Latagliata, Stefano Puglisi‐Allegra, & Gianluca Baldassarre. (2017). Interplay of prefrontal cortex and amygdala during extinction of drug seeking. Brain Structure and Function. 223(3). 1071–1089. 11 indexed citations
13.
Caligiore, Daniele, et al.. (2016). Action observation and motor imagery for rehabilitation in Parkinson's disease: A systematic review and an integrative hypothesis. Neuroscience & Biobehavioral Reviews. 72. 210–222. 151 indexed citations
14.
Caligiore, Daniele, Rick C. Helmich, Mark Hallett, et al.. (2016). Parkinson’s disease as a system-level disorder. npj Parkinson s Disease. 2(1). 16025–16025. 124 indexed citations
15.
Stafford, Tom, Marco Mirolli, Richard M. Ryan, et al.. (2015). Intrinsic motivations and open-ended development in animals, humans, and robots. 1 indexed citations
16.
Santucci, Vieri Giuliano, Gianluca Baldassarre, & Marco Mirolli. (2014). Autonomous selection of the “what” and the “how” of learning: An intrinsically motivated system tested with a two armed robot. 434–439. 7 indexed citations
17.
Santucci, Vieri Giuliano, Gianluca Baldassarre, & Marco Mirolli. (2013). Which is the best intrinsic motivation signal for learning multiple skills?. Frontiers in Neurorobotics. 7. 22–22. 40 indexed citations
18.
Mirolli, Marco, Vieri Giuliano Santucci, & Gianluca Baldassarre. (2013). Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study. Neural Networks. 39. 40–51. 28 indexed citations
19.
Ciancio, Anna Lisa, Loredana Zollo, Gianluca Baldassarre, Daniele Caligiore, & Eugenio Guglielmelli. (2013). The Role of Learning and Kinematic Features in Dexterous Manipulation: A Comparative Study with Two Robotic Hands. International Journal of Advanced Robotic Systems. 10(10). 10 indexed citations
20.
Belletti, Barbara, Jayant S. Vaidya, Frank Entschladen, et al.. (2008). Targeted Intraoperative radiotherapy (TARGIT) impairs surgical wound-stimulated breast cancer cell proliferation and invasion. UCL Discovery (University College London). 1 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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