Marco Mirolli

2.7k total citations
56 papers, 1.4k citations indexed

About

Marco Mirolli is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Marco Mirolli has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 17 papers in Artificial Intelligence and 12 papers in Experimental and Cognitive Psychology. Recurrent topics in Marco Mirolli's work include Reinforcement Learning in Robotics (15 papers), Neural dynamics and brain function (12 papers) and Child and Animal Learning Development (8 papers). Marco Mirolli is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Neural dynamics and brain function (12 papers) and Child and Animal Learning Development (8 papers). Marco Mirolli collaborates with scholars based in Italy, United Kingdom and United States. Marco Mirolli's co-authors include Gianluca Baldassarre, Andrew G. Barto, Domenico Parisi, Vieri Giuliano Santucci, Francesco Mannella, Stefano Nolfi, Luca Simione, Antonino Raffone, Peter Redgrave and Vincenzo G. Fiore and has published in prestigious journals such as SHILAP Revista de lepidopterología, Experimental Brain Research and International Journal of Environmental Research and Public Health.

In The Last Decade

Marco Mirolli

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Mirolli Italy 19 585 402 263 207 183 56 1.4k
Christian Scheier Switzerland 12 1.1k 2.0× 395 1.0× 580 2.2× 522 2.5× 395 2.2× 26 2.3k
Masahiko Haruno Japan 22 1.7k 2.9× 334 0.8× 620 2.4× 305 1.5× 151 0.8× 48 2.5k
Christian Balkenius Sweden 20 832 1.4× 371 0.9× 221 0.8× 102 0.5× 84 0.5× 117 1.5k
Francesco Rigoli Italy 11 1.7k 2.9× 213 0.5× 487 1.9× 358 1.7× 156 0.9× 14 2.2k
Pim Haselager Netherlands 25 1.2k 2.0× 219 0.5× 441 1.7× 267 1.3× 134 0.7× 94 1.8k
Wilma Bainbridge United States 21 955 1.6× 298 0.7× 473 1.8× 287 1.4× 120 0.7× 62 1.7k
Eduardo Reck Miranda United Kingdom 24 1.2k 2.0× 283 0.7× 157 0.6× 278 1.3× 96 0.5× 176 2.0k
Philipp Schwartenbeck United Kingdom 20 1.9k 3.3× 241 0.6× 432 1.6× 525 2.5× 151 0.8× 27 2.5k
Wako Yoshida Japan 12 822 1.4× 110 0.3× 192 0.7× 165 0.8× 107 0.6× 22 1.2k
Lola Cañamero United Kingdom 20 393 0.7× 433 1.1× 711 2.7× 274 1.3× 73 0.4× 89 1.1k

Countries citing papers authored by Marco Mirolli

Since Specialization
Citations

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

Fields of papers citing papers by Marco Mirolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mirolli

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Mirolli. A scholar is included among the top collaborators of Marco Mirolli 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 Marco Mirolli. Marco Mirolli 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.
Quirin, Markus, et al.. (2022). Dynamics of personality: The Zurich model of motivation revived, extended, and applied to personality. Journal of Personality. 91(4). 928–946. 5 indexed citations
2.
Fabbri, Marco, et al.. (2022). Attentional Bias for Sleep-Related Words as a Function of Severity of Insomnia Symptoms. Brain Sciences. 13(1). 50–50. 3 indexed citations
3.
4.
Mannella, Francesco, et al.. (2018). General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain. PLoS Computational Biology. 14(8). e1006227–e1006227. 15 indexed citations
5.
Mannella, Francesco, Marco Mirolli, & Gianluca Baldassarre. (2016). Goal-Directed Behavior and Instrumental Devaluation: A Neural System-Level Computational Model. Frontiers in Behavioral Neuroscience. 10. 181–181. 28 indexed citations
6.
Stafford, Tom, Marco Mirolli, Richard M. Ryan, et al.. (2015). Intrinsic motivations and open-ended development in animals, humans, and robots. 1 indexed citations
7.
Sorrentino, Eugenia Polizzi di, Gloria Sabbatini, Valentina Truppa, et al.. (2014). Exploration and learning in capuchin monkeys (Sapajus spp.): the role of action–outcome contingencies. Animal Cognition. 17(5). 1081–1088. 12 indexed citations
8.
Gigliotta, Onofrio & Marco Mirolli. (2014). Evolution of Communication-Based Collaborative Behavior in Homogeneous Robots. 673–680. 1 indexed citations
9.
Fiore, Vincenzo G., Francesco Mannella, Marco Mirolli, et al.. (2014). Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability. Brain Structure and Function. 220(3). 1339–1353. 18 indexed citations
10.
Taffoni, Fabrizio, Eleonora Tamilia, Valentina Focaroli, et al.. (2014). Development of goal-directed action selection guided by intrinsic motivations: an experiment with children. Experimental Brain Research. 232(7). 2167–2177. 18 indexed citations
11.
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
12.
Baldassarre, Gianluca, Tom Stafford, Marco Mirolli, et al.. (2014). Intrinsic motivations and open-ended development in animals, humans, and robots: an overview. Frontiers in Psychology. 5. 985–985. 48 indexed citations
13.
Paglieri, Fabio, Elsa Addessi, Francesca De Petrillo, et al.. (2014). Nonhuman gamblers: lessons from rodents, primates, and robots. Frontiers in Behavioral Neuroscience. 8. 33–33. 32 indexed citations
14.
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
15.
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
16.
Chersi, Fabian, Marco Mirolli, Giovanni Pezzulo, & Gianluca Baldassarre. (2012). A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning. Neural Networks. 41. 212–224. 38 indexed citations
17.
Taffoni, Fabrizio, Massimo Vespignani, Domenico Formica, et al.. (2012). A mechatronic platform for behavioral analysis on nonhuman primates. Journal of Integrative Neuroscience. 11(1). 87–101. 10 indexed citations
18.
Baldassarre, Gianluca, Francesco Mannella, Vincenzo G. Fiore, et al.. (2012). Intrinsically motivated action–outcome learning and goal-based action recall: A system-level bio-constrained computational model. Neural Networks. 41. 168–187. 42 indexed citations
19.
Baccetti, B., A. G. Burrini, Serena Capitani, et al.. (2009). Notulae Seminologicae. 4. Mathematical evaluation of submicroscopical alterations in spermatozoa of sterile men with varicocele. Andrologia. 27(1). 13–17. 2 indexed citations
20.
Parisi, Domenico & Marco Mirolli. (2007). Steps Towards Artificial Consciousness: A Robot's Knowledge of Its Own Body.. National Conference on Artificial Intelligence. 118–123. 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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