Emilio Cartoni

572 total citations
12 papers, 318 citations indexed

About

Emilio Cartoni is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Emilio Cartoni has authored 12 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Emilio Cartoni's work include Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (4 papers) and Reinforcement Learning in Robotics (4 papers). Emilio Cartoni is often cited by papers focused on Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (4 papers) and Reinforcement Learning in Robotics (4 papers). Emilio Cartoni collaborates with scholars based in Italy, United Kingdom and Germany. Emilio Cartoni's co-authors include Gianluca Baldassarre, Bernard W. Balleine, Stefano Puglisi‐Allegra, Giovanni Pezzulo, Francesco Rigoli, Karl Friston, Simona Cabib, Tania Moretta, Emanuele Claudio Latagliata and Valeria Oliva and has published in prestigious journals such as PLoS ONE, Neuroscience & Biobehavioral Reviews and Frontiers in Psychology.

In The Last Decade

Emilio Cartoni

11 papers receiving 313 citations

Peers

Emilio Cartoni

CN

CMN

ECP

CP

SP

Charlotte Prévost United States

Megan Ichinose United States

Chris Retzler United Kingdom

Laura L. Grima United Kingdom

Azadeh HajiHosseini Canada

Joel S. Peterman United States

Olga Sysoeva Russia

Joris A. Elshout Netherlands

Chuguang Wei China

Nina Rouhani United States

Charlotte Prévost United States

Emilio Cartoni

366 ×1.7

CN

82 ×0.8

CMN

98 ×1.4

ECP

38 ×0.8

CP

58 ×1.3

SP

Citations per year, relative to Emilio Cartoni Emilio Cartoni (= 1×) peers Charlotte Prévost

Countries citing papers authored by Emilio Cartoni

Since Specialization

Citations

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

Fields of papers citing papers by Emilio Cartoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Cartoni

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Farisco, Michele, Giuliano Di Baldassarre, Emilio Cartoni, et al.. (2024). A method for the ethical analysis of brain-inspired AI. Artificial Intelligence Review. 57(6). 4 indexed citations

2.

Cartoni, Emilio, et al.. (2023). REAL-X—Robot Open-Ended Autonomous Learning Architecture: Building Truly End-to-End Sensorimotor Autonomous Learning Systems. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 2014–2030. 1 indexed citations

3.

Cartoni, Emilio, et al.. (2022). Integrating unsupervised and reinforcement learning in human categorical perception: A computational model. PLoS ONE. 17(5). e0267838–e0267838. 7 indexed citations

4.

Baldassarre, Gianluca, et al.. (2021). REAL 2021 – Robot open-Ended Autonomous Learning: A Competition and Benchmark. 80. 1–8. 1 indexed citations

5.

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

6.

Cartoni, Emilio, Francesco Mannella, Vieri Giuliano Santucci, et al.. (2019). REAL-2019: Robot open-Ended Autonomous Learning competition.. 142–152. 3 indexed citations

7.

Oddi, Angelo, Riccardo Rasconi, Vieri Giuliano Santucci, et al.. (2019). An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots.. Institutional Research Information System University of Turin (University of Turin). 2594. 19–24.

8.

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

9.

Pezzulo, Giovanni, et al.. (2016). Active Inference, epistemic value, and vicarious trial and error. Learning & Memory. 23(7). 322–338. 41 indexed citations

10.

Cartoni, Emilio, Bernard W. Balleine, & Gianluca Baldassarre. (2016). Appetitive Pavlovian-instrumental Transfer: A review. Neuroscience & Biobehavioral Reviews. 71. 829–848. 182 indexed citations

11.

Cartoni, Emilio, Tania Moretta, Stefano Puglisi‐Allegra, Simona Cabib, & Gianluca Baldassarre. (2015). The Relationship Between Specific Pavlovian Instrumental Transfer and Instrumental Reward Probability. Frontiers in Psychology. 6. 1697–1697. 20 indexed citations

12.

Cartoni, Emilio, Stefano Puglisi‐Allegra, & Gianluca Baldassarre. (2013). The three principles of action: a Pavlovian-instrumental transfer hypothesis. Frontiers in Behavioral Neuroscience. 7. 153–153. 42 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.

Explore authors with similar magnitude of impact