‎Davide Marocco

1.7k total citations
91 papers, 856 citations indexed

About

‎Davide Marocco is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, ‎Davide Marocco has authored 91 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 24 papers in Artificial Intelligence and 18 papers in Social Psychology. Recurrent topics in ‎Davide Marocco's work include Language and cultural evolution (16 papers), Action Observation and Synchronization (10 papers) and Autism Spectrum Disorder Research (9 papers) ‎Davide Marocco is often cited by papers focused on Language and cultural evolution (16 papers), Action Observation and Synchronization (10 papers) and Autism Spectrum Disorder Research (9 papers) ‎Davide Marocco collaborates with scholars based in Italy, United Kingdom and Japan ‎Davide Marocco's co-authors include Stefano Nolfi, Angelo Cangelosi, Angelo Rega, Elena Dell’Aquila, Felice Cimatti, Anna M. Borghi, Andrea Flumini, Michela Ponticorvo, Claudia Scorolli and Dario Floreano and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Psychology.

In The Last Decade

‎Davide Marocco

82 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
‎Davide Marocco Italy	17	268	215	196	161	126	91	856
Tomer Ullman United States	15	329 1.2×	306 1.4×	256 1.3×	473 2.9×	90 0.7×	59	1.0k
Rineke Verbrugge Netherlands	20	236 0.9×	590 2.7×	183 0.9×	288 1.8×	82 0.7×	118	1.4k
Hiroyuki Okada Japan	18	306 1.1×	141 0.7×	246 1.3×	647 4.0×	77 0.6×	65	1.5k
Chris L. Baker United States	12	406 1.5×	420 2.0×	365 1.9×	422 2.6×	103 0.8×	19	1.2k
Adrien Baranès France	9	335 1.3×	292 1.4×	124 0.6×	193 1.2×	18 0.1×	12	895
Iain Oliver United Kingdom	9	262 1.0×	139 0.6×	89 0.5×	195 1.2×	18 0.1×	19	788
Paul Vogt Netherlands	21	115 0.4×	663 3.1×	413 2.1×	309 1.9×	428 3.4×	93	1.3k
Jessica B. Hamrick United States	11	287 1.1×	236 1.1×	125 0.6×	138 0.9×	25 0.2×	18	765
Tao Gong United States	19	241 0.9×	292 1.4×	74 0.4×	209 1.3×	410 3.3×	103	1.2k
Ida J. Stockman United States	15	246 0.9×	241 1.1×	85 0.4×	604 3.8×	22 0.2×	37	1.1k

Countries citing papers authored by ‎Davide Marocco

Since Specialization

Citations

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

Fields of papers citing papers by ‎Davide Marocco

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ‎Davide Marocco

This figure shows the co-authorship network connecting the top 25 collaborators of ‎Davide Marocco. A scholar is included among the top collaborators of ‎Davide Marocco 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 ‎Davide Marocco. ‎Davide Marocco 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:

20 of 20 papers shown

Marocco, ‎Davide, et al.. (2025). Predicting Cognitive Decline in Parkinson’s Disease Using Artificial Neural Networks: An Explainable AI Approach. Brain Sciences. 15(8). 782–782.

Creaco, Enrico, et al.. (2025). Could ChatGPT Automate Water Network Clustering? A Performance Assessment Across Algorithms. Water. 17(20). 2995–2995.

Apicella, Andrea, Pasquale Arpaïa, Giovanni D’Errico, et al.. (2024). Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods. Neurocomputing. 604. 128354–128354. 10 indexed citations

Milano, Nicola, et al.. (2024). Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data. Behavioral Sciences. 14(7). 527–527. 2 indexed citations

Marocco, ‎Davide, et al.. (2024). Teaching Embodied Artificial Intelligence to Children (Teach E-AI 2C): An Educational Proposal for Young Learners. 879–883.

Marocco, ‎Davide, et al.. (2024). Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification. PLoS ONE. 19(4). e0302238–e0302238. 7 indexed citations

Dolce, Pasquale, et al.. (2023). Artificial Neural Networks for Short-Form Development of Psychometric Tests: A Study on Synthetic Populations Using Autoencoders. Educational and Psychological Measurement. 84(1). 62–90. 4 indexed citations

Asadi, Ali, et al.. (2023). Mitigating the Negative Effect of Telepresence Robots via an Empathy-Eliciting Robot Moderator. University of Southern Denmark Research Portal (University of Southern Denmark). 38. 1182–1187. 1 indexed citations

Arpaïa, Pasquale, Andrea Apicella, Giovanni D’Errico, et al.. (2023). Machine Learning Strategies to Improve Cross-Subject and Cross-Session Generalization in EEG-Based Emotion Recognition: A Systematic Review. SSRN Electronic Journal. 1 indexed citations

10.

Ghita, Bogdan, et al.. (2022). A Gesture-Based Educational System that Integrates Simulation and Molecular Visualization to Teach Chemistry. International Journal of Emerging Technologies in Learning (iJET). 17(4). 194–211. 2 indexed citations

11.

Dell’Aquila, Elena, Federica Vallone, Maria Clelia Zurlo, & ‎Davide Marocco. (2022). SG-ACCORD: Designing Virtual Agents for Soft Skills Training in the School Context. Education Sciences. 12(3). 174–174. 11 indexed citations

12.

Milano, Nicola, et al.. (2021). Using Technology to Identify Children With Autism Through Motor Abnormalities. Frontiers in Psychology. 12. 635696–635696. 34 indexed citations

13.

Ponticorvo, Michela, et al.. (2020). Educational Robotics to Foster and Assess Social Relations in Students' Groups. Frontiers in Robotics and AI. 7. 78–78. 5 indexed citations

14.

Ponticorvo, Michela, Angelo Rega, Andrea Di Ferdinando, ‎Davide Marocco, & Orazio Miglino. (2017). Approaches to embed bio-inspired computational algorithms in educational and serious games. International Joint Conference on Artificial Intelligence. 2099. 8–14. 12 indexed citations

15.

Nuovo, Alessandro Di, ‎Davide Marocco, Santo Di Nuovo, & Angelo Cangelosi. (2013). Ballistic Action Planning in Robotics by means of Artificial Imagery. 773–774. 1 indexed citations

16.

Marocco, ‎Davide. (2010). Grounding action words in the sensorimotor interaction with the world: experiments with a simulated iCub humanoid robot. Frontiers in Neurorobotics. 4. 53 indexed citations

17.

Marocco, ‎Davide, et al.. (2009). Active Vision for Navigating Unknown Environments: An Evolutionary Robotics Approach for Space Research. ESASP. 673. 7. 2 indexed citations

18.

Nolfi, Stefano, Raffaele Calabretta, John Hallam, et al.. (2006). From Animals to Animats 9: 9th International Conference on Simulation of Adaptive Behavior, SAB 2006, Rome, Italy, September 25-29, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 3 indexed citations

19.

Cangelosi, Angelo, et al.. (2004). The Emergence of Language in Grounded Adaptive Agents and Robots.. Lecture notes in computer science. 3609. 286–294.

20.

Floreano, Dario, et al.. (2004). Coevolution of active vision and feature selection. Biological Cybernetics. 90(3). 218–228. 62 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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