Matteo Diano

1.6k total citations
34 papers, 1.0k citations indexed

About

Matteo Diano is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matteo Diano has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 11 papers in Experimental and Cognitive Psychology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matteo Diano's work include Functional Brain Connectivity Studies (12 papers), Neural dynamics and brain function (10 papers) and Face Recognition and Perception (7 papers). Matteo Diano is often cited by papers focused on Functional Brain Connectivity Studies (12 papers), Neural dynamics and brain function (10 papers) and Face Recognition and Perception (7 papers). Matteo Diano collaborates with scholars based in Italy, Netherlands and United Kingdom. Matteo Diano's co-authors include Marco Tamietto, Alessia Celeghin, Franco Cauda, Tommaso Costa, Arianna Bagnis, Sergio Duca, Giuliano Geminiani, Andrea Nani, Marco Viola and Alessandro Vercelli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Matteo Diano

32 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matteo Diano Italy 17 646 188 181 124 108 34 1.0k
Barbara Basile Italy 19 443 0.7× 166 0.9× 146 0.8× 173 1.4× 135 1.3× 35 981
Sabrina Fagioli Italy 22 655 1.0× 244 1.3× 224 1.2× 153 1.2× 170 1.6× 58 1.3k
Jim M. Monti United States 14 1.1k 1.8× 279 1.5× 127 0.7× 100 0.8× 122 1.1× 17 1.6k
Olga Kedo Germany 7 758 1.2× 206 1.1× 127 0.7× 178 1.4× 181 1.7× 9 1.1k
Shruti Japee United States 18 1.2k 1.9× 365 1.9× 168 0.9× 177 1.4× 107 1.0× 37 1.6k
Carole L. Palumbo United States 14 918 1.4× 204 1.1× 117 0.6× 143 1.2× 212 2.0× 26 1.4k
N. Müller Germany 11 614 1.0× 178 0.9× 70 0.4× 91 0.7× 163 1.5× 23 987
Dorothea Hämmerer Germany 17 933 1.4× 175 0.9× 72 0.4× 91 0.7× 145 1.3× 33 1.3k
Stefanie Keulen Belgium 9 469 0.7× 96 0.5× 98 0.5× 95 0.8× 121 1.1× 26 891
Amanda V. Utevsky United States 8 764 1.2× 224 1.2× 133 0.7× 193 1.6× 147 1.4× 9 1.0k

Countries citing papers authored by Matteo Diano

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Diano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Diano

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Diano. A scholar is included among the top collaborators of Matteo Diano 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 Matteo Diano. Matteo Diano 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.
Lanzilotto, Marco, Olga Dal Monte, Matteo Diano, et al.. (2025). Learning to fear novel stimuli by observing others in the social affordance framework. Neuroscience & Biobehavioral Reviews. 169. 106006–106006.
2.
Lettieri, Giada, Giacomo Handjaras, Davide Bottari, et al.. (2024). Dissecting abstract, modality-specific and experience-dependent coding of affect in the human brain. Science Advances. 10(10). eadk6840–eadk6840. 10 indexed citations
3.
Handjaras, Giacomo, Davide Bottari, Andrea Leo, et al.. (2023). A modality-independent proto-organization of human multisensory areas. Nature Human Behaviour. 7(3). 397–410. 9 indexed citations
4.
Celeghin, Alessia, et al.. (2023). Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues. Frontiers in Computational Neuroscience. 17. 1153572–1153572. 16 indexed citations
5.
Diano, Matteo, et al.. (2023). Hedonic and autonomic responses in promoting affective touch. Scientific Reports. 13(1). 11201–11201. 9 indexed citations
6.
Diano, Matteo, et al.. (2022). Markers of emotion regulation processes: A neuroimaging and behavioral study of reappraising abilities. Biological Psychology. 171. 108349–108349. 6 indexed citations
7.
Guerrero-Méndez, Carlos, et al.. (2022). A deep neural network model of the primate superior colliculus for emotion recognition. Philosophical Transactions of the Royal Society B Biological Sciences. 377(1863). 20210512–20210512. 14 indexed citations
8.
Lettieri, Giada, Giacomo Handjaras, Valentina Bruno, et al.. (2021). Default and control network connectivity dynamics track the stream of affect at multiple timescales. Social Cognitive and Affective Neuroscience. 17(5). 461–469. 14 indexed citations
9.
Premi, Enrico, Stefano Gazzina, Matteo Diano, et al.. (2020). Enhanced dynamic functional connectivity (whole-brain chronnectome) in chess experts. Scientific Reports. 10(1). 7051–7051. 12 indexed citations
10.
Lewis, John D., Gleb Bezgin, Matteo Diano, et al.. (2020). Changes in peri-calcarine cortical thickness in blindsight. Neuropsychologia. 143. 107463–107463. 5 indexed citations
11.
Costa, Tommaso, Matteo Diano, Franco Cauda, et al.. (2019). The neural correlates of hedonic and eudaimonic happiness: An fMRI study. Neuroscience Letters. 712. 134491–134491. 15 indexed citations
12.
Garbarini, Francesca, Matteo Diano, Monica Biggio, et al.. (2019). Imageability effect on the functional brain activity during a naming to definition task. Neuropsychologia. 137. 107275–107275. 3 indexed citations
13.
Gelder, Béatrice de, Rebecca Watson, Minye Zhan, et al.. (2018). Classical paintings may trigger pain and pleasure in the gendered brain. Cortex. 109. 171–180. 2 indexed citations
14.
Tatu, Karina, Tommaso Costa, Andrea Nani, et al.. (2017). How do morphological alterations caused by chronic pain distribute across the brain? A meta-analytic co-alteration study. NeuroImage Clinical. 18. 15–30. 39 indexed citations
15.
Celeghin, Alessia, Matteo Diano, Arianna Bagnis, Marco Viola, & Marco Tamietto. (2017). Basic Emotions in Human Neuroscience: Neuroimaging and Beyond. Frontiers in Psychology. 8. 1432–1432. 100 indexed citations
16.
Diano, Matteo, Marco Tamietto, Alessia Celeghin, et al.. (2017). Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions. Scientific Reports. 7(1). 45260–45260. 84 indexed citations
17.
Diano, Matteo, Tommaso Costa, Andrea Nani, et al.. (2015). Node Detection Using High-Dimensional Fuzzy Parcellation Applied to the Insular Cortex. Neural Plasticity. 2016. 1–8. 160 indexed citations
18.
Diano, Matteo, Federico D’Agata, Franco Cauda, et al.. (2015). Cerebellar Clustering and Functional Connectivity During Pain Processing. The Cerebellum. 15(3). 343–356. 46 indexed citations
19.
Tamietto, Marco, Franco Cauda, Alessia Celeghin, et al.. (2014). Once you feel it, you see it: Insula and sensory-motor contribution to visual awareness for fearful bodies in parietal neglect. Cortex. 62. 56–72. 58 indexed citations
20.
Torta, Diana, Matteo Diano, Tommaso Costa, et al.. (2012). Crossing the line of pain: fMRI correlates of the crossed hands analgesia. Human Brain Mapping. 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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