Vittorio Caggiano

2.9k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Vittorio Caggiano is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Vittorio Caggiano has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Social Psychology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Vittorio Caggiano's work include Action Observation and Synchronization (10 papers), Neural dynamics and brain function (6 papers) and Muscle activation and electromyography studies (5 papers). Vittorio Caggiano is often cited by papers focused on Action Observation and Synchronization (10 papers), Neural dynamics and brain function (6 papers) and Muscle activation and electromyography studies (5 papers). Vittorio Caggiano collaborates with scholars based in United States, Germany and Italy. Vittorio Caggiano's co-authors include Antonino Casile, Peter Thier, Leonardo Fogassi, Martin A. Giese, Ole Kiehn, Roberto Leiras, Julien Bouvier, Vanessa Caldeira, Carmelo Bellardita and Giacomo Rizzolatti and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Vittorio Caggiano

37 papers receiving 1.7k citations

Hit Papers

Midbrain circuits that se... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vittorio Caggiano United States 21 955 650 457 284 204 37 1.8k
Eiman Azim United States 18 691 0.7× 452 0.7× 532 1.2× 247 0.9× 203 1.0× 26 2.1k
Yves Burnod France 30 2.1k 2.2× 360 0.6× 501 1.1× 341 1.2× 68 0.3× 81 3.0k
Maarten A. Frens Netherlands 31 1.8k 1.9× 351 0.5× 433 0.9× 227 0.8× 121 0.6× 115 3.5k
Michikazu Matsumura Japan 29 2.3k 2.4× 533 0.8× 595 1.3× 229 0.8× 46 0.2× 51 2.9k
Charlotte S. R. Taylor United States 8 1.4k 1.4× 559 0.9× 281 0.6× 260 0.9× 23 0.1× 9 1.7k
Dylan F. Cooke United States 20 2.1k 2.2× 987 1.5× 307 0.7× 331 1.2× 31 0.2× 32 2.8k
Gianfranco Bosco Italy 23 1.5k 1.6× 415 0.6× 176 0.4× 485 1.7× 59 0.3× 65 2.1k
Caroline Tilikete France 32 2.0k 2.1× 394 0.6× 487 1.1× 213 0.8× 99 0.5× 119 4.2k
D.E. Marple-Horvat United Kingdom 23 788 0.8× 258 0.4× 178 0.4× 255 0.9× 61 0.3× 44 1.5k
Kae Nakamura Japan 23 3.2k 3.3× 665 1.0× 1.2k 2.6× 236 0.8× 49 0.2× 44 4.1k

Countries citing papers authored by Vittorio Caggiano

Since Specialization
Citations

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

Fields of papers citing papers by Vittorio Caggiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vittorio Caggiano

This figure shows the co-authorship network connecting the top 25 collaborators of Vittorio Caggiano. A scholar is included among the top collaborators of Vittorio Caggiano 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 Vittorio Caggiano. Vittorio Caggiano 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.
Geijtenbeek, Thomas, Vittorio Caggiano, Vikas Kumar, et al.. (2025). Emergence of natural and robust bipedal walking by learning from biologically plausible objectives. iScience. 28(4). 112203–112203. 1 indexed citations
2.
Selvan, Raghavendra, et al.. (2023). Pedunculopontine Chx10+ neurons control global motor arrest in mice. Nature Neuroscience. 26(9). 1516–1528. 15 indexed citations
3.
Caggiano, Vittorio, et al.. (2023). SAR: Generalization of Physiological Dexterity via Synergistic Action Representation. 4 indexed citations
4.
Agurto, Carla, et al.. (2021). Parkinson’s disease medication state and severity assessment based on coordination during walking. PLoS ONE. 16(2). e0244842–e0244842. 11 indexed citations
5.
Yamada, Yasunori, Kaoru Shinkawa, Masatomo Kobayashi, et al.. (2021). Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer’s Disease and Mild Cognitive Impairment. Journal of Alzheimer s Disease. 84(1). 315–327. 37 indexed citations
6.
Heisig, Stephen, et al.. (2020). Using an unbiased symbolic movement representation to characterize Parkinson’s disease states. Scientific Reports. 10(1). 7377–7377. 15 indexed citations
7.
Shevtsova, Natalia A., et al.. (2019). Computational modeling of brainstem circuits controlling locomotor frequency and gait. eLife. 8. 38 indexed citations
8.
Caggiano, Vittorio, et al.. (2019). Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning. PubMed. 1. 3539–3542. 1 indexed citations
9.
Sakuma, Katsuyuki, et al.. (2018). Wearable Nail Deformation Sensing for Behavioral and Biomechanical Monitoring and Human-Computer Interaction. Scientific Reports. 8(1). 18031–18031. 24 indexed citations
10.
Bellardita, Carmelo, Vittorio Caggiano, Roberto Leiras, et al.. (2017). Spatiotemporal correlation of spinal network dynamics underlying spasms in chronic spinalized mice. eLife. 6. 57 indexed citations
11.
Caggiano, Vittorio, et al.. (2016). Mirror Neurons in Monkey Premotor Area F5 Show Tuning for Critical Features of Visual Causality Perception. Current Biology. 26(22). 3077–3082. 25 indexed citations
12.
Bouvier, Julien, Vittorio Caggiano, Roberto Leiras, et al.. (2015). Descending Command Neurons in the Brainstem that Halt Locomotion. Cell. 163(5). 1191–1203. 168 indexed citations
13.
Caggiano, Vittorio, et al.. (2013). Mirror neurons in monkey area F5 do not adapt to the observation of repeated actions. Nature Communications. 4(1). 1433–1433. 30 indexed citations
14.
Christensen, Andrea, et al.. (2012). Neural theory for the perception of causal actions. Psychological Research. 76(4). 476–493. 16 indexed citations
15.
Ramos‐Murguialday, Ander, Vittorio Caggiano, Moritz Wildgruber, et al.. (2012). Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses. PLoS ONE. 7(10). e47048–e47048. 159 indexed citations
16.
Caggiano, Vittorio, Leonardo Fogassi, Giacomo Rizzolatti, et al.. (2011). View-Based Encoding of Actions in Mirror Neurons of Area F5 in Macaque Premotor Cortex. Current Biology. 21(2). 144–148. 145 indexed citations
17.
Boccignone, Giuseppe, et al.. (2006). BAYESIAN PROPAGATION FOR PERCEIVING MOVING OBJECTS. International Journal of Pattern Recognition and Artificial Intelligence. 20(6). 835–847. 2 indexed citations
18.
Boccignone, Giuseppe, Vittorio Caggiano, Paolo Napoletano, & Mario Ferraro. (2005). Image segmentation via multiresolution diffused expectation-maximisation. I–289. 3 indexed citations
19.
Boccignone, Giuseppe, et al.. (2005). Interleaved detection and tracking of faces in video. 4. II–398. 1 indexed citations
20.
Boccignone, Giuseppe, Paolo Napoletano, Vittorio Caggiano, & Mario Ferraro. (2005). A multiresolution diffused expectation–maximization algorithm for medical image segmentation. Computers in Biology and Medicine. 37(1). 83–96. 16 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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