Marco Lanzilotto

34 total papers · 706 total citations
23 papers, 425 citations indexed

About

Marco Lanzilotto is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marco Lanzilotto has authored 23 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 12 papers in Social Psychology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marco Lanzilotto's work include Action Observation and Synchronization (11 papers), Motor Control and Adaptation (7 papers) and Neural dynamics and brain function (7 papers). Marco Lanzilotto is often cited by papers focused on Action Observation and Synchronization (11 papers), Motor Control and Adaptation (7 papers) and Neural dynamics and brain function (7 papers). Marco Lanzilotto collaborates with scholars based in Italy, United States and Germany. Marco Lanzilotto's co-authors include Luca Bonini, Monica Maranesi, Alessandro Livi, Cristina Lucchetti, Vincenzo Perciavalle, Guy A. Orban, Marzio Gerbella, Leonardo Fogassi, Patrick Ruther and Leopoldo Bon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Marco Lanzilotto

22 papers receiving 423 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco Lanzilotto 349 224 80 46 43 23 425
Stefania Bruni 292 0.8× 235 1.0× 58 0.7× 30 0.7× 32 0.7× 20 443
Rajan Bhattacharyya 323 0.9× 73 0.3× 63 0.8× 43 0.9× 22 0.5× 27 415
Gabriella Tamburro 332 1.0× 55 0.2× 46 0.6× 23 0.5× 20 0.5× 26 439
Pierre Morel 256 0.7× 52 0.2× 62 0.8× 20 0.4× 22 0.5× 13 371
Håkan Sundberg 205 0.6× 54 0.2× 38 0.5× 76 1.7× 49 1.1× 15 422
Eric Bertasi 155 0.4× 47 0.2× 65 0.8× 48 1.0× 60 1.4× 13 390
Juliana Dushanova 293 0.8× 132 0.6× 50 0.6× 30 0.7× 27 0.6× 30 382
Takeshi Asamizuya 369 1.1× 111 0.5× 32 0.4× 58 1.3× 27 0.6× 12 492
Vernon Rowland 270 0.8× 40 0.2× 131 1.6× 23 0.5× 20 0.5× 18 414
Roland Philipp 313 0.9× 175 0.8× 55 0.7× 28 0.6× 49 1.1× 9 375

Countries citing papers authored by Marco Lanzilotto

Since Specialization
Citations

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

Fields of papers citing papers by Marco Lanzilotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Lanzilotto

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

All Works

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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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