Matteo Vismara

97 total papers · 1.6k total citations
51 papers, 753 citations indexed

About

Matteo Vismara is a scholar working on Clinical Psychology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Matteo Vismara has authored 51 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Clinical Psychology, 23 papers in Psychiatry and Mental health and 12 papers in Cognitive Neuroscience. Recurrent topics in Matteo Vismara's work include Obsessive-Compulsive Spectrum Disorders (20 papers), Autism Spectrum Disorder Research (11 papers) and Bipolar Disorder and Treatment (10 papers). Matteo Vismara is often cited by papers focused on Obsessive-Compulsive Spectrum Disorders (20 papers), Autism Spectrum Disorder Research (11 papers) and Bipolar Disorder and Treatment (10 papers). Matteo Vismara collaborates with scholars based in Italy, United States and Sweden. Matteo Vismara's co-authors include Bernardo Dell’Osso, Naomi Fineberg, Benedetta Grancini, Beatrice Benatti, Vladan Starčević, Eduardo Cinosi, Caterina Viganò, Giovanni Martinotti, Claudio D’Addario and Lynne M. Drummond and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Affective Disorders.

In The Last Decade

Matteo Vismara

44 papers receiving 744 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Vismara 384 253 146 127 126 51 753
Daniele La Barbera 279 0.7× 227 0.9× 97 0.7× 74 0.6× 81 0.6× 81 677
Laura Dellazizzo 246 0.6× 239 0.9× 95 0.7× 123 1.0× 117 0.9× 45 794
Massimiliano Aragona 364 0.9× 188 0.7× 105 0.7× 112 0.9× 96 0.8× 54 810
Caterina Viganò 218 0.6× 156 0.6× 106 0.7× 79 0.6× 96 0.8× 54 624
Bruce A. Fernie 444 1.2× 163 0.6× 139 1.0× 133 1.0× 274 2.2× 30 792
Haim Dasberg 432 1.1× 189 0.7× 126 0.9× 79 0.6× 104 0.8× 56 828
Maciej Kopera 372 1.0× 183 0.7× 75 0.5× 131 1.0× 192 1.5× 48 814
Fiona Holland 299 0.8× 317 1.3× 51 0.3× 110 0.9× 162 1.3× 32 907
Lucia Sideli 357 0.9× 312 1.2× 63 0.4× 84 0.7× 104 0.8× 61 763
Shahrzad Mazhari 177 0.5× 182 0.7× 122 0.8× 193 1.5× 92 0.7× 61 893

Countries citing papers authored by Matteo Vismara

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Vismara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Vismara

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Vismara. A scholar is included among the top collaborators of Matteo Vismara 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 Vismara. Matteo Vismara 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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