Lorenzo Pasquini

69 total papers · 2.1k total citations
30 papers, 871 citations indexed

About

Lorenzo Pasquini is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lorenzo Pasquini has authored 30 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 13 papers in Psychiatry and Mental health and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lorenzo Pasquini's work include Functional Brain Connectivity Studies (19 papers), Dementia and Cognitive Impairment Research (12 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Lorenzo Pasquini is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Dementia and Cognitive Impairment Research (12 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Lorenzo Pasquini collaborates with scholars based in United States, Germany and United Kingdom. Lorenzo Pasquini's co-authors include Christian Sorg, Timo Grimmer, Alexander Drzezga, Valentin Riedl, Masoud Tahmasian, Fernanda Palhano-Fontes, Dráulio Barros de Araújo, Martin Scherr, Nicholas E. Myers and Hans Förstl and has published in prestigious journals such as Nature Communications, NeuroImage and Brain.

In The Last Decade

Lorenzo Pasquini

28 papers receiving 868 citations

Author Peers

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

Author						Papers	Cites
Lorenzo Pasquini	529	277	235	220	120	30	871
Stefano Delli Pizzi	376 0.7×	237 0.9×	157 0.7×	148 0.7×	142 1.2×	48	859
Ottavia Dipasquale	550 1.0×	149 0.5×	231 1.0×	134 0.6×	126 1.1×	54	958
Linda Patterson	369 0.7×	258 0.9×	254 1.1×	118 0.5×	139 1.2×	16	1.1k
Cristelle Rodriguez	447 0.8×	327 1.2×	320 1.4×	186 0.8×	76 0.6×	55	945
Katrin Arélin	290 0.5×	193 0.7×	190 0.8×	241 1.1×	65 0.5×	27	1.0k
Julia Luthardt	247 0.5×	276 1.0×	269 1.1×	246 1.1×	210 1.8×	45	988
Tommaso Ballarini	372 0.7×	284 1.0×	146 0.6×	186 0.8×	73 0.6×	20	834
Ronald D. Kaplan	386 0.7×	368 1.3×	126 0.5×	111 0.5×	144 1.2×	22	837
Raffaele Cacciaglia	398 0.8×	266 1.0×	128 0.5×	235 1.1×	108 0.9×	41	891
Michael Brickhouse	487 0.9×	383 1.4×	149 0.6×	288 1.3×	94 0.8×	37	865

Countries citing papers authored by Lorenzo Pasquini

Since Specialization

Citations

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

Fields of papers citing papers by Lorenzo Pasquini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Pasquini

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