Laura Parisi

893 citations
14 papers · 635 indexed · h-index 8
Topics
Functional Brain Connectivity Studies (6 papers)Multiple Sclerosis Research Studies (5 papers)Neural dynamics and brain function (3 papers)
Partner nations
ItalyUnited States

In The Last Decade

Laura Parisi

13 papers receiving 627 citations

Peers

Laura Parisi
Comparison fields: 5 of 76
  • Cognitive Neuroscience 380
  • Psychiatry and Mental health 205
  • Pathology and Forensic Medicine 164
  • Neurology 84
  • Physiology 70
Replace Péter Faragó with:
Péter Faragó Hungary
Federica Di Nardo Italy
Victoria Singh‐Curry United Kingdom
Rosalía Dacosta‐Aguayo Spain
Hernán F. J. González United States
Onur Tanglay Australia
Pedro Alves Portugal
Elisabeth Klupp Germany
Christoph Aufenberg Germany
J.‐M. Lee South Korea
Laura Parisi relative to Péter Faragó Hungary Péter Faragó's profile →
Citations per field
00.5×10×14.3×
Péter Faragó · 1×
Citations per year

Countries citing papers authored by Laura Parisi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Parisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Parisi

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 7
5 17
6 5
7 3
8 82
9 56
10 74
11 76
12 87
13 221
14
[Alobar holoprosencephaly. Prenatal diagnosis and autopsy findings in 2 cases].
0

About Laura Parisi

Laura Parisi is a scholar working on Cognitive Neuroscience, Pathology and Forensic Medicine and Neurology, having authored 14 papers that have together received 635 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Multiple Sclerosis Research Studies (5 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (380 citations), Psychiatry and Mental health (205 citations) and Pathology and Forensic Medicine (164 citations). Laura Parisi has collaborated with scholars based in Italy and United States. Frequent co-authors include Maria A. Rocca, Massimo Filippi, Paolo Maria Rossini, Giovanni B. Frisoni, Florinda Ferreri, Claudio Babiloni, Giuliano Binetti, Emanuele Cassetta, Mario Tombini and Claudio Del Percio. Their work appears in journals such as Neurology, Radiology and Neuroscience.

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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