Marc Vilanova

1.4k total citations
2 papers, 3 citations indexed

About

Marc Vilanova is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marc Vilanova has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Pediatrics, Perinatology and Child Health, 1 paper in Cognitive Neuroscience and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marc Vilanova's work include Functional Brain Connectivity Studies (1 paper), Neonatal and fetal brain pathology (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). Marc Vilanova is often cited by papers focused on Functional Brain Connectivity Studies (1 paper), Neonatal and fetal brain pathology (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). Marc Vilanova collaborates with scholars based in Spain. Marc Vilanova's co-authors include Carles Falcón, Laura Blanco‐Hinojo, Marco Cremonini, Ioar Rivas, Mireia Gascón, Jesús Pujol, María Dolores Gómez‐Roig, Elisa Llurba, Jesús Luna and Jordi Sunyer and has published in prestigious journals such as NeuroImage.

In The Last Decade

Marc Vilanova

2 papers receiving 3 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Vilanova Spain 2 2 1 1 1 2 3
Abien Fred Agarap Czechia 2 2 1.0× 2 2
Raakhee Vijayaraghavan United States 2 2 1.0× 4 4
Deborah Duchardt Germany 2 2 1.0× 2 3
G. Koren United States 2 2 1.0× 2 2
Adam Bates United Kingdom 1 2 1.0× 2 4
Iain Bancarz Canada 2 2 1.0× 3 4
S. Messina Italy 2 2 1.0× 2 6
A. Woch Poland 2 2 1.0× 9 5
Maria Teresa García Morales Spain 1 2 1.0× 3 2

Countries citing papers authored by Marc Vilanova

Since Specialization
Citations

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

Fields of papers citing papers by Marc Vilanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Vilanova

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

All Works

2 of 2 papers shown
1.
Pujol, Jesús, Laura Blanco‐Hinojo, Gerard Martínez‐Vilavella, et al.. (2024). Functional structure of local connections and differentiation of cerebral cortex areas in the neonate. NeuroImage. 298. 120780–120780. 1 indexed citations
2.
Solorio, Thamar, Jesús Luna, Marco Cremonini, et al.. (2010). 2010 eCrime Researchers Summit Table of Contents Authorship Attribution of Web Forum Posts. 2 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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