Annalisa Pascarella

38 papers and 441 indexed citations i.

About

Annalisa Pascarella is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Annalisa Pascarella has authored 38 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 13 papers in Signal Processing and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Annalisa Pascarella’s work include Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (21 papers) and Blind Source Separation Techniques (12 papers). Annalisa Pascarella is often cited by papers focused on Functional Brain Connectivity Studies (21 papers), Neural dynamics and brain function (21 papers) and Blind Source Separation Techniques (12 papers). Annalisa Pascarella collaborates with scholars based in Italy, Canada and United States. Annalisa Pascarella's co-authors include Alberto Sorrentino, Michele Piana, Cristina Campi, Karim Jerbi, Francesca Pitolli, Erkki Somersalo, Daniela Calvetti, Barbara Vantaggi, Etienne Combrisson and Lauri Parkkonen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Journal of Cognitive Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Annalisa Pascarella i

Fields of papers citing papers by Annalisa Pascarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Annalisa Pascarella

Since Specialization
Citations

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

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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2025