Annalisa Pascarella
- Cognitive Neuroscience top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Experimental and Cognitive Psychology
- Co-authors
- Karim JerbiAlberto SorrentinoMichele PianaCristina CampiFrancesca PitolliEtienne CombrissonErkki SomersaloDaniela Calvetti
- Topics
- Neural dynamics and brain function (21 papers)Functional Brain Connectivity Studies (21 papers)Blind Source Separation Techniques (12 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- ItalyCanadaUnited States
In The Last Decade
Annalisa Pascarella
40 papers receiving 511 citations
Peers
Comparison fields: 5 of 116
- Cognitive Neuroscience 314
- Artificial Intelligence 83
- Signal Processing 78
- Radiology, Nuclear Medicine and Imaging 74
- Experimental and Cognitive Psychology 36
Countries citing papers authored by Annalisa Pascarella
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).
Fields of papers citing papers by Annalisa Pascarella
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.
Co-authorship network of co-authors of Annalisa Pascarella
This figure shows the co-authorship network connecting the top 25 collaborators of Annalisa Pascarella. A scholar is included among the top collaborators of Annalisa Pascarella 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 Annalisa Pascarella. Annalisa Pascarella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 27 | |
| 17 | 10 | |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 34 |
About Annalisa Pascarella
Annalisa Pascarella is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging, having authored 41 papers that have together received 530 indexed citations. Recurring topics across this work include Neural dynamics and brain function (21 papers), Functional Brain Connectivity Studies (21 papers) and Blind Source Separation Techniques (12 papers). The work is most often cited by research in Cognitive Neuroscience (314 citations), Signal Processing (78 citations) and Radiology, Nuclear Medicine and Imaging (74 citations). Annalisa Pascarella has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Karim Jerbi, Alberto Sorrentino, Michele Piana, Cristina Campi, Francesca Pitolli, Etienne Combrisson, Erkki Somersalo, Daniela Calvetti, Barbara Vantaggi and Tarek Lajnef. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and NeuroImage.
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.