Francesco Frisone

528 total citations
9 papers, 122 citations indexed

About

Francesco Frisone is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Francesco Frisone has authored 9 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 2 papers in Biomedical Engineering. Recurrent topics in Francesco Frisone's work include Neural Networks and Applications (5 papers), Neural dynamics and brain function (3 papers) and Functional Brain Connectivity Studies (2 papers). Francesco Frisone is often cited by papers focused on Neural Networks and Applications (5 papers), Neural dynamics and brain function (3 papers) and Functional Brain Connectivity Studies (2 papers). Francesco Frisone collaborates with scholars based in Italy and United States. Francesco Frisone's co-authors include Roberto Bellù, Andrea Brunelli, Alberto Cavazza, David Cella, Maria Antonietta Avanzini, Daniele Merazzi, Gianfranco Perotti, Luigi Gagliardi, Pietro Morasso and Vittorio Sanguineti and has published in prestigious journals such as NeuroImage, Behavioral and Brain Sciences and Neurocomputing.

In The Last Decade

Francesco Frisone

6 papers receiving 112 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Frisone Italy	3	79	68	22	21	11	9	122
N. Colley United Kingdom	7	45 0.6×	87 1.3×	22 1.0×	14 0.7×	5 0.5×	10	166
Winok Lapidaire United Kingdom	8	58 0.7×	84 1.2×	47 2.1×	12 0.6×	3 0.3×	21	185
José Luiz Muniz Bandeira Duarte Brazil	5	31 0.4×	47 0.7×	16 0.7×	10 0.5×	25 2.3×	11	71
Frank A B A Schuerman Netherlands	4	38 0.5×	36 0.5×	7 0.3×	16 0.8×	5 0.5×	5	68
Yinping Qiu China	5	74 0.9×	48 0.7×	21 1.0×	35 1.7×	4 0.4×	9	118
Mangalabharathi Sundaram India	6	31 0.4×	37 0.5×	34 1.5×	6 0.3×	3 0.3×	13	103
Fatima El Moussawi France	3	199 2.5×	96 1.4×	29 1.3×	135 6.4×	4 0.4×	4	234
Aya Koyanagi Japan	8	19 0.2×	98 1.4×	47 2.1×	35 1.7×		29	166
Meera Khorana Thailand	8	87 1.1×	23 0.3×	65 3.0×	39 1.9×	2 0.2×	14	159
Erbu Yarcı Türkiye	8	42 0.5×	33 0.5×	17 0.8×	32 1.5×		14	95

Countries citing papers authored by Francesco Frisone

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Frisone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Frisone

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

All Works

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9 of 9 papers shown

1.

Gagliardi, Luigi, Alberto Cavazza, Andrea Brunelli, et al.. (2004). Assessing mortality risk in very low birthweight infants: a comparison of CRIB, CRIB-II, and SNAPPE-II. Archives of Disease in Childhood Fetal & Neonatal. 89(5). F419–F422. 105 indexed citations

2.

Sanguineti, Vittorio, et al.. (2000). Analysis of fMRI time series with mixtures of Gaussians. 39. 331–334 vol.1. 3 indexed citations

3.

Frisone, Francesco, Paolo Vitali, Pietro Morasso, et al.. (1999). Self-organizing neural networks for fMRI signal detection. NeuroImage. 9. 2 indexed citations

4.

Frisone, Francesco, Paolo Vitali, M. E. Marongiu, et al.. (1999). Can the synchronization of cortical areas be evidenced by fMRI?. Neurocomputing. 26-27. 1019–1024. 2 indexed citations

5.

Sanguineti, Vittorio, et al.. (1998). Can non-linear muscle dynamics explain the smoothness of handwriting movements?. Acta Psychologica. 100(1-2). 217–227. 1 indexed citations

6.

Frisone, Francesco, Pietro Morasso, & Luca Perico. (1998). Self-organization in Cortical Maps & EM-learning. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2(6). 178–184. 1 indexed citations

7.

Morasso, Pietro, Vittorio Sanguineti, Francesco Frisone, & Luca Perico. (1998). Coordinate-free sensorimotor processing: computing with population codes. Neural Networks. 11(7-8). 1417–1428. 6 indexed citations

8.

Morasso, Pietro, Vittorio Sanguineti, & Francesco Frisone. (1997). A Principled Approach to a Theory of Self-organization in Cortical Maps Based on EM-Learning.. International Conference on Neural Information Processing. 166–169. 1 indexed citations

9.

Morasso, Pietro, Vittorio Sanguineti, & Francesco Frisone. (1997). Topologic organization of context fields for sensorimotor coordination. Behavioral and Brain Sciences. 20(4). 693–693. 1 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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