Fabio Solari

1.3k citations
118 papers · 935 · h-index 17

Impact in

Papers in

Fabio Solari

109 papers receiving 913 citations

Peers

Fabio Solari
Comparison fields: 5 of 99
  • Human-Computer Interaction 303
  • Computer Vision and Pattern Recognition 462
  • Cognitive Neuroscience 336
  • Media Technology 128
  • Ophthalmology 45
Replace Manuela Chessa with:
Manuela Chessa Italy
Silvio P. Sabatini Italy
Matei Mancaş Belgium
Jason Orlosky Japan
Wolf Kienzle United States
Paul R. MacNeilage United States
Claudio M. Privitera United States
Denis Pellerin France
Fabio Solari relative to Manuela Chessa Italy Manuela Chessa's profile →
Citations per field
00.5×1.5×
Manuela Chessa · 1×
Citations per year

Countries citing papers authored by Fabio Solari

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Solari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fabio Solari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fabio Solari Line = papers co-authored together Fabio Solari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201344
2 202142
3 201435
4 202133
5 201029
6 200126
7 201525
8 200723
9 201923
10 201723
11 201623
12 201422
13 201820
14 202120
15 201519
16 201019
17 201918
18 201117
19 201617
20 202017

About Fabio Solari

Fabio Solari is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology and Aerospace Engineering, having authored 118 papers that have together received 935 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (35 papers), Virtual Reality Applications and Impacts (35 papers), Visual perception and processing mechanisms (31 papers), Augmented Reality Applications (16 papers), Neural dynamics and brain function (15 papers), Advanced Optical Imaging Technologies (13 papers), Robotics and Sensor-Based Localization (11 papers) and Retinal Development and Disorders (10 papers). The work is most often cited by research in Human-Computer Interaction (303 citations), Computer Vision and Pattern Recognition (462 citations), Cognitive Neuroscience (336 citations), Media Technology (128 citations) and Ophthalmology (45 citations). Fabio Solari has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Manuela Chessa, Silvio P. Sabatini, Andrea Canessa, Guido Maiello, Agostino Gibaldi, Peter John Bex, Giovanni Maria Bisio, Javier Díaz, Eduardo Ros and Pierre Kornprobst. Their work appears in journals such as Neurocomputing, Computer Vision and Image Understanding, Journal of Vision, IEEE Access and Virtual Reality.

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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