Francesco Ceccarelli

783 citations
43 papers · 444 indexed · h-index 13
Topics
Neural Networks and Reservoir Computing (20 papers)Photonic and Optical Devices (18 papers)Advanced Fluorescence Microscopy Techniques (13 papers)
Partner nations
ItalyAustriaBrazil

In The Last Decade

Francesco Ceccarelli

38 papers receiving 417 citations

Peers

Francesco Ceccarelli
Comparison fields: 5 of 47
  • Electrical and Electronic Engineering 214
  • Artificial Intelligence 204
  • Instrumentation 119
  • Atomic and Molecular Physics, and Optics 114
  • Biophysics 95
Replace Jiaju Ma with:
Jiaju Ma United States
Daniele Perenzoni Italy
Bänz Bessire Switzerland
Rudi Lussana Italy
Bernhard Goll Austria
Luca Parmesan United Kingdom
Ming-Lo Wu Switzerland
Arin Can Ülkü Switzerland
Andrei Ardelean Switzerland
Guido Zambra Italy
Francesco Ceccarelli relative to Jiaju Ma United States Jiaju Ma's profile →
Citations per field
00.5×7.8×
Jiaju Ma · 1×
Citations per year

Countries citing papers authored by Francesco Ceccarelli

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Ceccarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Ceccarelli

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 1
5 1
6 1
7 15
8 16
9 2
10 15
11 3
12 31
13 5
14 14
15 16
16 102
17 30
18 17
19 9
20 6

About Francesco Ceccarelli

Francesco Ceccarelli is a scholar working on Instrumentation, Biophysics and Acoustics and Ultrasonics, having authored 43 papers that have together received 444 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (20 papers), Photonic and Optical Devices (18 papers) and Advanced Fluorescence Microscopy Techniques (13 papers). The work is most often cited by research in Instrumentation (119 citations), Biophysics (95 citations) and Artificial Intelligence (204 citations). Francesco Ceccarelli has collaborated with scholars based in Italy, Austria and Brazil. Frequent co-authors include Roberto Osellame, Angelo Gulinatti, Ivan Rech, Massimo Ghioni, Simone Piacentini, Andrea Crespi, Giulia Acconcia, Philip Walther, Fabio Sciarrino and Michele Spagnolo. Their work appears in journals such as Nature Photonics, Scientific Reports and Science Advances.

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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