Francesco Tonolini

810 citations
15 papers · 479 indexed · 1 hit paper · h-index 6
Topics
Advanced Optical Sensing Technologies (6 papers)Random lasers and scattering media (3 papers)Advanced Fluorescence Microscopy Techniques (3 papers)

In The Last Decade

Francesco Tonolini

14 papers receiving 447 citations

Hit Papers

Bayesian parameter estimation using conditional variation...202120262022202420214080120

Peers

Francesco Tonolini
Comparison fields: 5 of 59
  • Instrumentation 199
  • Acoustics and Ultrasonics 117
  • Electrical and Electronic Engineering 112
  • Astronomy and Astrophysics 103
  • Biomedical Engineering 89
Replace Brandon Cochenour with:
Brandon Cochenour United States
Hiroo Kunimori Japan
Kirk McKenzie Australia
Mark F. Spencer United States
Václav Kvičera Czechia
Vania Da Deppo Italy
Guang Wu China
Luc Leviandier France
Philip A. Hiskett United States
E. Pantin France
Francesco Tonolini relative to Brandon Cochenour United States Brandon Cochenour's profile →
Citations per field
00.5×8.6×
Brandon Cochenour · 1×
Citations per year

Countries citing papers authored by Francesco Tonolini

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Tonolini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Tonolini

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 2
3 4
4
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomybreakdown →
127
5 9
6 1
7
Variational Sparse Coding
3
8 2
9 96
10 0
11 1
12 10
13 196
14 1
15 25

About Francesco Tonolini

Francesco Tonolini is a scholar working on Acoustics and Ultrasonics, Instrumentation and Biophysics, having authored 15 papers that have together received 479 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (6 papers), Random lasers and scattering media (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Acoustics and Ultrasonics (117 citations), Instrumentation (199 citations) and Biophysics (53 citations). Francesco Tonolini has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Fadel Adib, Jonathan Leach, Daniele Faccio, Geneviève Gariépy, Robert K. Henderson, Roderick Murray‐Smith, C. Messenger, Hunter Gabbard, I. S. Heng and Susan Chan. Their work appears in journals such as Nature Photonics, Scientific Reports and Nature Physics.

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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