Francesco LaRocca

657 total citations
23 papers, 497 citations indexed

About

Francesco LaRocca is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Francesco LaRocca has authored 23 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ophthalmology, 16 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Biomedical Engineering. Recurrent topics in Francesco LaRocca's work include Optical Coherence Tomography Applications (15 papers), Retinal Diseases and Treatments (7 papers) and Retinal Imaging and Analysis (6 papers). Francesco LaRocca is often cited by papers focused on Optical Coherence Tomography Applications (15 papers), Retinal Diseases and Treatments (7 papers) and Retinal Imaging and Analysis (6 papers). Francesco LaRocca collaborates with scholars based in United States. Francesco LaRocca's co-authors include Joseph A. Izatt, Sina Farsiu, Derek Nankivil, Anthony N. Kuo, Ryan P. McNabb, Stephanie J. Chiu, Brenton Keller, Austin Roorda, Cynthia A. Toth and Pavan Tiruveedhula and has published in prestigious journals such as Nature Photonics, Investigative Ophthalmology & Visual Science and Journal of Biomedical Optics.

In The Last Decade

Francesco LaRocca

22 papers receiving 479 citations

Peers

Francesco LaRocca
Comparison fields: 5 of 37
  • Radiology, Nuclear Medicine and Imaging 345
  • Ophthalmology 316
  • Biomedical Engineering 315
  • Epidemiology 74
  • Biophysics 52
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Dean A. VanNasdale United States
Stacey S. Choi United States
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Nripun Sredar United States
Remy Tumbar United States
Lukas Reznicek Germany
Pedro Mecê France
Danilo Andrade De Jesus Netherlands
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Citations per field, relative to Francesco LaRocca
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Citations per year, relative to Francesco LaRocca
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Countries citing papers authored by Francesco LaRocca

Since Specialization
Citations

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

Fields of papers citing papers by Francesco LaRocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco LaRocca

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco LaRocca. A scholar is included among the top collaborators of Francesco LaRocca 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 LaRocca. Francesco LaRocca 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
# Work Indexed citations
1 9
2 8
3
Optoretinography in the human retina using AOOCT and AOSLO-based eye tracking
0
4 16
5 20
6 10
7
Multi-detection Scheme for Enhancing the Signal-to-Noise Ratio in Adaptive Optics Scanning Laser Ophthalmoscopy
2
8 25
9 26
10 1
11 44
12 41
13 40
14 2
15 23
16 30
17 61
18 23
19
Robust Automatic Segmentation of Corneal Layer Boundaries in OCT Images using Graph Theory and Dynamic Programming
2
20 97

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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