J. Calatroni

26 papers receiving 378 citations

Peers

J. Calatroni
Comparison fields: 5 of 49
  • Computational Mechanics 132
  • Computer Vision and Pattern Recognition 106
  • Biomedical Engineering 180
  • Atomic and Molecular Physics, and Optics 103
  • Electrical and Electronic Engineering 170
Replace I. Glatt with:
I. Glatt Israel
Parameswaran Hariharan Australia
P. Viaris de Lesegno France
Abe Offner United States
M. Hrabovský Czechia
Carlos Pérez-López Mexico
Matthew P. Rimmer United States
Alexander Wolter Germany
Christian Boisrobert France
A. Conder United States
J. Calatroni relative to I. Glatt Israel I. Glatt's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Calatroni

Since Specialization
Citations

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

Fields of papers citing papers by J. Calatroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside J. Calatroni, 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 J. Calatroni Line = papers co-authored together J. Calatroni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197953
2 199452
3 199450
4 199640
5 197839
6 199037
7 198220
8 199219
9 199317
10 199717
11 19939
12 19946
13 19816
14 20006
15 19985
16 19883
17 19763
18 19873
19 19873
20 19992

About J. Calatroni

J. Calatroni is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 26 papers that have together received 396 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (12 papers), Surface Roughness and Optical Measurements (9 papers), Optical Polarization and Ellipsometry (6 papers), Advanced Measurement and Metrology Techniques (6 papers), Photonic and Optical Devices (5 papers), Thermography and Photoacoustic Techniques (5 papers), Optical and Acousto-Optic Technologies (4 papers) and Advanced Optical Imaging Technologies (3 papers). The work is most often cited by research in Computational Mechanics (132 citations), Computer Vision and Pattern Recognition (106 citations), Biomedical Engineering (180 citations), Atomic and Molecular Physics, and Optics (103 citations) and Electrical and Electronic Engineering (170 citations). J. Calatroni has collaborated with scholars based in Venezuela, France and Brazil. Frequent co-authors include Germán Da Costa, G. Tribillon, Pascal Jourdain, Patrick Sandoz, Jean-Charles Viénot, C. Froehly, P. Fievet, A. Tagliaferri and F. Dabosi. Their work appears in journals such as Optics Communications, Optics & Laser Technology, Journal of Modern Optics, Measurement Science and Technology and Journal of Materials Science.

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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