F. Picca

1.1k citations
12 papers · 910 · 1 hit paper · h-index 8

Impact in

Papers in

    • Advanced X-ray Imaging Techniques 5
    • X-ray Spectroscopy and Fluorescence Analysis 3
    • Advanced Electron Microscopy Techniques and Applications 3

F. Picca

12 papers receiving 901 citations

F. Picca's Hit Papers

The fast azimuthal integration Python library: pyFAI 2015 · 758 citations
7580+3+7Years since publication250500750

Peers

F. Picca
Comparison fields: 5 of 86
  • Structural Biology 22
  • Radiation 108
  • Materials Chemistry 466
  • Metals and Alloys 18
  • Catalysis 38
Replace Matthew W. Gerring with:
Matthew W. Gerring United States
Giannis Ashiotis Cyprus
Fajin Yuan United Kingdom
Inna L. Soroka Sweden
Sarvjit Shastri United States
GUNTER LEONHARDT Germany
M. G. Blanchin France
Chris Nicklin United Kingdom
Anatoly S. Avilov Russia
Ralf Keding Germany
F. Picca relative to Matthew W. Gerring United States Matthew W. Gerring's profile →
Citations per field
00.5×2×3×3.7×
Matthew W. Gerring · 1×
Citations per year

Countries citing papers authored by F. Picca

Since Specialization
Citations

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

Fields of papers citing papers by F. Picca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside F. Picca, 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 F. Picca Line = papers co-authored together F. Picca links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The fast azimuthal integration Python library: pyFAI
Hit paper breakdown →
2015758
2 201326
3 201225
4 201723
5 201218
6 201613
7 201212
8 201112
9 20176
10 20106
11 20106
12 20095

About F. Picca

F. Picca is a scholar working on Radiation, Structural Biology, Condensed Matter Physics, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 910 indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (5 papers), Advanced Electron Microscopy Techniques and Applications (3 papers), X-ray Spectroscopy and Fluorescence Analysis (3 papers), Particle Detector Development and Performance (2 papers), Medical Imaging Techniques and Applications (2 papers), Crystallography and Radiation Phenomena (2 papers), Advanced X-ray and CT Imaging (2 papers) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Structural Biology (22 citations), Radiation (108 citations), Materials Chemistry (466 citations), Metals and Alloys (18 citations) and Catalysis (38 citations). F. Picca has collaborated with scholars based in France, Italy and Jordan. Frequent co-authors include Jérôme Kieffer, Jonathan Paul Wright, Giannis Ashiotis, Zubair Nawaz, S. Hustache, Pierre Delpierre, Kadda Medjoubi, Bernard Dinkespiler, Vincent Jacques and S. Ravy. Their work appears in journals such as Journal of Applied Crystallography, Journal of Instrumentation, Surface Science, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Physical review. B..

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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