F. Picca

1.1k citations
12 papers · 849 · 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 845 citations

F. Picca's Hit Papers

The fast azimuthal integration Python library:pyFAI 2015 · 701 citations
7010+3+7Years since publication200400600

Peers

F. Picca
Comparison fields: 5 of 86
  • Structural Biology 21
  • Radiation 104
  • Materials Chemistry 450
  • Metals and Alloys 18
  • Catalysis 37
Replace Sarvjit Shastri with:
Sarvjit Shastri United States
Fan Jiang China
Chris Nicklin United Kingdom
Fajin Yuan United Kingdom
D. H. Pearson United States
A.G. Fox United States
Ruoshi Sun United States
Matthew Gerring France
T. Manoubi France
S. C. Chung Taiwan
F. Picca relative to Sarvjit Shastri United States Sarvjit Shastri's profile →
Citations per field
00.5×1.5×1.8×
Sarvjit Shastri · 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 →
2015701
2 201326
3 201225
4 201722
5 201217
6 201112
7 201211
8 201611
9 20107
10 20106
11 20176
12 20095

About F. Picca

F. Picca is a scholar working on Radiation, Structural Biology, Condensed Matter Physics, Biomedical Engineering and Materials Chemistry, having authored 12 papers that have together received 849 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), Advanced X-ray and CT Imaging (2 papers), Crystallography and Radiation Phenomena (2 papers), Medical Imaging Techniques and Applications (2 papers), Particle Detector Development and Performance (2 papers) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Structural Biology (21 citations), Radiation (104 citations), Materials Chemistry (450 citations), Metals and Alloys (18 citations) and Catalysis (37 citations). F. Picca has collaborated with scholars based in France, Italy and Jordan. Frequent co-authors include Zubair Nawaz, Jonathan P. Wright, Jérôme Kieffer, S. Hustache, S. Ravy, Vincent Jacques, B. Dinkespiler, Kadda Medjoubi, D. Le Bolloc’h and Jun Hee Han. Their work appears in journals such as Journal of Instrumentation, Journal of Applied Crystallography, Physical review. B., Journal of Modern Optics and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

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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