D. Perret

2.5k citations
13 papers · 315 indexed · h-index 6

Impact in

    • Plant Disease Resistance and Genetics
    • Genetics and Plant Breeding
    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research

Papers in

D. Perret

13 papers receiving 299 citations

Peers

D. Perret
Comparison fields: 5 of 45
  • Plant Science 235
  • Health Informatics 6
  • Genetics 112
  • Biochemistry 22
  • Molecular Biology 166
Replace Bei Wu with:
Bei Wu China
A. Ono Japan
Yuan Fan China
K. Padmaja India
Corinna Streitner Germany
Josh Resnik United States
Jung-Hoon Kim South Korea
Jan C. Schöning Germany
Sachiko Okada Japan
D. Perret relative to Bei Wu China Bei Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Perret

Since Specialization
Citations

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

Fields of papers citing papers by D. Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2005242
2 199731
3 201610
4 20128
5 20147
6 20255
7 20253
8 20173
9 20232
10 20181
11 20071
12 20181
13 20181

About D. Perret

D. Perret is a scholar working on Health Informatics, Family Practice, Instrumentation, Atomic and Molecular Physics, and Optics and Health Information Management, having authored 13 papers that have together received 315 indexed citations. Recurring topics across this work include Adaptive optics and wavefront sensing (7 papers), Optical Systems and Laser Technology (4 papers), Optical Wireless Communication Technologies (2 papers), Advanced optical system design (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Particle Detector Development and Performance (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Patient-Provider Communication in Healthcare (1 paper). The work is most often cited by research in Plant Science (235 citations), Health Informatics (6 citations), Genetics (112 citations), Biochemistry (22 citations) and Molecular Biology (166 citations). D. Perret has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Patrick Vincourt, Philippe Blanchard, Joël Piquemal, Philippe Blanchard, Ahmed Rebaï, ‪Damien Gratadour‬, Arnaud Sevin, Gérard Rousset, Steven Tam and É. Gendron. Their work appears in journals such as Theoretical and Applied Genetics, Journal of the American Medical Informatics Association, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Studies in health technology and informatics and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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