D. Picard

23 papers receiving 667 citations

Peers

D. Picard
Comparison fields: 5 of 56
  • Statistics and Probability 183
  • Applied Mathematics 204
  • Computer Vision and Pattern Recognition 290
  • Mathematical Physics 83
  • Finance 88
Replace G. Kerkyacharian with:
G. Kerkyacharian France
Piotr Mikusiński United States
Pierre Vial France
Gilbert G. Walter United States
Marc Arnaudon France
Jacob Burbea United States
Serge Dubuc Canada
Pencho Petrushev United States
Aline Bonami France
Martial Agueh Canada
D. Picard relative to G. Kerkyacharian France G. Kerkyacharian's profile →
Citations per field
00.5×1.5×
G. Kerkyacharian · 1×
Citations per year

Countries citing papers authored by D. Picard

Since Specialization
Citations

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

Fields of papers citing papers by D. Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992147
2 2007100
3 200287
4
ON THE MINIMAX OPTIMALITY OF BLOCK THRESHOLDED WAVELET ESTIMATORS
199985
5 198871
6 200063
7
Asymptotics for spherical needlets
200954
8 200929
9 200218
10 200816
11 200814
12 198510
13 19827
14 20126
15 20025
16 20135
17
Optimization of the arrangement compact range-modulated scattering probe array for rapid far-field antenna measurement
19933
18 20143
19 20143
20 19922

About D. Picard

D. Picard is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Applied Mathematics and Statistics and Probability, having authored 25 papers that have together received 732 indexed citations. Recurring topics across this work include Electromagnetic Compatibility and Measurements (10 papers), Antenna Design and Optimization (7 papers), Image and Signal Denoising Methods (6 papers), Antenna Design and Analysis (5 papers), Statistical Methods and Inference (4 papers), Mathematical Analysis and Transform Methods (4 papers), Mathematical Approximation and Integration (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Statistics and Probability (183 citations), Applied Mathematics (204 citations), Computer Vision and Pattern Recognition (290 citations), Mathematical Physics (83 citations) and Finance (88 citations). D. Picard has collaborated with scholars based in France, United States and Italy. Frequent co-authors include G. Kerkyacharian, Peter A. Hall, Domenico Marinucci, Paolo Baldi, Laurent Cavalier, A. B. Tsybakov, Jean‐Charles Bolomey, Oleg Lepski, P. Natoli and N. Vittorio. Their work appears in journals such as The Annals of Statistics, Computational Statistics & Data Analysis, IEEE Transactions on Antennas and Propagation, The Annals of Applied Statistics and Monthly Notices of the Royal Astronomical Society.

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.

Explore authors with similar magnitude of impact