Pierre Vial

1.2k citations
10 papers · 717 indexed · 1 hit paper · h-index 5

Impact in

Papers in

Pierre Vial

10 papers receiving 643 citations

Hit Papers

Wavelets on the Interval and Fast Wavelet Transforms 1993 · 650 citations
6501993202620042015200400600

Peers

Pierre Vial
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 440
  • Applied Mathematics 180
  • Statistics and Probability 133
  • Signal Processing 90
  • Computational Mechanics 153
Replace D. Picard with:
D. Picard France
Gilbert G. Walter United States
G. Kerkyacharian France
Felix Abramovich Israel
Serge Dubuc Canada
Stefan Kindermann Austria
Hong‐Ye Gao United States
E. Masry United States
Piotr Mikusiński United States
Eugenio Hernández Spain
Pierre Vial relative to D. Picard France D. Picard's profile →
Citations per field
00.5×2.7×
D. Picard · 1×
Citations per year

Countries citing papers authored by Pierre Vial

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Vial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Pierre Vial, 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 Pierre Vial Line = papers co-authored together Pierre Vial links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20201
2 20203
3
Polyadic Approximations, Fibrations and Intersection Types
20185
4 20173
5 201710
6 20177
7 20172
8 199732
9
Wavelets on the Interval and Fast Wavelet Transforms
Hit paper breakdown →
1993650
10
Pour une renaissance culturelle : le G.R.E.C.E. prend la parole
19794

About Pierre Vial

Pierre Vial is a scholar working on Computational Theory and Mathematics, Mathematical Physics, Artificial Intelligence, Statistics and Probability and Media Technology, having authored 10 papers that have together received 717 indexed citations. Recurring topics across this work include Logic, programming, and type systems (6 papers), Logic, Reasoning, and Knowledge (4 papers), Formal Methods in Verification (3 papers), Image and Signal Denoising Methods (2 papers), Homotopy and Cohomology in Algebraic Topology (2 papers), Mathematics, Computing, and Information Processing (1 paper), Advanced Image Fusion Techniques (1 paper) and Polynomial and algebraic computation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (440 citations), Applied Mathematics (180 citations), Statistics and Probability (133 citations), Signal Processing (90 citations) and Computational Mechanics (153 citations). Pierre Vial has collaborated with scholars based in France and United States. Frequent co-authors include Albert Cohen, Ingrid Daubechies, Gérard Gregoire, Anestis Antoniadis, Delia Kesner and Damiano Mazza. Their work appears in journals such as Applied and Computational Harmonic Analysis, Proceedings of the ACM on Programming Languages, Statistics & Probability Letters, SHILAP Revista de lepidopterología and SPIRE - Sciences Po Institutional REpository.

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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