Pierre Vial

1.2k citations
10 papers · 719 · 1 hit paper · h-index 5

Impact in

Papers in

Pierre Vial

10 papers receiving 644 citations

Pierre Vial's Hit Papers

Wavelets on the Interval and Fast Wavelet Transforms 1993 · 652 citations
6520+11+22Years since publication200400600

Peers

Pierre Vial
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 438
  • Applied Mathematics 179
  • Statistics and Probability 133
  • Signal Processing 90
  • Computational Mechanics 154
Replace D. Picard with:
D. Picard France
Gilbert G. Walter United States
Felix Abramovich Israel
G. Kerkyacharian France
Serge Dubuc Canada
Jérémie Bigot France
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-authors

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
Wavelets on the Interval and Fast Wavelet Transforms
Hit paper breakdown →
1993652
2 199732
3 201710
4 20177
5
Polyadic Approximations, Fibrations and Intersection Types
20185
6
Pour une renaissance culturelle : le G.R.E.C.E. prend la parole
19794
7 20173
8 20203
9 20172
10 20201

About Pierre Vial

Pierre Vial is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 10 papers that have together received 719 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), Cultural Identity and Heritage (1 paper), Cancer Treatment and Pharmacology (1 paper) and Polynomial and algebraic computation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Applied Mathematics (179 citations), Statistics and Probability (133 citations), Signal Processing (90 citations) and Computational Mechanics (154 citations). Pierre Vial has collaborated with scholars based in France and United States. Frequent co-authors include Albert Cohen, Ingrid Daubechies, Anestis Antoniadis, Gérard Gregoire, Delia Kesner and Damiano Mazza. Their work appears in journals such as Proceedings of the ACM on Programming Languages, Applied and Computational Harmonic Analysis, Statistics & Probability Letters, DOAJ (DOAJ: Directory of Open Access Journals) and HAL (Le Centre pour la Communication Scientifique Directe).

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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