Victor M. Panaretos

Statistics and Probability · 2010–2021

A researcher in the Science corpus: 8 papers; trusts 96 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 64 citations into it; #5,323 of 12,932 by trust here, #10,275 by citations
• Applied Mathematics — 49 citations into it; #2,777 of 7,620 by trust here, #1,958 by citations
• Geometry and Topology — 22 citations into it; #3,805 of 7,422 by trust here, #4,440 by citations
• Artificial Intelligence — 19 citations into it; #14,708 of 35,345 by trust here, #32,362 by citations
• Finance — 15 citations into it; #2,744 of 10,518 by trust here, #7,251 by citations
• Computational Theory and Mathematics — 13 citations into it
• Mathematical Physics — 10 citations into it
• Molecular Biology — 10 citations into it; #5,883 of 17,773 by trust here, #14,833 by citations

Whom Victor M. Panaretos trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter Hall
2. Cédric Villani
3. Robert J. McCann
4. Frédéric Ferraty
5. Daniel Gervini
6. Piotr Kokoszka
7. Marco Cuturi
8. H. Muller
9. Hermann Karcher
10. Fang Yao

Who trusts Victor M. Panaretos overall

1. Xianyang Zhang
2. Siegfried Hormann
3. Anne van Delft
4. Jane-ling Wang
5. Efstathios Paparoditis
6. Marc Hallin
7. H. Muller
8. Alexander Aue
9. Shahin Tavakoli
10. David Kraus

Papers from Victor M. Panaretos's perspective

Ordered by how strongly the researchers Victor M. Panaretos trusts endorse each paper. Same corpus, a different order for every researcher.

1. Topics in Optimal Transportation
2. Optimal Transport: Old and New
3. Linear Processes in Function Spaces: Theory And Applications
4. Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics)
5. A Convexity Principle for Interacting Gases
6. On properties of functional principal components analysis
7. Linear Processes in Function Spaces
8. The concentration of measure phenomenon
9. Functional Data Analysis
10. Gradient Flows: In Metric Spaces and in the Space of Probability Measures

Their papers

• Distribution-on-Distribution Regression via Optimal Transport Maps (2021) — 56 citations
• Cramér–Karhunen–Loève representation and harmonic principal component analysis of functional time series (2013) — 84 citations
• Dispersion operators and resistant second-order functional data analysis (2012) — 70 citations
• Fourier analysis of stationary time series in function space (2013) — 155 citations
• Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles (2010) — 112 citations
• An Invitation to Statistics in Wasserstein Space (2020) — 249 citations
• Statistical Aspects of Wasserstein Distances (2018) — 980 citations
• Fréchet means and Procrustes analysis in Wasserstein space (2017) — 129 citations