Luca Nenna

930 total citations · 1 hit paper
10 papers, 364 citations indexed

About

Luca Nenna is a scholar working on Applied Mathematics, Statistics and Probability and Geometry and Topology. According to data from OpenAlex, Luca Nenna has authored 10 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Mathematics, 4 papers in Statistics and Probability and 2 papers in Geometry and Topology. Recurrent topics in Luca Nenna's work include Nonlinear Partial Differential Equations (4 papers), Markov Chains and Monte Carlo Methods (4 papers) and Geometric Analysis and Curvature Flows (4 papers). Luca Nenna is often cited by papers focused on Nonlinear Partial Differential Equations (4 papers), Markov Chains and Monte Carlo Methods (4 papers) and Geometric Analysis and Curvature Flows (4 papers). Luca Nenna collaborates with scholars based in France, Italy and Canada. Luca Nenna's co-authors include Jean‐David Benamou, Guillaume Carlier, Marco Cuturi, Gabriel Peyré, Guillaume Carlier, Simone Di Marino, Brendan Pass, Quentin Mérigot, Adrien Blanchet and Mathieu Lewin and has published in prestigious journals such as The Journal of Physical Chemistry A, Archive for Rational Mechanics and Analysis and SIAM Journal on Scientific Computing.

In The Last Decade

Luca Nenna

8 papers receiving 347 citations

Hit Papers

Iterative Bregman Projections for Regularized Transportat... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Luca Nenna France 4 109 70 65 61 53 10 364
Lénaïc Chizat France 7 122 1.1× 77 1.1× 66 1.0× 44 0.7× 54 1.0× 16 394
Levon Nurbekyan United States 10 51 0.5× 79 1.1× 39 0.6× 26 0.4× 39 0.7× 23 365
Martial Agueh Canada 10 336 3.1× 94 1.3× 56 0.9× 63 1.0× 59 1.1× 27 635
Clark R. Givens United States 6 68 0.6× 84 1.2× 50 0.8× 39 0.6× 45 0.8× 13 438
Peter Zinterhof Austria 7 40 0.4× 45 0.6× 44 0.7× 28 0.5× 52 1.0× 38 373
Nikolay Kyurkchiev Bulgaria 11 52 0.5× 99 1.4× 28 0.4× 134 2.2× 26 0.5× 113 634
R. M. Shortt United States 8 95 0.9× 92 1.3× 50 0.8× 52 0.9× 25 0.5× 36 449
Dirk Nuyens Belgium 13 190 1.7× 26 0.4× 34 0.5× 45 0.7× 149 2.8× 43 702
Leszek Plaskota Poland 10 143 1.3× 43 0.6× 41 0.6× 47 0.8× 84 1.6× 43 396
Ovidiu Calin United States 13 289 2.7× 57 0.8× 28 0.4× 35 0.6× 21 0.4× 52 583

Countries citing papers authored by Luca Nenna

Since Specialization
Citations

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

Fields of papers citing papers by Luca Nenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Nenna

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Nenna. A scholar is included among the top collaborators of Luca Nenna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca Nenna. Luca Nenna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Nenna, Luca, et al.. (2025). An ordinary differential equation for entropic optimal transport and its linearly constrained variants. Numerische Mathematik. 157(6). 2211–2249.
2.
Marino, Simone Di, Mathieu Lewin, & Luca Nenna. (2025). Grand-Canonical Optimal Transport. Archive for Rational Mechanics and Analysis. 249(1). 1 indexed citations
3.
Nenna, Luca, et al.. (2024). Convergence rate of entropy-regularized multi-marginal optimal transport costs. Canadian Journal of Mathematics. 77(3). 1072–1092. 1 indexed citations
4.
Marino, Simone Di, Mathieu Lewin, & Luca Nenna. (2024). Ground State Energy Is Not Always Convex in the Number of Electrons. The Journal of Physical Chemistry A. 128(49). 10697–10706. 3 indexed citations
5.
Mérigot, Quentin, et al.. (2024). Robust Risk Management via Multi-marginal Optimal Transport. Journal of Optimization Theory and Applications. 202(2). 554–581. 2 indexed citations
6.
Nenna, Luca & Brendan Pass. (2023). Transport Type Metrics on the Space of Probability Measures Involving Singular Base Measures. Applied Mathematics & Optimization. 87(2). 1 indexed citations
7.
Benamou, Jean‐David, Guillaume Carlier, Simone Di Marino, & Luca Nenna. (2018). An entropy minimization approach to second-order variational mean-field\n games. arXiv (Cornell University). 18 indexed citations
8.
Benamou, Jean‐David, Guillaume Carlier, & Luca Nenna. (2018). Generalized incompressible flows, multi-marginal transport and Sinkhorn algorithm. Numerische Mathematik. 142(1). 33–54. 23 indexed citations
9.
Blanchet, Adrien, Guillaume Carlier, & Luca Nenna. (2017). Computation of Cournot–Nash Equilibria by Entropic Regularization. Vietnam Journal of Mathematics. 46(1). 15–31. 4 indexed citations
10.
Benamou, Jean‐David, Guillaume Carlier, Marco Cuturi, Luca Nenna, & Gabriel Peyré. (2015). Iterative Bregman Projections for Regularized Transportation Problems. SIAM Journal on Scientific Computing. 37(2). A1111–A1138. 311 indexed citations breakdown →

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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