Luca Nenna

38 total papers · 928 total citations
10 papers, 361 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 361 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), Geometric Analysis and Curvature Flows (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). Luca Nenna is often cited by papers focused on Nonlinear Partial Differential Equations (4 papers), Geometric Analysis and Curvature Flows (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). Luca Nenna collaborates with scholars based in France, Canada and Italy. Luca Nenna's co-authors include Jean‐David Benamou, Guillaume Carlier, Gabriel Peyré, Marco Cuturi, Simone Di Marino, Guillaume Carlier, Adrien Blanchet, Quentin Mérigot, Brendan Pass 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 343 citations

Hit Papers

Iterative Bregman Project... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Luca Nenna 112 69 65 62 54 10 361
Lénaïc Chizat 121 1.1× 75 1.1× 64 1.0× 45 0.7× 58 1.1× 16 385
Ronen Eldan 107 1.0× 136 2.0× 46 0.7× 109 1.8× 19 0.4× 27 394
Levon Nurbekyan 50 0.4× 73 1.1× 39 0.6× 27 0.4× 38 0.7× 23 353
Peter Zinterhof 40 0.4× 45 0.7× 44 0.7× 28 0.5× 52 1.0× 38 373
Masoumeh Dashti 37 0.3× 126 1.8× 17 0.3× 119 1.9× 45 0.8× 12 340
Donald L. Cohn 94 0.8× 39 0.6× 19 0.3× 48 0.8× 21 0.4× 6 327
Peter E. Castro 88 0.8× 73 1.1× 25 0.4× 130 2.1× 15 0.3× 7 386
ByoungSeon Choi 32 0.3× 73 1.1× 36 0.6× 62 1.0× 14 0.3× 26 337
Samy Wu Fung 18 0.2× 80 1.2× 61 0.9× 12 0.2× 54 1.0× 21 310
Hristo S. Sendov 93 0.8× 29 0.4× 47 0.7× 25 0.4× 119 2.2× 34 375

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

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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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