Nicolás Lerner

1.8k total citations
60 papers, 950 citations indexed

About

Nicolás Lerner is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Nicolás Lerner has authored 60 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mathematical Physics, 34 papers in Applied Mathematics and 12 papers in Computational Theory and Mathematics. Recurrent topics in Nicolás Lerner's work include Numerical methods in inverse problems (17 papers), Spectral Theory in Mathematical Physics (12 papers) and Mathematical Analysis and Transform Methods (12 papers). Nicolás Lerner is often cited by papers focused on Numerical methods in inverse problems (17 papers), Spectral Theory in Mathematical Physics (12 papers) and Mathematical Analysis and Transform Methods (12 papers). Nicolás Lerner collaborates with scholars based in France, Japan and China. Nicolás Lerner's co-authors include J.-Y. Chemin, Ferruccio Colombini, E.C. Bate-Smith, Karel Pravda‐Starov, Chao-Jiang Xu, Yoshinori Morimoto, Jérôme Le Rousseau, Xavier Blanc, Amandine Aftalion and Luc Robbiano and has published in prestigious journals such as Physical Review A, Annals of Mathematics and Lecture notes in mathematics.

In The Last Decade

Nicolás Lerner

56 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Lerner France 14 640 630 200 153 146 60 950
Robert L. Bryant United States 25 459 0.7× 1.5k 2.3× 115 0.6× 99 0.6× 123 0.8× 62 2.7k
J. Peetre Sweden 9 449 0.7× 767 1.2× 65 0.3× 83 0.5× 174 1.2× 20 1.1k
Ning Ju United States 18 376 0.6× 503 0.8× 321 1.6× 151 1.0× 158 1.1× 36 814
David C. Lay United States 16 359 0.6× 398 0.6× 54 0.3× 25 0.2× 352 2.4× 39 916
Xing‐Bin Pan China 19 452 0.7× 361 0.6× 58 0.3× 130 0.8× 590 4.0× 78 1.0k
Yu. M. Berezansky Ukraine 10 230 0.4× 183 0.3× 21 0.1× 18 0.1× 97 0.7× 26 537
John Smillie United States 20 1.0k 1.6× 167 0.3× 27 0.1× 20 0.1× 146 1.0× 52 1.3k
A. Markus Israel 10 225 0.4× 149 0.2× 28 0.1× 12 0.1× 209 1.4× 32 461
Taekyun Kim South Korea 30 487 0.8× 1.8k 2.9× 23 0.1× 33 0.2× 117 0.8× 425 4.1k
Roland Schnaubelt Germany 19 555 0.9× 675 1.1× 683 3.4× 69 0.5× 617 4.2× 78 1.2k

Countries citing papers authored by Nicolás Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Nicolás Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolás Lerner

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Lerner. A scholar is included among the top collaborators of Nicolás Lerner 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 Nicolás Lerner. Nicolás Lerner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lerner, Nicolás. (2024). Geometric Analysis of PDEs and Several Complex Variables. SPIRE - Sciences Po Institutional REpository.
2.
Lerner, Nicolás. (2024). Integrating the Wigner Distribution on Subsets of the Phase Space, a Survey. arXiv (Cornell University). 1 indexed citations
3.
Godefroy, Gilles & Nicolás Lerner. (2018). Some natural subspaces and quotient spaces of $L^1$. Advances in Operator Theory. 3(1). 61–74. 2 indexed citations
4.
Lerner, Nicolás, et al.. (2015). Gelfand–Shilov and Gevrey smoothing effect for the spatially inhomogeneous non-cutoff Kac equation. Journal of Functional Analysis. 269(2). 459–535. 11 indexed citations
5.
Lerner, Nicolás, et al.. (2014). Hermite basis diagonalization for the non-cutoff radially symmetric linearized Boltzmann operator. French digital mathematics library (Numdam). 1–10. 1 indexed citations
6.
Lerner, Nicolás, et al.. (2013). Gelfand–Shilov smoothing properties of the radially symmetric spatially homogeneous Boltzmann equation without angular cutoff. Journal of Differential Equations. 256(2). 797–831. 23 indexed citations
7.
Lerner, Nicolás, et al.. (2013). Spectral and phase space analysis of the linearized non-cutoff Kac collision operator. Journal de Mathématiques Pures et Appliquées. 100(6). 832–867. 14 indexed citations
8.
Lerner, Nicolás, et al.. (2013). Phase space analysis and functional calculus for the linearized Landau and Boltzmann operators. Kinetic and Related Models. 6(3). 625–648. 24 indexed citations
9.
Lerner, Nicolás, Yoshinori Morimoto, Karel Pravda‐Starov, & Chao-Jiang Xu. (2011). Diagonalization of the Linearized Non-Cutoff Radially Symmetric Boltzmann Operator. arXiv (Cornell University). 1 indexed citations
10.
Aftalion, Amandine, Xavier Blanc, & Nicolás Lerner. (2009). Fast rotating Bose–Einstein condensates in an asymmetric trap. Journal of Functional Analysis. 257(3). 753–806. 1 indexed citations
11.
Lerner, Nicolás. (2009). Transport equations with partially BV velocities. ANNALI SCUOLA NORMALE SUPERIORE - CLASSE DI SCIENZE. 681–703. 2 indexed citations
12.
Lerner, Nicolás & Yoshinori Morimoto. (2007). On the Fefferman–Phong Inequality and a Wiener-type Algebra of Pseudodifferential Operators. Publications of the Research Institute for Mathematical Sciences. 43(2). 329–371. 9 indexed citations
13.
Lerner, Nicolás & Yoshinori Morimoto. (2006). A Wiener algebra for the Fefferman-Phong inequality. French digital mathematics library (Numdam). 1–10. 2 indexed citations
14.
Lerner, Nicolás, et al.. (2002). Propagation des singularites Gevrey pour des équations de type principal satisfaisant la condition (P). Osaka Journal of Mathematics. 39(3). 511–521. 1 indexed citations
15.
Chemin, J.-Y. & Nicolás Lerner. (1995). Flow of Non-Lipschitz Vector-Fields and Navier-Stokes Equations. Journal of Differential Equations. 121(2). 314–328. 282 indexed citations
16.
Lerner, Nicolás. (1991). An Iff solvability condition for the oblique derivative problem. French digital mathematics library (Numdam). 1–7. 6 indexed citations
17.
Lerner, Nicolás. (1988). Uniqueness for an ill-posed problem. Journal of Differential Equations. 71(2). 255–260. 13 indexed citations
18.
Lerner, Nicolás, et al.. (1987). Quantification asymptotique et microlocalisations d'ordre supérieur. French digital mathematics library (Numdam). 1–29. 3 indexed citations
19.
Lerner, Nicolás & Luc Robbiano. (1984). Unicite de cauchy pour des operateurs de type principal par. Journal d Analyse Mathématique. 44(1). 32–66. 10 indexed citations
20.
Alinhac, Serge & Nicolás Lerner. (1980). Unicité forte à partir d'une variété de dimension quelconque pour des inégalités différentielles elliptiques. French digital mathematics library (Numdam). 1–9. 1 indexed citations

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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