Lenka Zdeborová

10.1k total citations · 3 hit papers
104 papers, 5.0k citations indexed

About

Lenka Zdeborová is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Lenka Zdeborová has authored 104 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 29 papers in Statistical and Nonlinear Physics and 26 papers in Statistics and Probability. Recurrent topics in Lenka Zdeborová's work include Theoretical and Computational Physics (20 papers), Complex Network Analysis Techniques (19 papers) and Sparse and Compressive Sensing Techniques (16 papers). Lenka Zdeborová is often cited by papers focused on Theoretical and Computational Physics (20 papers), Complex Network Analysis Techniques (19 papers) and Sparse and Compressive Sensing Techniques (16 papers). Lenka Zdeborová collaborates with scholars based in France, Switzerland and United States. Lenka Zdeborová's co-authors include Florent Krząkała, Cristopher Moore, K. Cranmer, Leslie Vogt-Maranto, Laurent Daudet, Giuseppe Carleo, Maria Schuld, Naftali Tishby, J. I. Cirac and Aurélien Decelle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Lenka Zdeborová

97 papers receiving 4.9k citations

Hit Papers

Machine learning and the physical sciences 2011 2026 2016 2021 2019 2011 2013 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning and the physical sciences
    2019 1.4k citations Giuseppe Carleo, J. I. Cirac et al. Reviews of Modern Physics profile →
  2. Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
    2011 379 citations Aurélien Decelle, Florent Krząkała et al. Physical Review E profile →
  3. Spectral redemption in clustering sparse networks
    2013 340 citations Florent Krząkała, Cristopher Moore et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lenka Zdeborová France 27 1.9k 1.6k 694 617 604 104 5.0k
Florent Krząkała France 32 1.4k 0.7× 1.4k 0.8× 580 0.8× 993 1.6× 491 0.8× 114 4.0k
Christian Borgs United States 40 1.0k 0.5× 747 0.5× 514 0.7× 1.2k 1.9× 667 1.1× 142 4.9k
Federico Ricci‐Tersenghi Italy 31 892 0.5× 558 0.3× 589 0.8× 1.6k 2.6× 544 0.9× 139 3.0k
Jennifer Chayes United States 44 1.3k 0.7× 749 0.5× 539 0.8× 1.9k 3.0× 772 1.3× 146 5.9k
Yi‐Cheng Zhang Switzerland 26 4.1k 2.2× 1.6k 1.0× 897 1.3× 1.5k 2.4× 340 0.6× 83 7.6k
Cédric Villani France 38 1.7k 0.9× 1.1k 0.6× 257 0.4× 235 0.4× 1.4k 2.3× 82 11.6k
Michael W. Mahoney United States 44 2.3k 1.2× 4.1k 2.5× 1.1k 1.6× 164 0.3× 1.1k 1.8× 166 11.3k
Wolfgang Kinzel Germany 39 1.4k 0.8× 1.1k 0.7× 992 1.4× 1.9k 3.1× 414 0.7× 171 4.4k
Andrea Montanari United States 42 1.2k 0.6× 2.3k 1.4× 2.4k 3.4× 793 1.3× 871 1.4× 179 10.6k
Riccardo Zecchina Italy 39 1.2k 0.6× 1.7k 1.1× 1.6k 2.3× 831 1.3× 1.3k 2.1× 128 7.2k

Countries citing papers authored by Lenka Zdeborová

Since Specialization
Citations

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

Fields of papers citing papers by Lenka Zdeborová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lenka Zdeborová

This figure shows the co-authorship network connecting the top 25 collaborators of Lenka Zdeborová. A scholar is included among the top collaborators of Lenka Zdeborová 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 Lenka Zdeborová. Lenka Zdeborová 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.
Lucibello, Carlo, et al.. (2025). Phase diagram of compressed sensing with ℓ 0 -norm regularization. Journal of Statistical Mechanics Theory and Experiment. 2025(6). 63402–63402.
2.
Zdeborová, Lenka, et al.. (2024). Dynamical phase transitions in graph cellular automata. Physical review. E. 109(4). 44312–44312. 4 indexed citations
3.
Alaoui, A. El, et al.. (2024). On the atypical solutions of the symmetric binary perceptron. Journal of Physics A Mathematical and Theoretical. 57(19). 195202–195202. 2 indexed citations
4.
Guionnet, Alice, Justin Ko, Florent Krząkała, & Lenka Zdeborová. (2024). Estimating Rank-One Matrices with Mismatched Prior and Noise: Universality and Large Deviations. Communications in Mathematical Physics. 406(1). 3 indexed citations
5.
Zdeborová, Lenka, et al.. (2024). Counting and hardness-of-finding fixed points in cellular automata on random graphs. Journal of Physics A Mathematical and Theoretical. 57(46). 465001–465001.
6.
Zdeborová, Lenka, et al.. (2024). Gibbs sampling the posterior of neural networks. Journal of Physics A Mathematical and Theoretical. 57(12). 125002–125002. 2 indexed citations
7.
Lucibello, Carlo, et al.. (2023). Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 323–328. 1 indexed citations
8.
Zdeborová, Lenka, et al.. (2023). Backtracking Dynamical Cavity Method. Physical Review X. 13(3). 4 indexed citations
9.
Loureiro, Bruno, et al.. (2023). Learning curves for the multi-class teacher–student perceptron. Machine Learning Science and Technology. 4(1). 15019–15019. 9 indexed citations
10.
Loureiro, Bruno, et al.. (2023). Error scaling laws for kernel classification under source and capacity conditions. Machine Learning Science and Technology. 4(3). 35033–35033. 3 indexed citations
11.
Loureiro, Bruno, et al.. (2023). Theoretical characterization of uncertainty in high-dimensional linear classification. Machine Learning Science and Technology. 4(2). 25029–25029. 6 indexed citations
12.
Semerjian, Guilhem, et al.. (2022). Aligning random graphs with a sub-tree similarity message-passing algorithm. Journal of Statistical Mechanics Theory and Experiment. 2022(6). 63401–63401. 9 indexed citations
13.
Huang, Guanhao, et al.. (2022). Planted XY model: Thermodynamics and inference. Physical review. E. 106(5). 54115–54115. 1 indexed citations
14.
Saglietti, Luca, et al.. (2021). Large deviations in the perceptron model and consequences for active learning. Machine Learning Science and Technology. 2(4). 45001–45001. 1 indexed citations
15.
Barbier, Jean, et al.. (2020). Blind calibration for compressed sensing: state evolution and an online algorithm. Journal of Physics A Mathematical and Theoretical. 53(33). 334004–334004.
16.
Carleo, Giuseppe, J. I. Cirac, K. Cranmer, et al.. (2019). Machine learning and the physical sciences. Reviews of Modern Physics. 91(4). 1446 indexed citations breakdown →
17.
Biroli, Giulio, et al.. (2019). Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models. IRIS Research product catalog (Sapienza University of Rome). 32. 8679–8689. 13 indexed citations
18.
Decelle, Aurélien, Florent Krząkała, Cristopher Moore, & Lenka Zdeborová. (2011). Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications. Physical Review E. 84(6). 66106–66106. 379 indexed citations breakdown →
19.
Decelle, Aurélien, Florent Krząkała, Cristopher Moore, & Lenka Zdeborová. (2011). Inference and Phase Transitions in the Detection of Modules in Sparse Networks. Physical Review Letters. 107(6). 65701–65701. 217 indexed citations
20.
Zdeborová, Lenka & Marc Mézard. (2008). Hard constraint satisfaction problems. arXiv (Cornell University).

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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