Florent Krząkała

110 papers receiving 3.9k citations

Hit Papers

Asymptotic analysis of the stochastic block model for mod...201120262016202120112013100200300

Peers

Florent Krząkała
Comparison fields: 5 of 125
  • Statistical and Nonlinear Physics 1.4k
  • Artificial Intelligence 1.4k
  • Condensed Matter Physics 993
  • Computer Networks and Communications 580
  • Statistics and Probability 576
Replace Lenka Zdeborová with:
Lenka Zdeborová France
Hidetoshi Nishimori Japan
Federico Ricci‐Tersenghi Italy
L. А. Pastur Ukraine
Gérard Ben Arous United States
Michael M. Wolf Germany
Thomas Guhr Germany
Andreas Winter Germany
Yuval Peres United States
Helmut G. Katzgraber United States
Florent Krząkała relative to Lenka Zdeborová France Lenka Zdeborová's profile →
Citations per field
00.5×1.6×
Lenka Zdeborová · 1×
Citations per year

Countries citing papers authored by Florent Krząkała

Since Specialization
Citations

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

Fields of papers citing papers by Florent Krząkała

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florent Krząkała

This figure shows the co-authorship network connecting the top 25 collaborators of Florent Krząkała. A scholar is included among the top collaborators of Florent Krząkała 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 Florent Krząkała. Florent Krząkała 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
#WorkIndexed citations
1 0
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Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices.
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8 0
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Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models
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10 41
11 7
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1Quantum Annealing of Hard Problems
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Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system.
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14 10
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Compressed sensing and Approximate Message Passing with spatially-coupled Fourier and Hadamard matrices.
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16 217
17 109
18 41
19 96
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Large-scale low-energy excitations in 3-d spin glasses - Replica symmetry breaking and characterization in position space
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About Florent Krząkała

Florent Krząkała is a scholar working on Acoustics and Ultrasonics, Condensed Matter Physics and Statistics and Probability, having authored 114 papers that have together received 4.0k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (34 papers), Sparse and Compressive Sensing Techniques (26 papers) and Blind Source Separation Techniques (20 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Condensed Matter Physics (993 citations) and Computational Mathematics (49 citations). Florent Krząkała has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include Lenka Zdeborová, Cristopher Moore, Aurélien Decelle, Jorge Kurchan, Olivier Martin, Jean Barbier, Guilhem Semerjian, Federico Ricci‐Tersenghi, Thomas Jörg and Pan Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

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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