Nicolas Macris

2.0k total citations
79 papers, 925 citations indexed

About

Nicolas Macris is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Nicolas Macris has authored 79 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 20 papers in Condensed Matter Physics. Recurrent topics in Nicolas Macris's work include Error Correcting Code Techniques (26 papers), Theoretical and Computational Physics (15 papers) and Advanced Wireless Communication Techniques (14 papers). Nicolas Macris is often cited by papers focused on Error Correcting Code Techniques (26 papers), Theoretical and Computational Physics (15 papers) and Advanced Wireless Communication Techniques (14 papers). Nicolas Macris collaborates with scholars based in Switzerland, France and United States. Nicolas Macris's co-authors include Jean Barbier, Satish Babu Korada, Lenka Zdeborová, Florent Krząkała, J. V. Pulè, Léo Miolane, C. Gruber, Shrinivas Kudekar, J. K. Freericks and Rüdiger Urbanke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical review. B, Condensed matter and IEEE Transactions on Information Theory.

In The Last Decade

Nicolas Macris

77 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Macris Switzerland 17 276 271 254 209 184 79 925
Lev Shchur Russia 15 66 0.2× 122 0.5× 95 0.4× 97 0.5× 385 2.1× 86 808
Guilhem Semerjian France 17 305 1.1× 140 0.5× 307 1.2× 22 0.1× 324 1.8× 30 1.1k
Masayuki Ohzeki Japan 17 37 0.1× 486 1.8× 531 2.1× 72 0.3× 316 1.7× 87 1.1k
Shlomo Hoory Israel 13 319 1.2× 83 0.3× 313 1.2× 143 0.7× 14 0.1× 31 1.2k
Dhagash Mehta United States 18 76 0.3× 98 0.4× 81 0.3× 112 0.5× 115 0.6× 77 879
Vyacheslav L. Girko Ukraine 14 126 0.5× 55 0.2× 112 0.4× 128 0.6× 51 0.3× 88 974
Xavier Blanc France 19 93 0.3× 310 1.1× 157 0.6× 30 0.1× 121 0.7× 83 1.2k
V. A. Malyshev Russia 16 105 0.4× 84 0.3× 48 0.2× 62 0.3× 189 1.0× 83 935
Massimiliano Grazzini Switzerland 45 441 1.6× 88 0.3× 305 1.2× 290 1.4× 18 0.1× 110 6.2k
Victor Adamchik United States 16 348 1.3× 79 0.3× 43 0.2× 905 4.3× 51 0.3× 37 1.5k

Countries citing papers authored by Nicolas Macris

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Macris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Macris

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Macris. A scholar is included among the top collaborators of Nicolas Macris 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 Nicolas Macris. Nicolas Macris 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.
Barbier, Jean, et al.. (2024). Matrix Inference in Growing Rank Regimes. IEEE Transactions on Information Theory. 70(11). 8133–8163. 6 indexed citations
2.
Barbier, Jean & Nicolas Macris. (2022). Statistical limits of dictionary learning: Random matrix theory and the spectral replica method. Physical review. E. 106(2). 24136–24136. 16 indexed citations
3.
Chan, Chun Lam, et al.. (2021). Bell Diagonal and Werner State Generation: Entanglement, Non-Locality, Steering and Discord on the IBM Quantum Computer. DSpace@MIT (Massachusetts Institute of Technology). 17 indexed citations
4.
Macris, Nicolas, et al.. (2021). Rank-one matrix estimation: analytic time evolution of gradient descent dynamics. Conference on Learning Theory. 635–678. 1 indexed citations
5.
Barbier, Jean, Chun Lam Chan, & Nicolas Macris. (2019). Mutual Information for the Stochastic Block Model by the Adaptive\n Interpolation Method. arXiv (Cornell University). 2 indexed citations
6.
Barbier, Jean, Florent Krząkała, Nicolas Macris, Léo Miolane, & Lenka Zdeborová. (2017). Phase Transitions, Optimal Errors and Optimality of Message-Passing in Generalized Linear Models. 7 indexed citations
7.
Barbier, Jean, Florent Krząkała, Nicolas Macris, Léo Miolane, & Lenka Zdeborová. (2017). Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models. arXiv (Cornell University). 728–731. 4 indexed citations
8.
Barbier, Jean, et al.. (2016). Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula. Queen Mary Research Online (Queen Mary University of London). 29. 424–432. 26 indexed citations
9.
Macris, Nicolas, et al.. (2013). Displacement convexity — A useful framework for the study of spatially coupled codes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 310. 1–5. 3 indexed citations
10.
Kudekar, Shrinivas & Nicolas Macris. (2009). Decay of correlations in low density parity check codes: Low noise regime. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2654–2658. 1 indexed citations
11.
Korada, Satish Babu & Nicolas Macris. (2007). On the Capacity of a Code Division Multiple Access System. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
12.
Macris, Nicolas. (2007). Sharp Bounds on Generalized EXIT Functions. IEEE Transactions on Information Theory. 53(7). 2365–2375. 12 indexed citations
13.
Macris, Nicolas. (2005). Correlation inequalities: a useful tool in the theory of LDPC codes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 2369–2373. 5 indexed citations
14.
Macris, Nicolas, et al.. (2000). On kink states of ferromagnetic chains. Physica A Statistical Mechanics and its Applications. 279(1-4). 386–397. 2 indexed citations
15.
Dorlas, T. C., Nicolas Macris, & J. V. Pulè. (1999). CHARACTERIZATION OF THE SPECTRUM OF THE LANDAU HAMILTONIAN WITH DELTA IMPURITIES. 21 indexed citations
16.
Macris, Nicolas, A. Martín, & J. V. Pulè. (1997). Large volume asymptotics of brownian integrals and orbital magnetism. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 66(2). 147–183. 3 indexed citations
17.
Dorlas, T. C., Nicolas Macris, & J. V. Pulè. (1996). Localization in single Landau bands. Journal of Mathematical Physics. 37(4). 1574–1595. 11 indexed citations
18.
Freericks, J. K., C. Gruber, & Nicolas Macris. (1996). Phase separation in the binary-alloy problem: The one-dimensional spinless Falicov-Kimball model. Physical review. B, Condensed matter. 53(24). 16189–16196. 12 indexed citations
19.
Lebowitz, Joel L. & Nicolas Macris. (1994). Low-temperature phases of itinerant fermions interacting with classical phonons: The static Holstein model. Journal of Statistical Physics. 76(1-2). 91–123. 17 indexed citations
20.
Macris, Nicolas, et al.. (1993). Long-range order in a simple model of interacting fermions. Letters in Mathematical Physics. 28(4). 295–305. 4 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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