Roberto Mulet

1.1k total citations
64 papers, 640 citations indexed

About

Roberto Mulet is a scholar working on Condensed Matter Physics, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Roberto Mulet has authored 64 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Condensed Matter Physics, 16 papers in Molecular Biology and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Roberto Mulet's work include Theoretical and Computational Physics (26 papers), Physics of Superconductivity and Magnetism (11 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Roberto Mulet is often cited by papers focused on Theoretical and Computational Physics (26 papers), Physics of Superconductivity and Magnetism (11 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Roberto Mulet collaborates with scholars based in Cuba, Italy and Germany. Roberto Mulet's co-authors include Andrea Pagnani, Riccardo Zecchina, Martin Weigt, Orencio Durán, Jorge Fernández-de-Cossio-Díaz, Alfredo Braunstein, Andreas Buchleitner, Mattia Walschaers, Giorgio Parisi and E. Altshuler 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

Roberto Mulet

59 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Mulet Cuba 14 178 149 121 115 93 64 640
P.‐M. Binder United States 15 162 0.9× 195 1.3× 99 0.8× 69 0.6× 61 0.7× 81 581
Hildegard Meyer‐Ortmanns Germany 15 211 1.2× 395 2.7× 71 0.6× 92 0.8× 202 2.2× 81 992
Subinay Dasgupta India 12 99 0.6× 383 2.6× 55 0.5× 220 1.9× 46 0.5× 43 859
Kwok Yip Szeto Hong Kong 15 199 1.1× 125 0.8× 36 0.3× 133 1.2× 24 0.3× 90 642
Isaac Pérez Castillo United Kingdom 18 287 1.6× 380 2.6× 93 0.8× 297 2.6× 33 0.4× 57 930
Lev Shchur Russia 15 385 2.2× 275 1.8× 27 0.2× 122 1.1× 66 0.7× 86 808
Doochul Kim South Korea 13 305 1.7× 249 1.7× 87 0.7× 136 1.2× 37 0.4× 28 807
P.M.C. de Oliveira Brazil 16 435 2.4× 302 2.0× 59 0.5× 151 1.3× 27 0.3× 63 749
Davide Cassi Italy 22 424 2.4× 748 5.0× 264 2.2× 286 2.5× 187 2.0× 109 1.5k

Countries citing papers authored by Roberto Mulet

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Mulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Mulet

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Mulet. A scholar is included among the top collaborators of Roberto Mulet 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 Roberto Mulet. Roberto Mulet 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.
Mulet, Roberto, et al.. (2025). Local equations describe unreasonably efficient stochastic algorithms in random K-SAT. Proceedings of the National Academy of Sciences. 122(49). e2510153122–e2510153122.
2.
3.
Aurell, Erik, et al.. (2023). A closure for the master equation starting from the dynamic cavity method. Journal of Physics A Mathematical and Theoretical. 56(17). 17LT02–17LT02. 1 indexed citations
4.
Mulet, Roberto, et al.. (2022). Ancestral sequence reconstruction for co-evolutionary models. Journal of Statistical Mechanics Theory and Experiment. 2022(1). 13502–13502. 1 indexed citations
5.
Fernández-de-Cossio-Díaz, Jorge, et al.. (2022). Inference of metabolic fluxes in nutrient-limited continuous cultures: A Maximum Entropy approach with the minimum information. iScience. 25(12). 105450–105450. 4 indexed citations
6.
Fernández-de-Cossio-Díaz, Jorge, et al.. (2021). In‐silico media optimization for continuous cultures using genome scale metabolic networks: The case of CHO‐K1. Biotechnology and Bioengineering. 118(5). 1884–1897. 16 indexed citations
7.
8.
Mulet, Roberto, et al.. (2020). The cavity master equation: average and fixed point of the ferromagnetic model in random graphs. Journal of Statistical Mechanics Theory and Experiment. 2020(7). 73304–73304. 4 indexed citations
9.
Fernández-de-Cossio-Díaz, Jorge & Roberto Mulet. (2019). Maximum entropy and population heterogeneity in continuous cell cultures. PLoS Computational Biology. 15(2). e1006823–e1006823. 12 indexed citations
10.
Aurell, Erik, et al.. (2019). Theory of Nonequilibrium Local Search on Random Satisfaction Problems. Physical Review Letters. 123(23). 230602–230602. 6 indexed citations
11.
Mulet, Roberto, et al.. (2018). Photodynamic therapy: Toward a systemic computational model. Journal of Photochemistry and Photobiology B Biology. 189. 201–213. 7 indexed citations
12.
Aurell, Erik, et al.. (2018). Exploring the diluted ferromagneticp-spin model with a cavity master equation. Physical review. E. 97(5). 50103–50103. 7 indexed citations
13.
Fernández-de-Cossio-Díaz, Jorge, Kalet León, & Roberto Mulet. (2017). Characterizing steady states of genome-scale metabolic networks in continuous cell cultures. PLoS Computational Biology. 13(11). e1005835–e1005835. 19 indexed citations
14.
Mulet, Roberto, et al.. (2017). In silico modelling of apoptosis induced by photodynamic therapy. Journal of Theoretical Biology. 436. 8–17. 5 indexed citations
15.
Walschaers, Mattia, Roberto Mulet, Thomas Wellens, & Andreas Buchleitner. (2015). Statistical theory of designed quantum transport across disordered networks. Physical Review E. 91(4). 42137–42137. 8 indexed citations
16.
Mulet, Roberto, et al.. (2014). Message passing and Monte Carlo algorithms: Connecting fixed points with metastable states. Europhysics Letters (EPL). 107(5). 57011–57011. 5 indexed citations
17.
Walschaers, Mattia, Jorge Fernández-de-Cossio-Díaz, Roberto Mulet, & Andreas Buchleitner. (2013). Optimally Designed Quantum Transport across Disordered Networks. Physical Review Letters. 111(18). 180601–180601. 42 indexed citations
18.
Mulet, Roberto, et al.. (2011). Inference algorithm for finite-dimensional spin glasses: Belief propagation on the dual lattice. Physical Review E. 84(4). 46706–46706. 6 indexed citations
19.
Braunstein, Alfredo, Roberto Mulet, & Andrea Pagnani. (2008). Estimating the size of the solution space of metabolic networks. BMC Bioinformatics. 9(1). 240–240. 27 indexed citations
20.
Franz, Silvio, Vivien Lecomte, & Roberto Mulet. (2003). Quasiequilibrium during aging of the two-dimensional Edwards-Anderson model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 66128–66128. 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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