Mateo Wirth

1.5k total citations
3 papers, 12 citations indexed

About

Mateo Wirth is a scholar working on Mathematical Physics, Condensed Matter Physics and Signal Processing. According to data from OpenAlex, Mateo Wirth has authored 3 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Mathematical Physics, 2 papers in Condensed Matter Physics and 1 paper in Signal Processing. Recurrent topics in Mateo Wirth's work include Stochastic processes and statistical mechanics (3 papers), Theoretical and Computational Physics (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Mateo Wirth is often cited by papers focused on Stochastic processes and statistical mechanics (3 papers), Theoretical and Computational Physics (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Mateo Wirth collaborates with scholars based in United States and China. Mateo Wirth's co-authors include Jian Ding, Jian Ding and Hao Wu and has published in prestigious journals such as The Annals of Probability, Duke Mathematical Journal and Annales de l Institut Henri Poincaré Probabilités et Statistiques.

In The Last Decade

Mateo Wirth

3 papers receiving 11 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mateo Wirth United States	2	12	8	7	3	2	3	12
E. Endress Spain	3	2 0.2×	3 0.4×	1 0.1×			4	13
A. Grecu Romania	3	5 0.4×					5	12
L. Lamberti Italy	2	3 0.3×	1 0.1×			3 1.5×	5	8
Guanhua Gao China	2		6 0.8×				4	18
L.P. Ferreyro Argentina	2		4 0.5×				4	6
Alan Fuster Argentina	2		3 0.4×				3	5
M. Y. Liu United Kingdom	2		3 0.4×				5	9
A. Kreutz Brazil	2	2 0.2×					2	7
S. Das India	1		2 0.3×				4	6
L E Batchelor Germany	2		2 0.3×				3	7

Countries citing papers authored by Mateo Wirth

Since Specialization

Citations

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

Fields of papers citing papers by Mateo Wirth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateo Wirth

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

All Works

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3 of 3 papers shown

1.

Ding, Jian & Mateo Wirth. (2023). Correlation length of the two-dimensional random field Ising model via greedy lattice animal. Duke Mathematical Journal. 172(9). 1 indexed citations

2.

Ding, Jian, Mateo Wirth, & Hao Wu. (2022). Crossing estimates from metric graph and discrete GFF. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 58(3). 1 indexed citations

3.

Ding, Jian & Mateo Wirth. (2020). Percolation for level-sets of Gaussian free fields on metric graphs. The Annals of Probability. 48(3). 10 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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