Carlos Matrán

54 papers receiving 1.1k citations

Peers

Carlos Matrán
Comparison fields: 5 of 128
  • Statistics and Probability 621
  • Artificial Intelligence 453
  • Applied Mathematics 157
  • Management Science and Operations Research 132
  • Statistics, Probability and Uncertainty 132
Replace James R. Schott with:
James R. Schott United States
Yasunori Fujikoshi Japan
Christine Thomas‐Agnan France
Pascal Sarda France
Brett Presnell United States
Lucien Birgé France
William Steiger United States
Mohsen Pourahmadi United States
Harro Walk Germany
Akimichi Takemura Japan
Carlos Matrán relative to James R. Schott United States James R. Schott's profile →
Citations per field
00.5×1.5×2.3×
James R. Schott · 1×
Citations per year

Countries citing papers authored by Carlos Matrán

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Matrán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Matrán

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Matrán. A scholar is included among the top collaborators of Carlos Matrán 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 Carlos Matrán. Carlos Matrán 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
2 11
3
Smooth Cyclically Monotone Interpolation and Empirical Center-Outward Distribution Functions
5
4 77
5 20
6
Trimming and likelihood: Robust location and dispersion estimation in the elliptical model
16
7 33
8 7
9 20
10 2
11 6
12 82
13 102
14 19
15 6
16 20
17 167
18 5
19 11
20 6

About Carlos Matrán

Carlos Matrán is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Advanced Statistical Methods and Models (19 papers) and Financial Risk and Volatility Modeling (10 papers). The work is most often cited by research in Statistics and Probability (621 citations), Statistics, Probability and Uncertainty (132 citations) and Applied Mathematics (157 citations). Carlos Matrán has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Juan A. Cuesta‐Albertos, Eustasio del Barrio, Alfonso Gordaliza, Luis Ángel García-Escudero, Agustín Mayo-Íscar, Evarist Giné, Pedro C. Álvarez-Esteban, Marc Hallin, Ricardo Fraiman and Carles M. Cuadras. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The Annals of Statistics.

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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2026