Carolina Marchant

1.1k total citations
30 papers, 827 citations indexed

About

Carolina Marchant is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Environmental Engineering. According to data from OpenAlex, Carolina Marchant has authored 30 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 12 papers in Statistics, Probability and Uncertainty and 6 papers in Environmental Engineering. Recurrent topics in Carolina Marchant's work include Statistical Distribution Estimation and Applications (14 papers), Advanced Statistical Methods and Models (9 papers) and Probabilistic and Robust Engineering Design (6 papers). Carolina Marchant is often cited by papers focused on Statistical Distribution Estimation and Applications (14 papers), Advanced Statistical Methods and Models (9 papers) and Probabilistic and Robust Engineering Design (6 papers). Carolina Marchant collaborates with scholars based in Chile, Brazil and United States. Carolina Marchant's co-authors include Víctor Leiva, Helton Saulo, Francisco José A. Cysneiros, Fernando Rojas, Muhammad Aslam, Karine Bertin, Fabrizio Ruggeri, Shuangzhe Liu, Flávio Augusto Ziegelmann and Jeremias Leão and has published in prestigious journals such as Computational Statistics & Data Analysis, IEEE Transactions on Reliability and Acta Tropica.

In The Last Decade

Carolina Marchant

30 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina Marchant Chile 16 531 282 125 104 95 30 827
Francisco José A. Cysneiros Brazil 21 687 1.3× 148 0.5× 239 1.9× 58 0.6× 115 1.2× 61 1.1k
Helton Saulo Brazil 19 715 1.3× 307 1.1× 158 1.3× 63 0.6× 110 1.2× 82 987
Michelli Barros Brazil 12 563 1.1× 201 0.7× 127 1.0× 37 0.4× 74 0.8× 20 674
Faridoon Khan Pakistan 14 129 0.2× 88 0.3× 32 0.3× 28 0.3× 87 0.9× 33 468
Manuel Escabias Spain 13 280 0.5× 84 0.3× 83 0.7× 48 0.5× 46 0.5× 33 679
Balgobin Nandram United States 14 366 0.7× 41 0.1× 165 1.3× 29 0.3× 72 0.8× 84 766
María Virtudes Alba Fernández Spain 13 274 0.5× 85 0.3× 102 0.8× 39 0.4× 15 0.2× 48 494
Heri Kuswanto Indonesia 15 88 0.2× 67 0.2× 124 1.0× 59 0.6× 50 0.5× 127 721
Thomas S. Shively United States 17 264 0.5× 51 0.2× 114 0.9× 50 0.5× 97 1.0× 34 736
Ismail Shah Pakistan 15 212 0.4× 193 0.7× 98 0.8× 41 0.4× 245 2.6× 75 872

Countries citing papers authored by Carolina Marchant

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Marchant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Marchant

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Marchant. A scholar is included among the top collaborators of Carolina Marchant 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 Carolina Marchant. Carolina Marchant 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.
Gallardo, Diego I., et al.. (2023). An In-Depth Review of the Weibull Model with a Focus on Various Parameterizations. Mathematics. 12(1). 56–56. 18 indexed citations
2.
Marchant, Carolina, et al.. (2023). Modeling Environmental Pollution Using Varying-Coefficients Quantile Regression Models under Log-Symmetric Distributions. Axioms. 12(10). 976–976. 1 indexed citations
3.
Marchant, Carolina, et al.. (2023). A description of the epidemiological dynamics of Chagas disease via mathematical modeling. Acta Tropica. 243. 106930–106930. 1 indexed citations
4.
Saulo, Helton, et al.. (2023). Modeling Income Data via New Parametric Quantile Regressions: Formulation, Computational Statistics, and Application. Mathematics. 11(2). 448–448. 6 indexed citations
5.
Leiva, Víctor, et al.. (2022). Bootstrap control charts for quantiles based on log‐symmetric distributions with applications to the monitoring of reliability data. Quality and Reliability Engineering International. 39(1). 1–24. 8 indexed citations
6.
Leiva, Víctor, et al.. (2021). A New Quantile Regression Model and Its Diagnostic Analytics for a Weibull Distributed Response with Applications. Mathematics. 9(21). 2768–2768. 13 indexed citations
8.
Leiva, Víctor, et al.. (2020). [Invited tutorial] Birnbaum–Saunders regression models: a comparative evaluation of three approaches. Journal of Statistical Computation and Simulation. 90(14). 2552–2570. 11 indexed citations
9.
Cysneiros, Francisco José A., et al.. (2019). A Cobb–Douglas type model with stochastic restrictions: formulation, local influence diagnostics and data analytics in economics. Quality & Quantity. 53(4). 1693–1719. 12 indexed citations
10.
Leiva, Víctor, Robert G. Aykroyd, & Carolina Marchant. (2018). Discussion of “Birnbaum‐Saunders distribution: A review of models, analysis, and applications” and a novel multivariate data analytics for an economics example in the textile industry. Applied Stochastic Models in Business and Industry. 35(1). 112–117. 7 indexed citations
11.
Aykroyd, Robert G., Víctor Leiva, & Carolina Marchant. (2018). Multivariate Birnbaum-Saunders Distributions: Modelling and Applications. Risks. 6(1). 21–21. 19 indexed citations
12.
Marchant, Carolina, et al.. (2018). Monitoring urban environmental pollution by bivariate control charts: New methodology and case study in Santiago, Chile. Environmetrics. 30(5). 30 indexed citations
13.
Marchant, Carolina, Víctor Leiva, Francisco José A. Cysneiros, & Juan F. Vivanco. (2016). Diagnostics in multivariate generalized Birnbaum-Saunders regression models. Journal of Applied Statistics. 43(15). 2829–2849. 49 indexed citations
14.
Leiva, Víctor, Carolina Marchant, Fabrizio Ruggeri, & Helton Saulo. (2015). A criterion for environmental assessment using Birnbaum–Saunders attribute control charts. Environmetrics. 26(7). 463–476. 50 indexed citations
15.
Rojas, Fernando, Víctor Leiva, Peter Wänke, & Carolina Marchant. (2015). Optimization of Contribution Margins in Food Services by Modeling Independent Component Demand. Revista Colombiana de Estadística. 38(1). 1–30. 24 indexed citations
16.
Leiva, Víctor, Carolina Marchant, Helton Saulo, Muhammad Aslam, & Fernando Rojas. (2014). Capability indices for Birnbaum–Saunders processes applied to electronic and food industries. Journal of Applied Statistics. 41(9). 1881–1902. 81 indexed citations
17.
Saulo, Helton, Víctor Leiva, Flávio Augusto Ziegelmann, & Carolina Marchant. (2013). A nonparametric method for estimating asymmetric densities based on skewed Birnbaum–Saunders distributions applied to environmental data. Stochastic Environmental Research and Risk Assessment. 27(6). 1479–1491. 55 indexed citations
18.
Leiva, Víctor, et al.. (2012). Fatigue Statistical Distributions Useful for Modeling Diameter and Mortality of Trees. Revista Colombiana de Estadística. 35(3). 349–370. 19 indexed citations
19.
Marchant, Carolina, et al.. (2012). Air Contaminant Statistical Distributions with Application to PM10 in Santiago, Chile. Reviews of Environmental Contamination and Toxicology. 223. 1–31. 43 indexed citations
20.
Leiva, Víctor, et al.. (2011). Modeling wind energy flux by a Birnbaum–Saunders distribution with an unknown shift parameter. Journal of Applied Statistics. 38(12). 2819–2838. 49 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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