Carolina Marchant
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 1%
- Artificial Intelligence top 10%
- Environmental Engineering top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Víctor LeivaHelton SauloFrancisco José A. CysneirosFernando RojasMuhammad AslamShuangzhe LiuFabrizio RuggeriKarine Bertin
- Topics
- Statistical Distribution Estimation and Applications (14 papers)Advanced Statistical Methods and Models (9 papers)Probabilistic and Robust Engineering Design (6 papers)
- Partner nations
- ChileBrazilUnited States
In The Last Decade
Carolina Marchant
30 papers receiving 808 citations
Peers
Comparison fields: 5 of 89
- Statistics and Probability 531
- Statistics, Probability and Uncertainty 282
- Artificial Intelligence 125
- Environmental Engineering 104
- Management Science and Operations Research 95
Countries citing papers authored by Carolina Marchant
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 83 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 30 | |
| 12 | 50 | |
| 13 | 49 | |
| 14 | 50 | |
| 15 | 81 | |
| 16 | 49 | |
| 17 | 55 | |
| 18 | Fatigue Statistical Distributions Useful for Modeling Diameter and Mortality of Trees | 19 |
| 19 | 43 | |
| 20 | 49 |
About Carolina Marchant
Carolina Marchant is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 30 papers that have together received 827 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (14 papers), Advanced Statistical Methods and Models (9 papers) and Probabilistic and Robust Engineering Design (6 papers). The work is most often cited by research in Statistics and Probability (531 citations), Statistics, Probability and Uncertainty (282 citations) and Finance (89 citations). Carolina Marchant has collaborated with scholars based in Chile, Brazil and United States. Frequent co-authors include Víctor Leiva, Helton Saulo, Francisco José A. Cysneiros, Fernando Rojas, Muhammad Aslam, Shuangzhe Liu, Fabrizio Ruggeri, Karine Bertin, Flávio Augusto Ziegelmann and Juan F. Vivanco. Their work appears in journals such as Computational Statistics & Data Analysis, IEEE Transactions on Reliability and Acta Tropica.
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.