Guillermo Martínez‐Flórez
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 2%
- Artificial Intelligence top 10%
- Global and Planetary Change
- Finance
- Co-authors
- Heleno BolfarineHéctor W. GómezArtur J. LemonteFernando Marmolejo‐RamosDetlef WegenerFernanda De BastianiBarry C. ArnoldCarolina Marchant
- Topics
- Statistical Distribution Estimation and Applications (58 papers)Statistical Methods and Bayesian Inference (23 papers)Probabilistic and Robust Engineering Design (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaSymmetryJournal of Statistical Planning and Inference
In The Last Decade
Guillermo Martínez‐Flórez
57 papers receiving 303 citations
Peers
Comparison fields: 5 of 55
- Statistics and Probability 274
- Statistics, Probability and Uncertainty 122
- Artificial Intelligence 93
- Global and Planetary Change 34
- Finance 33
Countries citing papers authored by Guillermo Martínez‐Flórez
This map shows the geographic impact of Guillermo Martínez‐Flórez'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 Guillermo Martínez‐Flórez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Martínez‐Flórez more than expected).
Fields of papers citing papers by Guillermo Martínez‐Flórez
This network shows the impact of papers produced by Guillermo Martínez‐Flórez. 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 Guillermo Martínez‐Flórez. The network helps show where Guillermo Martínez‐Flórez may publish in the future.
Co-authorship network of co-authors of Guillermo Martínez‐Flórez
This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Martínez‐Flórez. A scholar is included among the top collaborators of Guillermo Martínez‐Flórez 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 Guillermo Martínez‐Flórez. Guillermo Martínez‐Flórez 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 2 | |
| 20 | Censored Bimodal Symmetric-Asymmetric Alpha-Power Model | 1 |
About Guillermo Martínez‐Flórez
Guillermo Martínez‐Flórez is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 61 papers that have together received 308 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (58 papers), Statistical Methods and Bayesian Inference (23 papers) and Probabilistic and Robust Engineering Design (20 papers). The work is most often cited by research in Statistics and Probability (274 citations), Statistics, Probability and Uncertainty (122 citations) and Finance (33 citations). Guillermo Martínez‐Flórez has collaborated with scholars based in Colombia, Chile and Brazil. Frequent co-authors include Heleno Bolfarine, Héctor W. Gómez, Artur J. Lemonte, Fernando Marmolejo‐Ramos, Detlef Wegener, Fernanda De Bastiani, Barry C. Arnold, Carolina Marchant, Thomas Kneib and Emilio Gómez–Déniz. Their work appears in journals such as SHILAP Revista de lepidopterología, Symmetry and Journal of Statistical Planning and Inference.
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.