M. D. Ugarte
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference 25
- Statistical Methods and Inference 23
- Modeling and Simulation top 2%
- Economics and Econometrics top 2%
- Spatial and Panel Data Analysis 33
- Environmental Engineering top 5%
- Health top 10%
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- Data-Driven Disease Surveillance 21
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- Bayesian Methods and Mixture Models 13
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- Colorectal Cancer Screening and Detection 12
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- Insurance, Mortality, Demography, Risk Management 12
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- Seed Germination and Physiology 10
- Co-authors
- Ana F. MilitinoT. GoicoaAritz AdínJaione EtxeberriaC. B. DeanItziar A. MontalbánBerta IbáñezMehdi Moradi
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Remote Sensing of Environment (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
M. D. Ugarte
122 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 192
- Statistics and Probability 475
- Modeling and Simulation 106
- Economics and Econometrics 632
- Environmental Engineering 242
- Health 106
Countries citing papers authored by M. D. Ugarte
This map shows the geographic impact of M. D. Ugarte'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 M. D. Ugarte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. D. Ugarte more than expected).
Fields of papers citing papers by M. D. Ugarte
This network shows the impact of papers produced by M. D. Ugarte. 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 M. D. Ugarte. The network helps show where M. D. Ugarte may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. D. Ugarte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 30 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2011 | 20 | |
| 16 | Estimating unemployment in very small areas | 2009 | 6 |
| 17 | 2007 | 11 | |
| 18 | 2005 | 2 | |
| 19 | Desarrollo y validación de un Cuestionario de Metas para Adolescentes | 2003 | 14 |
| 20 | 2001 | 28 |
About M. D. Ugarte
M. D. Ugarte is a scholar working on Statistics and Probability, Economics and Econometrics and Demography, having authored 126 papers that have together received 2.3k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (33 papers), Statistical Methods and Bayesian Inference (25 papers), Statistical Methods and Inference (23 papers), Data-Driven Disease Surveillance (21 papers), Bayesian Methods and Mixture Models (13 papers), Colorectal Cancer Screening and Detection (12 papers), Insurance, Mortality, Demography, Risk Management (12 papers) and Seed Germination and Physiology (10 papers). The work is most often cited by research in Statistics and Probability (475 citations), Modeling and Simulation (106 citations) and Economics and Econometrics (632 citations). M. D. Ugarte has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ana F. Militino, T. Goicoa, Aritz Adín, Jaione Etxeberria, C. B. Dean, Itziar A. Montalbán, Berta Ibáñez, Mehdi Moradi, Paloma Moncaleán and María Luisa Sanz de Acedo Lizárraga. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.
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.