L. Santamaría
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Sociology and Political Science
- General Agricultural and Biological Sciences top 5%
- Co-authors
- Domingo MoralesIsabel MolinaWenceslao González–ManteigaMaría José LombardíaAgustín PérezMaría Dolores EstebanLaureano F. EscuderoStefano Marchetti
- Topics
- Statistical Methods and Bayesian Inference (4 papers)Agricultural Economics and Policy (4 papers)Spatial and Panel Data Analysis (3 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchGeneral Agricultural and Biological Sciences
- Journals
- Computational Statistics & Data AnalysisJournal of Statistical Computation and SimulationStatistical Modelling
- Partner nations
- Spain
In The Last Decade
L. Santamaría
9 papers receiving 311 citations
Peers
Comparison fields: 5 of 48
- Economics and Econometrics 193
- Management Science and Operations Research 149
- Statistics and Probability 111
- Sociology and Political Science 73
- General Agricultural and Biological Sciences 71
Countries citing papers authored by L. Santamaría
This map shows the geographic impact of L. Santamaría'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 L. Santamaría with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Santamaría more than expected).
Fields of papers citing papers by L. Santamaría
This network shows the impact of papers produced by L. Santamaría. 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 L. Santamaría. The network helps show where L. Santamaría may publish in the future.
Co-authorship network of co-authors of L. Santamaría
This figure shows the co-authorship network connecting the top 25 collaborators of L. Santamaría. A scholar is included among the top collaborators of L. Santamaría 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 L. Santamaría. L. Santamaría 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 | 4 | |
| 3 | 63 | |
| 4 | Software on Small Area Estimation | 2 |
| 5 | 27 | |
| 6 | Estimadores de áreas pequeñas basados en modelos para la Encuesta de Población Activa( | 1 |
| 7 | 100 | |
| 8 | 2 | |
| 9 | 63 | |
| 10 | 81 |
About L. Santamaría
L. Santamaría is a scholar working on Statistics and Probability, General Agricultural and Biological Sciences and Management Science and Operations Research, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Agricultural Economics and Policy (4 papers) and Spatial and Panel Data Analysis (3 papers). The work is most often cited by research in Statistics and Probability (111 citations), Management Science and Operations Research (149 citations) and General Agricultural and Biological Sciences (71 citations). L. Santamaría has collaborated with scholars based in Spain. Frequent co-authors include Domingo Morales, Isabel Molina, Wenceslao González–Manteiga, María José Lombardía, Agustín Pérez, María Dolores Esteban, Laureano F. Escudero, Stefano Marchetti, Yolanda Marhuenda García and Monica Pratesi. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Statistical Computation and Simulation and Statistical Modelling.
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.