Isabel Molina

41 papers and 1.0k indexed citations i.

About

Isabel Molina is a scholar working on Statistics and Probability, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Isabel Molina has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 18 papers in Economics and Econometrics and 16 papers in Sociology and Political Science. Recurrent topics in Isabel Molina’s work include Statistical Methods and Bayesian Inference (15 papers), Income, Poverty, and Inequality (14 papers) and Spatial and Panel Data Analysis (14 papers). Isabel Molina is often cited by papers focused on Statistical Methods and Bayesian Inference (15 papers), Income, Poverty, and Inequality (14 papers) and Spatial and Panel Data Analysis (14 papers). Isabel Molina collaborates with scholars based in Spain, Canada and United States. Isabel Molina's co-authors include J. N. K. Rao, Domingo Morales, Yolanda Marhuenda García, María José Lombardía, Wenceslao González‐Manteiga, L. Santamaría, Balgobin Nandram, Ayoub Saei, Monica Pratesi and Nicola Salvati and has published in prestigious journals such as The Annals of Statistics, Journal of the Royal Statistical Society Series A (Statistics in Society) and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Isabel Molina i

Fields of papers citing papers by Isabel Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Isabel Molina

Since Specialization
Citations

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

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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