Daniel Fernández

About

Daniel Fernández is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Daniel Fernández has authored 51 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 7 papers in Sociology and Political Science. Recurrent topics in Daniel Fernández’s work include Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (6 papers). Daniel Fernández is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (6 papers). Daniel Fernández collaborates with scholars based in Spain, New Zealand and United States. Daniel Fernández's co-authors include Elena Montero, Joan Ribas, Vega González-Bueso, Juan José Villalaín Santamaría, Laura Merino, Ivy Liu, Richard Arnold, Susana Jiménez‐Múrcia, Miguel Nakamura and Amparo del Pino‐Gutiérrez and has published in prestigious journals such as PLoS ONE, Environmental Pollution and American Journal of Obstetrics and Gynecology.

In The Last Decade

Co-authorship network of co-authors of Daniel Fernández i

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Fields of papers citing papers by Daniel Fernández

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Fernández

Since Specialization

Citations

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