Roser Bono

70 papers and 2.1k indexed citations i.

About

Roser Bono is a scholar working on Statistics and Probability, Management Science and Operations Research and Education. According to data from OpenAlex, Roser Bono has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 13 papers in Management Science and Operations Research and 11 papers in Education. Recurrent topics in Roser Bono’s work include Statistical Methods and Bayesian Inference (13 papers), Advanced Statistical Methods and Models (12 papers) and Optimal Experimental Design Methods (11 papers). Roser Bono is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Advanced Statistical Methods and Models (12 papers) and Optimal Experimental Design Methods (11 papers). Roser Bono collaborates with scholars based in Spain, Bulgaria and United States. Roser Bono's co-authors include María J. Blanca, Jaume Arnau, Rebecca Bendayan, Rafael Alarcón, María Isabel Núñez‐Peña, Macarena Suárez‐Pellicioni, Dolores López‐Montiel, J. Pallarés, Lluı́s F. Marsal and Juana Gómez‐Benito and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Roser Bono i

Fields of papers citing papers by Roser Bono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roser Bono

Since Specialization
Citations

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