Oriol Abril

About

Oriol Abril is a scholar working on Artificial Intelligence, Statistics and Probability and Nuclear and High Energy Physics. According to data from OpenAlex, Oriol Abril has authored 5 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Nuclear and High Energy Physics. Recurrent topics in Oriol Abril’s work include Gaussian Processes and Bayesian Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Oriol Abril is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Oriol Abril collaborates with scholars based in United States, Germany and United Kingdom. Oriol Abril's co-authors include Osvaldo A. Martin, Robert Zinkov, Christopher Fonnesbeck, Junpeng Lao, Michael Osthege, Virgile Andreani, Thomas V. Wiecki, Christian C. Luhmann, Ravin Kumar and Peter K. G. Williams and has published in prestigious journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), Bayesian Analysis and PeerJ Computer Science.

In The Last Decade

Co-authorship network of co-authors of Oriol Abril i

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Fields of papers citing papers by Oriol Abril

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Oriol Abril

Since Specialization

Citations

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