Julyan Arbel

33 papers and 610 indexed citations i.

About

Julyan Arbel is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Julyan Arbel has authored 33 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Statistics and Probability and 4 papers in Finance. Recurrent topics in Julyan Arbel’s work include Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Inference (10 papers) and Statistical Methods and Bayesian Inference (9 papers). Julyan Arbel is often cited by papers focused on Bayesian Methods and Mixture Models (19 papers), Statistical Methods and Inference (10 papers) and Statistical Methods and Bayesian Inference (9 papers). Julyan Arbel collaborates with scholars based in France, Italy and Australia. Julyan Arbel's co-authors include Florian Privé, Bjarni J. Vilhjálmsson, Igor Prünster, Robin Ryder, Christian P. Robert, Olivier Marchal, James S. Clark, Wilfried Thuiller, Tamara Münkemüller and Hien D. Nguyen and has published in prestigious journals such as Bioinformatics, Trends in Ecology & Evolution and The American Journal of Human Genetics.

In The Last Decade

Co-authorship network of co-authors of Julyan Arbel i

Fields of papers citing papers by Julyan Arbel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julyan Arbel

Since Specialization
Citations

This map shows the geographic impact of Julyan Arbel'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 Julyan Arbel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julyan Arbel 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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2025