Julyan Arbel

1.5k total citations · 1 hit paper
26 papers, 584 citations indexed

About

Julyan Arbel is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Julyan Arbel has authored 26 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 4 papers in Finance. Recurrent topics in Julyan Arbel's work include Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (5 papers). Julyan Arbel is often cited by papers focused on Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (5 papers). Julyan Arbel collaborates with scholars based in France, Italy and Australia. Julyan Arbel's co-authors include Bjarni J. Vilhjálmsson, Florian Privé, Giovanni Poggiato, James S. Clark, Wilfried Thuiller, Tamara Münkemüller, Hugues Aschard, Kerrie Mengersen, Bogdan Paşaniuc and Antonio Lijoi and has published in prestigious journals such as Bioinformatics, Trends in Ecology & Evolution and The American Journal of Human Genetics.

In The Last Decade

Julyan Arbel

24 papers receiving 579 citations

Hit Papers

LDpred2: better, faster, stronger 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. LDpred2: better, faster, stronger
    2020 323 citations Florian Privé, Julyan Arbel et al. Bioinformatics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julyan Arbel France 9 282 95 83 75 70 26 584
Anna Heath United Kingdom 18 100 0.4× 91 1.0× 85 1.0× 124 1.7× 84 1.2× 64 787
Jan Graffelman Spain 14 334 1.2× 170 1.8× 6 0.1× 57 0.8× 30 0.4× 39 811
Luke R. Lloyd‐Jones Australia 15 903 3.2× 472 5.0× 10 0.1× 50 0.7× 51 0.7× 33 1.4k
Florian Privé Denmark 18 1.0k 3.7× 392 4.1× 9 0.1× 64 0.9× 83 1.2× 27 1.5k
Sophie Ancelet France 11 208 0.7× 39 0.4× 19 0.2× 124 1.7× 35 0.5× 17 592
Amadou Gaye United States 17 64 0.2× 94 1.0× 11 0.1× 31 0.4× 16 0.2× 68 804
Jane‐Ling Wang United States 15 91 0.3× 42 0.4× 8 0.1× 70 0.9× 284 4.1× 18 867
Lili Yu United States 9 249 0.9× 297 3.1× 23 0.3× 22 0.3× 79 1.1× 38 555
Anders Kjærsgaard Denmark 16 221 0.8× 57 0.6× 42 0.5× 152 2.0× 4 0.1× 43 629
Farouk S. Nathoo Canada 12 35 0.1× 34 0.4× 10 0.1× 28 0.4× 104 1.5× 40 379

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).

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.

Co-authorship network of co-authors of Julyan Arbel

This figure shows the co-authorship network connecting the top 25 collaborators of Julyan Arbel. A scholar is included among the top collaborators of Julyan Arbel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julyan Arbel. Julyan Arbel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arbel, Julyan, et al.. (2023). Reparameterization of extreme value framework for improved Bayesian workflow. Computational Statistics & Data Analysis. 187. 107807–107807. 4 indexed citations
2.
Arbel, Julyan, et al.. (2023). On the Use of a Local Rˆ to Improve MCMC Convergence Diagnostic. Bayesian Analysis. 20(1). 3 indexed citations
3.
Arbel, Julyan, et al.. (2023). TinyMLOps for real-time ultra-low power MCUs applied to frame-based event classification. 148–153. 2 indexed citations
4.
Privé, Florian, Clara Albiñana, Julyan Arbel, Bogdan Paşaniuc, & Bjarni J. Vilhjálmsson. (2023). Inferring disease architecture and predictive ability with LDpred2-auto. The American Journal of Human Genetics. 110(12). 2042–2055. 22 indexed citations
5.
Privé, Florian, Julyan Arbel, Hugues Aschard, & Bjarni J. Vilhjálmsson. (2022). Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scores. Human Genetics and Genomics Advances. 3(4). 100136–100136. 36 indexed citations
6.
Forbes, Florence, et al.. (2022). Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors. Statistics and Computing. 32(5). 1 indexed citations
7.
Poggiato, Giovanni, et al.. (2021). On the Interpretations of Joint Modeling in Community Ecology. Trends in Ecology & Evolution. 36(5). 391–401. 102 indexed citations
8.
Forbes, Florence, et al.. (2021). Bayesian Inverse Regression for Vascular Magnetic Resonance Fingerprinting. IEEE Transactions on Medical Imaging. 40(7). 1827–1837. 9 indexed citations
9.
Forbes, Florence, et al.. (2021). Approximate Bayesian computation with surrogate posteriors. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Poggiato, Giovanni, et al.. (2021). Clustering Species With Residual Covariance Matrix in Joint Species Distribution Models. Frontiers in Ecology and Evolution. 9. 11 indexed citations
11.
Privé, Florian, Julyan Arbel, & Bjarni J. Vilhjálmsson. (2020). LDpred2: better, faster, stronger. Bioinformatics. 36(22-23). 5424–5431. 323 indexed citations breakdown →
12.
Nguyen, Hien D., Julyan Arbel, Hongliang Lü, & Florence Forbes. (2020). Approximate Bayesian Computation Via the Energy Statistic. IEEE Access. 8. 131683–131698.
13.
Lü, Hongliang, Julyan Arbel, & Florence Forbes. (2020). Bayesian nonparametric priors for hidden Markov random fields. Statistics and Computing. 30(4). 1015–1035. 3 indexed citations
14.
Arbel, Julyan, Olivier Marchal, & Hien D. Nguyen. (2019). On strict sub-Gaussianity, optimal proxy variance and symmetry for\n bounded random variables. arXiv (Cornell University). 7 indexed citations
15.
Arbel, Julyan, et al.. (2019). Dependence properties and Bayesian inference for asymmetric multivariate copulas. Journal of Multivariate Analysis. 174. 104530–104530. 5 indexed citations
16.
Arbel, Julyan, et al.. (2016). Estimation des flux d’immigration : réconciliation de deux sources par une approche bayésienne. Economie et Statistique / Economics and Statistics. 483(1). 121–149. 2 indexed citations
17.
18.
Arbel, Julyan, Kerrie Mengersen, & Judith Rousseau. (2016). Bayesian nonparametric dependent model for partially replicated data: The influence of fuel spills on species diversity. The Annals of Applied Statistics. 10(3). 10 indexed citations
19.
Arbel, Julyan, Catherine K. King, Ben Raymond, Tristrom Winsley, & Kerrie Mengersen. (2015). Application of a Bayesian nonparametric model to derive toxicity estimates based on the response of Antarctic microbial communities to fuel‐contaminated soil. Ecology and Evolution. 5(13). 2633–2645. 8 indexed citations
20.
Arbel, Julyan, et al.. (2014). Full Bayesian inference with hazard mixture models. Computational Statistics & Data Analysis. 93. 359–372. 12 indexed citations

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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