Julyan Arbel

1.5k citations
26 papers · 584 indexed · 1 hit paper · h-index 9
Topics
Bayesian Methods and Mixture Models (11 papers)Statistical Methods and Inference (8 papers)Statistical Methods and Bayesian Inference (5 papers)
Partner nations
FranceItalyAustralia

In The Last Decade

Julyan Arbel

24 papers receiving 579 citations

Hit Papers

LDpred2: better, faster, stronger20202026202220242020100200300

Peers

Julyan Arbel
Comparison fields: 5 of 108
  • Genetics 282
  • Molecular Biology 95
  • Ecological Modeling 83
  • Ecology 75
  • Statistics and Probability 70
Replace Anna Heath with:
Anna Heath United Kingdom
Luke R. Lloyd‐Jones Australia
Florian Privé Denmark
Jan Graffelman Spain
Amadou Gaye United States
Yongtao Guan United States
Jane‐Ling Wang United States
Farouk S. Nathoo Canada
Lawrence J. Brunner Canada
Shiquan Ren United States
Julyan Arbel relative to Anna Heath United Kingdom Anna Heath's profile →
Citations per field
00.5×2.8×
Anna Heath · 1×
Citations per year

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
#WorkIndexed citations
1 4
2 3
3 2
4 22
5 36
6 1
7 102
8 9
9 1
10 11
11
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323
12 0
13 3
14 7
15 5
16 2
17 2
18 10
19 8
20 12

About Julyan Arbel

Julyan Arbel is a scholar working on Statistics and Probability, Ecological Modeling and Artificial Intelligence, having authored 26 papers that have together received 584 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Ecological Modeling (83 citations), Genetics (282 citations) and Statistics and Probability (70 citations). Julyan Arbel has collaborated with scholars based in France, Italy and Australia. Frequent 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. Their work appears in journals such as Bioinformatics, Trends in Ecology & Evolution and The American Journal of Human Genetics.

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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