Ola Caster

27 papers receiving 874 citations

Peers

Ola Caster
Comparison fields: 5 of 118
  • Toxicology 424
  • Geriatrics and Gerontology 26
  • Statistics and Probability 68
  • Computational Theory and Mathematics 115
  • Pharmacology 47
Replace Elliot G. Brown with:
Elliot G. Brown United Kingdom
Frantz Thiessard France
Sue Wood Australia
June Raine Netherlands
Vaishali Patadia United States
Louisa Walsh Australia
Kristina Juhlin Sweden
Jacoline C. Bouvy United Kingdom
Charles M. Gerrits United States
Linda Härmark Netherlands
Ola Caster relative to Elliot G. Brown United Kingdom Elliot G. Brown's profile →
Citations per field
00.5×1.5×2.4×
Elliot G. Brown · 1×
Citations per year

Countries citing papers authored by Ola Caster

Since Specialization
Citations

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

Fields of papers citing papers by Ola Caster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ola Caster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ola Caster Line = papers co-authored together Ola Caster links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019181
2 2020123
3 201489
4 201672
5 201964
6 200762
7 201051
8 201847
9 201433
10 201130
11 201724
12 201323
13 201822
14 201814
15 201513
16 201210
17 201510
18 20117
19 20116
20
Large-Scale Regression-Based Pattern Discovery in International Adverse Drug Reaction Surveillance
20086

About Ola Caster

Ola Caster is a scholar working on Toxicology, Computational Theory and Mathematics, Statistics and Probability, Artificial Intelligence and Economics and Econometrics, having authored 28 papers that have together received 903 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (18 papers), Computational Drug Discovery Methods (6 papers), Statistical Methods in Clinical Trials (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Imbalanced Data Classification Techniques (2 papers), Bayesian Modeling and Causal Inference (2 papers), Multiple Sclerosis Research Studies (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Toxicology (424 citations), Geriatrics and Gerontology (26 citations), Statistics and Probability (68 citations), Computational Theory and Mathematics (115 citations) and Pharmacology (47 citations). Ola Caster has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include G. Niklas Norén, Sarah Watson, Hester M. den Ruijter, Paula A. Rochon, Kristina Juhlin, I. Ralph Edwards, Yasunori Aoki, Lucie M. Gattepaille, Birgitta Grundmark and Andrew Bate. Their work appears in journals such as Drug Safety, Pharmacoepidemiology and Drug Safety, Medical Decision Making, British Journal of Clinical Pharmacology and Journal of the American Medical Informatics Association.

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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