Adrian O’Hagan

1.1k total citations
29 papers, 589 citations indexed

About

Adrian O’Hagan is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Statistics and Probability. According to data from OpenAlex, Adrian O’Hagan has authored 29 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Statistics and Probability. Recurrent topics in Adrian O’Hagan's work include Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Clustering Algorithms Research (5 papers). Adrian O’Hagan is often cited by papers focused on Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Clustering Algorithms Research (5 papers). Adrian O’Hagan collaborates with scholars based in Ireland, United States and Canada. Adrian O’Hagan's co-authors include Mohammadhossein Ghahramani, James Sweeney, Yan Qiao, Thomas Brendan Murphy, Isobel Claire Gormley, Paul C. Stillwell, Alejandro C. Arroliga, Anna P. Koo, Paul D. McNicholas and Dimitris Karlis and has published in prestigious journals such as Genetics, CHEST Journal and Sensors.

In The Last Decade

Adrian O’Hagan

28 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrian O’Hagan Ireland 11 140 102 85 73 53 29 589
Argon Chen Taiwan 16 60 0.4× 157 1.5× 16 0.2× 87 1.2× 14 0.3× 57 703
Jiheng Zhang China 16 28 0.2× 107 1.0× 56 0.7× 26 0.4× 49 0.9× 71 779
D. Dumitrescu Romania 13 260 1.9× 76 0.7× 74 0.9× 83 1.1× 4 0.1× 99 732
Tony Kam‐Thong Switzerland 6 111 0.8× 15 0.1× 19 0.2× 17 0.2× 11 0.2× 10 688
Robert M. Goldberg United States 11 177 1.3× 31 0.3× 53 0.6× 63 0.9× 8 0.2× 16 741
Ricardo J. Rodríguez Spain 18 179 1.3× 17 0.2× 182 2.1× 88 1.2× 19 0.4× 112 1.0k
Xiaoying Yang China 9 98 0.7× 11 0.1× 55 0.6× 54 0.7× 16 0.3× 22 686
Joel Sokol United States 17 73 0.5× 375 3.7× 25 0.3× 32 0.4× 2 0.0× 43 847
Srinivas India 9 91 0.7× 238 2.3× 28 0.3× 56 0.8× 27 0.5× 36 709
Murat Alper Başaran Türkiye 12 183 1.3× 30 0.3× 26 0.3× 45 0.6× 5 0.1× 40 850

Countries citing papers authored by Adrian O’Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Adrian O’Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian O’Hagan. 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 Adrian O’Hagan. The network helps show where Adrian O’Hagan may publish in the future.

Co-authorship network of co-authors of Adrian O’Hagan

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian O’Hagan. A scholar is included among the top collaborators of Adrian O’Hagan 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 Adrian O’Hagan. Adrian O’Hagan 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.
2.
O’Hagan, Adrian, et al.. (2025). A Dirichlet stochastic block model for composition-weighted networks. Computational Statistics & Data Analysis. 211. 108204–108204. 1 indexed citations
3.
4.
O’Hagan, Adrian, et al.. (2024). Impact of elexacaftor/tezacaftor/ivacaftor on respiratory colonization in an adult cystic fibrosis clinic. The American Journal of the Medical Sciences. 367(5). 337–342. 10 indexed citations
5.
Salter‐Townshend, Michael, et al.. (2023). A simulation study for multifactorial genetic disorders to quantify the impact of polygenic risk scores on critical illness insurance. European Actuarial Journal. 13(2). 775–813. 2 indexed citations
6.
Ghahramani, Mohammadhossein, Adrian O’Hagan, MengChu Zhou, & James Sweeney. (2021). Intelligent Geodemographic Clustering Based on Neural Network and Particle Swarm Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 52(6). 3746–3756. 21 indexed citations
7.
Sullivan, Janice E., et al.. (2019). Sterility and Stability Testing of Preservative-free Albuterol. The Journal of Pediatric Pharmacology and Therapeutics. 24(1). 53–57. 3 indexed citations
8.
O’Hagan, Adrian, et al.. (2018). Motor insurance claim modelling with factor collapsing and Bayesian model averaging. Stat. 7(1). 6 indexed citations
9.
O’Hagan, Adrian, et al.. (2017). Actuarial Risk Matrices: The Nearest Positive Semidefinite Matrix Problem. North American Actuarial Journal. 21(4). 552–564. 1 indexed citations
10.
Eid, Nemr, Adrian O’Hagan, Scott Bickel, et al.. (2016). Anti-inflammatory dosing of theophylline in the treatment of status asthmaticus in children. Journal of Asthma and Allergy. Volume 9. 183–189. 12 indexed citations
11.
O’Hagan, Adrian, et al.. (2016). Model-Based and Nonparametric Approaches to Clustering for Data Compression in Actuarial Applications. North American Actuarial Journal. 21(1). 107–146. 5 indexed citations
12.
O’Hagan, Adrian, et al.. (2014). Estimation of the Upper Tail Dependence Coefficient for Insurance Loss Data Using an Empirical Copula-Based Approach. Zenodo (CERN European Organization for Nuclear Research). 8(1). 19–23. 1 indexed citations
13.
O’Hagan, Adrian, Thomas Brendan Murphy, Isobel Claire Gormley, Paul D. McNicholas, & Dimitris Karlis. (2014). Clustering with the multivariate normal inverse Gaussian distribution. Computational Statistics & Data Analysis. 93. 18–30. 54 indexed citations
14.
Morton, Ronald, Adrian O’Hagan, & Nemr Eid. (2012). The Role of Small Airways in Childhood Asthma. Pediatric Allergy Immunology and Pulmonology. 25(4). 190–197. 1 indexed citations
15.
Lee, Tricia, Charles I. Woods, & Adrian O’Hagan. (2012). Broncholithiasis From Histoplasmosis in a Pediatric Patient: Case Reports and Review of Literature. Journal of the Pediatric Infectious Diseases Society. 2(1). 76–79. 4 indexed citations
16.
O’Hagan, Adrian, Thomas Brendan Murphy, & Isobel Claire Gormley. (2012). Computational aspects of fitting mixture models via the expectation–maximization algorithm. Computational Statistics & Data Analysis. 56(12). 3843–3864. 31 indexed citations
17.
Gavin, Anna, et al.. (2011). Trends in skin cancer knowledge, sun protection practices and behaviours in the Northern Ireland population. European Journal of Public Health. 22(3). 408–412. 29 indexed citations
18.
O’Hagan, Adrian, Paul C. Stillwell, Alejandro C. Arroliga, & Anna P. Koo. (1999). Photopheresis in the Treatment of Refractory Bronchiolitis Obliterans Complicating Lung Transplantation. CHEST Journal. 115(5). 1459–1462. 68 indexed citations
19.
Langer, Jacob C., Margot Skinner, Robert P. Foglia, et al.. (1999). Intestinal obstruction after lung transplantation in children with cystic fibrosis. Journal of Pediatric Surgery. 34(10). 1489–1493. 28 indexed citations
20.
O’Hagan, Adrian, Rachel E. Ellsworth, Michelle Secic, A. David Rothner, & Ben H. Brouhard. (1996). Renal Manifestatións of Tuberous Sclerosis Complex. Clinical Pediatrics. 35(10). 483–489. 38 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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