Finbarr O’Sullivan

5.3k citations
105 papers · 3.7k · h-index 31

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications

Papers in

Finbarr O’Sullivan

101 papers receiving 3.5k citations

Peers

Finbarr O’Sullivan
Comparison fields: 5 of 167
  • Statistics and Probability 800
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Cancer Research 351
  • Genetics 200
  • Statistics, Probability and Uncertainty 126
Replace Ji Zhu with:
Ji Zhu China
Rafael Molina Spain
Gábor J. Székely Hungary
Donald A. Pierce United States
Eric Bair United States
Laurent Schwartz France
Harold Hudson Australia
James B. Bassingthwaighte United States
Vladimír Beneš Czechia
Charles Stein United States
Finbarr O’Sullivan relative to Ji Zhu China Ji Zhu's profile →
Citations per field
00.5×9.5×
Ji Zhu · 1×
Citations per year

Countries citing papers authored by Finbarr O’Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Finbarr O’Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Finbarr O’Sullivan, 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 Finbarr O’Sullivan Line = papers co-authored together Finbarr O’Sullivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986425
2 2004311
3 1986189
4 2008164
5 2014158
6 2002148
7 1988141
8 1990133
9
Kinetic analysis of 3'-deoxy-3'-18F-fluorothymidine in patients with gliomas.
2006105
10
Glucose metabolism in human malignant gliomas measured quantitatively with PET, 1-[C-11]glucose and FDG: analysis of the FDG lumped constant.
1998100
11
2-[C-11]thymidine imaging of malignant brain tumors.
1999100
12
The FDG lumped constant in normal human brain.
200298
13 201279
14 199368
15 198867
16 199462
17 199157
18 199955
19 200551
20 200950

About Finbarr O’Sullivan

Finbarr O’Sullivan is a scholar working on Radiology, Nuclear Medicine and Imaging, Statistics and Probability, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiation, having authored 105 papers that have together received 3.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (50 papers), Advanced MRI Techniques and Applications (25 papers), Radiomics and Machine Learning in Medical Imaging (24 papers), Statistical Methods and Inference (21 papers), MRI in cancer diagnosis (9 papers), Advanced Statistical Methods and Models (6 papers), Bayesian Methods and Mixture Models (4 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Statistics and Probability (800 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Cancer Research (351 citations), Genetics (200 citations) and Statistics, Probability and Uncertainty (126 citations). Finbarr O’Sullivan has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Mark Muzi, Janet F. Eary, Alexander M. Spence, Kenneth A. Krohn, David A. Mankoff, Ernest U. Conrad, Janet OʼSullivan, Jeanne M. Link, William J. Raynor and Brian S. Yandell. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Medical Imaging, Molecular Imaging, The Annals of Statistics and Journal of Nuclear Medicine.

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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