Finbarr O’Sullivan

5.2k total citations
105 papers, 3.7k citations indexed

About

Finbarr O’Sullivan is a scholar working on Radiology, Nuclear Medicine and Imaging, Statistics and Probability and Genetics. According to data from OpenAlex, Finbarr O’Sullivan has authored 105 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Statistics and Probability and 11 papers in Genetics. Recurrent topics in Finbarr O’Sullivan's work include Medical Imaging Techniques and Applications (58 papers), Advanced MRI Techniques and Applications (27 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Finbarr O’Sullivan is often cited by papers focused on Medical Imaging Techniques and Applications (58 papers), Advanced MRI Techniques and Applications (27 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Finbarr O’Sullivan collaborates with scholars based in United States, Ireland and United Kingdom. Finbarr O’Sullivan's 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, Brian S. Yandell and William J. Raynor and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Finbarr O’Sullivan

100 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Finbarr O’Sullivan United States 31 1.5k 800 440 411 367 105 3.7k
Ji Zhu China 37 647 0.4× 663 0.8× 807 1.8× 376 0.9× 933 2.5× 183 5.8k
Hans G. Feichtinger Austria 45 518 0.3× 129 0.2× 367 0.8× 327 0.8× 144 0.4× 256 8.4k
Shai Fine United States 33 1.7k 1.1× 56 0.1× 460 1.0× 255 0.6× 800 2.2× 100 6.7k
Brandon Whitcher United Kingdom 34 2.2k 1.5× 83 0.1× 207 0.5× 66 0.2× 253 0.7× 103 6.8k
Mattias Ohlsson Sweden 31 632 0.4× 37 0.0× 406 0.9× 184 0.4× 428 1.2× 152 2.9k
Torsten Mattfeldt Germany 34 1.1k 0.7× 43 0.1× 737 1.7× 678 1.6× 152 0.4× 130 4.4k
Alexander Cloninger United States 9 432 0.3× 134 0.2× 183 0.4× 109 0.3× 529 1.4× 32 1.3k
Jing Wang China 42 4.6k 3.1× 196 0.2× 941 2.1× 63 0.2× 668 1.8× 392 7.1k
Rafael Molina Spain 47 819 0.5× 137 0.2× 1.0k 2.3× 604 1.5× 757 2.1× 340 8.7k
Yongxin Chen China 39 133 0.1× 181 0.2× 146 0.3× 831 2.0× 329 0.9× 273 5.1k

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-authorship network of co-authors of Finbarr O’Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Finbarr O’Sullivan. A scholar is included among the top collaborators of Finbarr O’Sullivan 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 Finbarr O’Sullivan. Finbarr O’Sullivan 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
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O’Sullivan, Finbarr, et al.. (2021). A Generalized Linear modeling approach to bootstrapping multi-frame PET image data. Medical Image Analysis. 72. 102132–102132. 4 indexed citations
4.
5.
Wolsztynski, Eric, Janet OʼSullivan, Nicola Hughes, et al.. (2019). Combining Structural and Textural Assessments of Volumetric FDG-PET Uptake in NSCLC. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(4). 421–433. 4 indexed citations
6.
Muzi, Mark, Lanell M. Peterson, Hannah M. Linden, et al.. (2015). Effect of 18F-FDG Uptake Time on Lesion Detectability in PET Imaging of Early-Stage Breast Cancer. Tomography. 1(1). 53–60. 1 indexed citations
7.
Deo, Anand K., Soo Borson, Jeanne M. Link, et al.. (2014). Activity of P-Glycoprotein, a β-Amyloid Transporter at the Blood–Brain Barrier, Is Compromised in Patients with Mild Alzheimer Disease. Journal of Nuclear Medicine. 55(7). 1106–1111. 155 indexed citations
8.
Eary, Janet F., Ernest U. Conrad, Janet OʼSullivan, et al.. (2014). Sarcoma Mid-Therapy [F-18]Fluorodeoxyglucose Positron Emission Tomography (FDG PET) and Patient Outcome. Journal of Bone and Joint Surgery. 96(2). 152–158. 27 indexed citations
9.
Muzi, Mark, Finbarr O’Sullivan, David A. Mankoff, et al.. (2012). Quantitative assessment of dynamic PET imaging data in cancer imaging. Magnetic Resonance Imaging. 30(9). 1203–1215. 77 indexed citations
10.
Eyal, Sara, Mark Muzi, J. M. Link, et al.. (2009). Positron emission tomography imaging of tissue P‐glycoprotein activity during pregnancy in the non‐human primate. British Journal of Pharmacology. 159(2). 394–404. 26 indexed citations
11.
O’Sullivan, Finbarr, Mark Muzi, Janet OʼSullivan, et al.. (2009). Kinetic Quantitation of Cerebral PET-FDG Studies Without Concurrent Blood Sampling: Statistical Recovery of the Arterial Input Function. IEEE Transactions on Medical Imaging. 29(3). 610–624. 17 indexed citations
12.
Eyal, Sara, Francisco Chung, Mark Muzi, et al.. (2009). Simultaneous PET Imaging of P-Glycoprotein Inhibition in Multiple Tissues in the Pregnant Nonhuman Primate. Journal of Nuclear Medicine. 50(5). 798–806. 43 indexed citations
13.
Eary, Janet F., Finbarr O’Sullivan, Janet OʼSullivan, & Ernest U. Conrad. (2008). Spatial Heterogeneity in Sarcoma 18F-FDG Uptake as a Predictor of Patient Outcome. Journal of Nuclear Medicine. 49(12). 1973–1979. 163 indexed citations
14.
O’Sullivan, Finbarr, Janet OʼSullivan, Anthony M. J. Bull, & Alison H. McGregor. (2003). Modelling multivariate biomechanical measurements of the spine during a rowing exercise. Clinical Biomechanics. 18(6). 488–493. 32 indexed citations
15.
O’Sullivan, Finbarr & Kingshuk Roy Choudhury. (2001). An Analysis of the Role of Positivity and Mixture Model Constraints in Poisson Deconvolution Problems. Journal of Computational and Graphical Statistics. 10(4). 673–696. 10 indexed citations
16.
O’Sullivan, Finbarr & Amit Saha. (1999). Use of ridge regression for improved estimation of kinetic constants from PET data. IEEE Transactions on Medical Imaging. 18(2). 115–125. 55 indexed citations
17.
Cox, Dennis D. & Finbarr O’Sullivan. (1996). Penalized Likelihood-type Estimators for Generalized Nonparametric Regression. Journal of Multivariate Analysis. 56(2). 185–206. 21 indexed citations
18.
O’Sullivan, Finbarr & Yudi Pawitan. (1996). Bandwidth Selection for Indirect Density Estimation Based on Corrupted Histogram Data. Journal of the American Statistical Association. 91(434). 610–626. 7 indexed citations
19.
Cox, Dennis D. & Finbarr O’Sullivan. (1994). On the Sobolev class of a composite function. Proceedings of the American Mathematical Society. 122(3). 727–732. 1 indexed citations
20.
O’Sullivan, Finbarr. (1993). Imaging radiotracer model parameters in PET: a mixture analysis approach. IEEE Transactions on Medical Imaging. 12(3). 399–412. 67 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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