Kieran O’Brien

2.9k total citations
67 papers, 2.1k citations indexed

About

Kieran O’Brien is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Kieran O’Brien has authored 67 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Cognitive Neuroscience. Recurrent topics in Kieran O’Brien's work include Advanced MRI Techniques and Applications (53 papers), Advanced Neuroimaging Techniques and Applications (25 papers) and MRI in cancer diagnosis (12 papers). Kieran O’Brien is often cited by papers focused on Advanced MRI Techniques and Applications (53 papers), Advanced Neuroimaging Techniques and Applications (25 papers) and MRI in cancer diagnosis (12 papers). Kieran O’Brien collaborates with scholars based in Australia, Switzerland and Germany. Kieran O’Brien's co-authors include Christian Federau, Patric Hagmann, Reto Meuli, Philippe Maeder, Markus Barth, François Lazeyras, José P. Marques, Alistair A. Young, Brett R. Cowan and Rolf Gruetter and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Kieran O’Brien

64 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kieran O’Brien Australia 25 1.6k 258 222 165 128 67 2.1k
Thorsten Feiweier Germany 26 2.0k 1.3× 248 1.0× 163 0.7× 125 0.8× 84 0.7× 121 2.4k
Martijn Froeling Netherlands 30 1.9k 1.2× 172 0.7× 207 0.9× 335 2.0× 88 0.7× 121 2.8k
Nikola Stikov Canada 24 2.0k 1.3× 467 1.8× 114 0.5× 200 1.2× 64 0.5× 58 2.7k
Hsiao‐Wen Chung Taiwan 32 1.7k 1.1× 188 0.7× 95 0.4× 234 1.4× 216 1.7× 133 2.8k
Manojkumar Saranathan United States 25 1.5k 0.9× 357 1.4× 440 2.0× 104 0.6× 210 1.6× 92 2.2k
Kecheng Liu China 16 1.6k 1.0× 143 0.6× 96 0.4× 176 1.1× 103 0.8× 38 2.0k
E. Brian Welch United States 29 1.4k 0.9× 107 0.4× 183 0.8× 146 0.9× 57 0.4× 81 2.0k
Ajit Shankaranarayanan United States 24 1.6k 1.0× 453 1.8× 104 0.5× 134 0.8× 266 2.1× 34 2.0k
Eric Han United States 23 2.0k 1.3× 261 1.0× 101 0.5× 500 3.0× 74 0.6× 36 3.1k
Alexey Samsonov United States 31 1.9k 1.2× 215 0.8× 108 0.5× 431 2.6× 69 0.5× 84 2.8k

Countries citing papers authored by Kieran O’Brien

Since Specialization
Citations

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

Fields of papers citing papers by Kieran O’Brien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kieran O’Brien

This figure shows the co-authorship network connecting the top 25 collaborators of Kieran O’Brien. A scholar is included among the top collaborators of Kieran O’Brien 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 Kieran O’Brien. Kieran O’Brien 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.
Vegh, Viktor, et al.. (2024). Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks. SHILAP Revista de lepidopterología. 4. 1466498–1466498.
2.
O’Brien, Kieran, et al.. (2024). A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET. EJNMMI Research. 14(1). 1–1. 1 indexed citations
3.
O’Brien, Kieran, Axel Rominger, Hasan Sari, et al.. (2024). Automated extraction of the arterial input function from brain images for parametric PET studies. EJNMMI Research. 14(1). 33–33. 1 indexed citations
4.
Brighi, Caterina, David E. J. Waddington, Paul Keall, et al.. (2023). The MANGO study: a prospective investigation of oxygen enhanced and blood-oxygen level dependent MRI as imaging biomarkers of hypoxia in glioblastoma. Frontiers in Oncology. 13. 1306164–1306164. 1 indexed citations
5.
Coorey, Genevieve, Gemma A. Figtree, David F. Fletcher, et al.. (2022). The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field. npj Digital Medicine. 5(1). 126–126. 167 indexed citations
6.
Vegh, Viktor, et al.. (2021). Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions. Brain Structure and Function. 227(1). 313–329. 4 indexed citations
7.
Jamadar, Sharna D., Phillip G. D. Ward, Thomas Close, et al.. (2020). Simultaneous BOLD-fMRI and constant infusion FDG-PET data of the resting human brain. Scientific Data. 7(1). 363–363. 38 indexed citations
8.
Bollmann, Steffen, Mathias Vassard Olsen, Lasse Riis Østergaard, et al.. (2019). SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network. Zeitschrift für Medizinische Physik. 29(2). 139–149. 18 indexed citations
9.
Stäb, Daniel, Aiman Al Najjar, Kieran O’Brien, et al.. (2019). Cardiac Magnetic Resonance Imaging at 7 Tesla. Journal of Visualized Experiments. 7 indexed citations
10.
Stäb, Daniel, et al.. (2016). ECG Triggering in Ultra-High Field Cardiovascular MRI. Tomography. 2(3). 167–174. 17 indexed citations
11.
Federau, Christian, et al.. (2015). Functional Mapping of the Human Visual Cortex with Intravoxel Incoherent Motion MRI. PLoS ONE. 10(2). e0117706–e0117706. 21 indexed citations
12.
O’Brien, Kieran, Arthur W. Magill, José P. Marques, et al.. (2014). Dielectric pads and low- B1+ adiabatic pulses: Complementary techniques to optimize structural T1w whole-brain MP2RAGE scans at 7 tesla. Archive ouverte UNIGE (University of Geneva). 24 indexed citations
13.
O’Brien, Kieran, Tobias Kober, Patric Hagmann, et al.. (2014). Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE. PLoS ONE. 9(6). e99676–e99676. 108 indexed citations
14.
Federau, Christian, Fabio Becce, Philippe Maeder, et al.. (2014). Intravoxel incoherent motion perfusion imaging in acute stroke: initial clinical experience. Neuroradiology. 56(8). 629–635. 67 indexed citations
15.
Kunz, Nicolas, Hui Zhang, Lana Vasung, et al.. (2014). Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models. NeuroImage. 96. 288–299. 130 indexed citations
16.
O’Brien, Kieran, Alessandro Daducci, François Lazeyras, et al.. (2013). 3-D Residual Eddy Current Field Characterisation: Applied to Diffusion Weighted Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging. 32(8). 1515–1525. 8 indexed citations
17.
Lemkaddem, Alia, Alessandro Daducci, Serge Vulliémoz, et al.. (2012). A multi-center study: Intra-scan and inter-scan variability of diffusion spectrum imaging. NeuroImage. 62(1). 87–94. 18 indexed citations
18.
Federau, Christian, Philippe Maeder, Kieran O’Brien, et al.. (2012). Quantitative Measurement of Brain Perfusion with Intravoxel Incoherent Motion MR Imaging. Radiology. 265(3). 874–881. 154 indexed citations
19.
20.
O’Brien, Kieran, et al.. (2008). MRI phase contrast velocity and flow errors in turbulent stenotic jets. Journal of Magnetic Resonance Imaging. 28(1). 210–218. 99 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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