Kerrin Pine

1.3k total citations
33 papers, 435 citations indexed

About

Kerrin Pine is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Nuclear and High Energy Physics. According to data from OpenAlex, Kerrin Pine has authored 33 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cognitive Neuroscience and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Kerrin Pine's work include Advanced MRI Techniques and Applications (28 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Functional Brain Connectivity Studies (12 papers). Kerrin Pine is often cited by papers focused on Advanced MRI Techniques and Applications (28 papers), Advanced Neuroimaging Techniques and Applications (20 papers) and Functional Brain Connectivity Studies (12 papers). Kerrin Pine collaborates with scholars based in Germany, United Kingdom and Netherlands. Kerrin Pine's co-authors include Nikolaus Weiskopf, Robert Trampel, Pierre‐Louis Bazin, Luke Edwards, David J. Lurie, Evgeniya Kirilina, Gareth Reynold Davies, Isabel Ellerbrock, Siawoosh Mohammadi and Lionel Broche and has published in prestigious journals such as NeuroImage, Radiology and Science Advances.

In The Last Decade

Kerrin Pine

29 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerrin Pine Germany 11 321 146 58 37 36 33 435
Jakob Assländer United States 13 569 1.8× 169 1.2× 62 1.1× 27 0.7× 48 1.3× 29 666
Mark Chiew United Kingdom 15 415 1.3× 282 1.9× 67 1.2× 34 0.9× 21 0.6× 58 634
Francesco Padormo United Kingdom 11 425 1.3× 164 1.1× 85 1.5× 19 0.5× 34 0.9× 24 665
Heidi A. Ward United States 9 590 1.8× 117 0.8× 43 0.7× 26 0.7× 27 0.8× 18 729
Piotr M. Starewicz United States 10 421 1.3× 139 1.0× 84 1.4× 35 0.9× 35 1.0× 16 611
Bernd Müller‐Bierl Germany 8 420 1.3× 198 1.4× 49 0.8× 32 0.9× 25 0.7× 13 510
Nirav Barapatre Germany 8 354 1.1× 180 1.2× 32 0.6× 13 0.4× 16 0.4× 16 548
Cornelius Eichner Germany 11 366 1.1× 135 0.9× 48 0.8× 29 0.8× 16 0.4× 31 463
L. Martyn Klassen Canada 15 448 1.4× 184 1.3× 128 2.2× 25 0.7× 37 1.0× 28 567
Korbinian Eckstein Austria 9 220 0.7× 51 0.3× 43 0.7× 18 0.5× 25 0.7× 20 281

Countries citing papers authored by Kerrin Pine

Since Specialization
Citations

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

Fields of papers citing papers by Kerrin Pine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerrin Pine

This figure shows the co-authorship network connecting the top 25 collaborators of Kerrin Pine. A scholar is included among the top collaborators of Kerrin Pine 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 Kerrin Pine. Kerrin Pine 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.
Chatziantoniou, Christos, J.A. van der Vliet, Marjolein Bulk, et al.. (2025). Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA). Neuroinformatics. 23(2). 11–11. 1 indexed citations
2.
Ramos‐Llordén, Gabriel, Luke Edwards, Kerrin Pine, et al.. (2025). High‐density MRI coil arrays with integrated field monitoring systems for human connectome mapping. Magnetic Resonance in Medicine. 94(5). 2286–2303.
3.
Kirilina, Evgeniya, Denis Chaimow, Christian Schneider, et al.. (2025). Short association fibres form topographic sheets in the human V1–V2 processing stream. Imaging Neuroscience. 3. 1 indexed citations
4.
5.
Edwards, Luke, et al.. (2024). Improving MR axon radius estimation in human white matter using spiral acquisition and field monitoring. Magnetic Resonance in Medicine. 92(5). 1898–1912. 2 indexed citations
6.
Kirilina, Evgeniya, et al.. (2024). Mapping short association fibre connectivity up to V3 in the human brain in vivo. Cerebral Cortex. 34(7). 2 indexed citations
7.
Edwards, Luke, Siawoosh Mohammadi, Kerrin Pine, Martina F. Callaghan, & Nikolaus Weiskopf. (2023). Robust and efficient R2* estimation in human brain using log-linear weighted least squares. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
8.
Trampel, Robert, Shahin Nasr, Jon̈athan R. Polimeni, et al.. (2023). High-resolution quantitative and functional MRI indicate lower myelination of thin and thick stripes in human secondary visual cortex. eLife. 12. 11 indexed citations
9.
Edwards, Luke, Peter McColgan, Saskia Helbling, et al.. (2022). Quantitative MRI maps of human neocortex explored using cell type-specific gene expression analysis. Cerebral Cortex. 33(9). 5704–5716. 6 indexed citations
10.
Kirilina, Evgeniya, Anneke Alkemade, Pierre‐Louis Bazin, et al.. (2022). Swallow Tail Sign: Revisited. Radiology. 305(3). 674–677. 13 indexed citations
11.
Alkemade, Anneke, Pierre‐Louis Bazin, Rawien Balesar, et al.. (2022). A unified 3D map of microscopic architecture and MRI of the human brain. Science Advances. 8(17). 31 indexed citations
12.
Lipp, Ilona, Evgeniya Kirilina, Luke Edwards, et al.. (2022). B1+$$ {B}_1^{+} $$‐correction of magnetization transfer saturation maps optimized for 7T postmortem MRI of the brain. Magnetic Resonance in Medicine. 89(4). 1385–1400. 1 indexed citations
13.
Mohammadi, Siawoosh, Luke Edwards, Antoine Lutti, et al.. (2022). Error quantification in multi-parameter mapping facilitates robust estimation and enhanced group level sensitivity. NeuroImage. 262. 119529–119529. 1 indexed citations
14.
Pine, Kerrin, Luke Edwards, Gunther Helms, & Nikolaus Weiskopf. (2021). Addressing inadvertent MT effects in 7 T brain T1 mapping by simple pulse length scaling. Lund University Publications (Lund University). 1 indexed citations
15.
Papazoglou, Sebastian, Kerrin Pine, Luke Edwards, et al.. (2019). Biophysically motivated efficient estimation of the spatially isotropic component from a single gradient‐recalled echo measurement. Magnetic Resonance in Medicine. 82(5). 1804–1811. 4 indexed citations
16.
Trampel, Robert, Pierre‐Louis Bazin, Kerrin Pine, & Nikolaus Weiskopf. (2017). In-vivo magnetic resonance imaging (MRI) of laminae in the human cortex. NeuroImage. 197. 707–715. 69 indexed citations
17.
Broche, Lionel, P. J. Ross, Kerrin Pine, & David J. Lurie. (2013). Rapid multi-field T1 estimation algorithm for Fast Field-Cycling MRI. Journal of Magnetic Resonance. 238. 44–51. 6 indexed citations
18.
Lurie, David J., Silvio Aime, Simona Baroni, et al.. (2010). Fast field-cycling magnetic resonance imaging. Comptes Rendus Physique. 11(2). 136–148. 55 indexed citations
19.
Pine, Kerrin, Gareth Reynold Davies, & David J. Lurie. (2010). Field‐cycling NMR relaxometry with spatial selection. Magnetic Resonance in Medicine. 63(6). 1698–1702. 20 indexed citations
20.
Pine, Kerrin, et al.. (2004). Radio direction finding for maritime search and rescue. Asian Control Conference. 2. 723–730. 8 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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