Colin B. Hansen

1.5k total citations
17 papers, 438 citations indexed

About

Colin B. Hansen is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Colin B. Hansen has authored 17 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Orthopedics and Sports Medicine and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Colin B. Hansen's work include Advanced Neuroimaging Techniques and Applications (17 papers), Advanced MRI Techniques and Applications (15 papers) and MRI in cancer diagnosis (11 papers). Colin B. Hansen is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (17 papers), Advanced MRI Techniques and Applications (15 papers) and MRI in cancer diagnosis (11 papers). Colin B. Hansen collaborates with scholars based in United States, Canada and United Kingdom. Colin B. Hansen's co-authors include Bennett A. Landman, Kurt G. Schilling, Adam W. Anderson, Vishwesh Nath, Susan M. Resnick, Owen A. Williams, Baxter P. Rogers, Andrea T. Shafer, Fang‐Cheng Yeh and Justin A. Blaber and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Medical Physics.

In The Last Decade

Colin B. Hansen

17 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colin B. Hansen United States 9 357 143 55 37 36 17 438
Félix C. Morency Canada 6 258 0.7× 103 0.7× 72 1.3× 19 0.5× 53 1.5× 8 407
Hikaru Fukutomi Japan 6 240 0.7× 103 0.7× 38 0.7× 16 0.4× 22 0.6× 9 299
Timo Roine Finland 13 257 0.7× 182 1.3× 65 1.2× 19 0.5× 33 0.9× 37 431
Shahrum Nedjati-Gilani United Kingdom 4 348 1.0× 103 0.7× 65 1.2× 59 1.6× 36 1.0× 6 403
Zhexing Liu China 8 420 1.2× 180 1.3× 147 2.7× 19 0.5× 49 1.4× 19 518
KK Seunarine United Kingdom 4 356 1.0× 114 0.8× 74 1.3× 66 1.8× 38 1.1× 7 410
Guillaume Theaud Canada 9 219 0.6× 99 0.7× 77 1.4× 17 0.5× 34 0.9× 19 294
MG Hall Australia 3 325 0.9× 103 0.7× 63 1.1× 59 1.6× 36 1.0× 4 377
PA Cook Australia 4 332 0.9× 105 0.7× 67 1.2× 59 1.6× 36 1.0× 6 384
Etienne St‐Onge Canada 9 281 0.8× 142 1.0× 115 2.1× 13 0.4× 18 0.5× 16 335

Countries citing papers authored by Colin B. Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Colin B. Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin B. Hansen. 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 Colin B. Hansen. The network helps show where Colin B. Hansen may publish in the future.

Co-authorship network of co-authors of Colin B. Hansen

This figure shows the co-authorship network connecting the top 25 collaborators of Colin B. Hansen. A scholar is included among the top collaborators of Colin B. Hansen 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 Colin B. Hansen. Colin B. Hansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Hansen, Colin B., Kurt G. Schilling, François Rheault, et al.. (2022). Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRI. Magnetic Resonance Imaging. 93. 73–86. 4 indexed citations
2.
Schilling, Kurt G., Derek B. Archer, Fang‐Cheng Yeh, et al.. (2022). Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants. Brain Structure and Function. 227(6). 2111–2125. 44 indexed citations
3.
Hansen, Colin B., François Rheault, Leon Y. Cai, et al.. (2022). Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation. PubMed. 10573. 1–1. 1 indexed citations
4.
Yang, Qi, Colin B. Hansen, Leon Y. Cai, et al.. (2022). Learning white matter subject‐specific segmentation from structural MRI. Medical Physics. 49(4). 2502–2513. 3 indexed citations
5.
Cai, Leon Y., Qi Yang, Colin B. Hansen, et al.. (2021). PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images. Magnetic Resonance in Medicine. 86(1). 456–470. 63 indexed citations
6.
Rheault, François, Xuan Wang, Kurt G. Schilling, et al.. (2021). TractEM: Evaluation of protocols for deterministic tractography white matter atlas. Magnetic Resonance Imaging. 85. 44–56. 3 indexed citations
7.
Schilling, Kurt G., Chantal M. W. Tax, François Rheault, et al.. (2021). Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. NeuroImage. 242. 118451–118451. 39 indexed citations
8.
Cai, Leon Y., Qi Yang, Vishwesh Nath, et al.. (2021). MASiVar: Multisite, multiscanner, and multisubject acquisitions for studying variability in diffusion weighted MRI. Magnetic Resonance in Medicine. 86(6). 3304–3320. 25 indexed citations
9.
Hansen, Colin B., Qi Yang, Ilwoo Lyu, et al.. (2020). Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. Neuroinformatics. 19(3). 447–460. 19 indexed citations
10.
Hansen, Colin B., Baxter P. Rogers, Kurt G. Schilling, et al.. (2020). Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI. Magnetic Resonance Imaging. 76. 69–78. 15 indexed citations
11.
Schilling, Kurt G., Justin A. Blaber, Yuankai Huo, et al.. (2019). Synthesized b0 for diffusion distortion correction (Synb0-DisCo). Magnetic Resonance Imaging. 64. 62–70. 112 indexed citations
12.
Hansen, Colin B., Vishwesh Nath, Kurt G. Schilling, et al.. (2019). Consideration of cerebrospinal fluid intensity variation in diffusion weighted MRI. PubMed. 10948. 87–87. 2 indexed citations
13.
Nath, Vishwesh, Kurt G. Schilling, Prasanna Parvathaneni, et al.. (2019). Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI. Magnetic Resonance Imaging. 62. 220–227. 23 indexed citations
14.
Schilling, Kurt G., Fang‐Cheng Yeh, Vishwesh Nath, et al.. (2019). A fiber coherence index for quality control of B-table orientation in diffusion MRI scans. Magnetic Resonance Imaging. 58. 82–89. 63 indexed citations
15.
Nath, Vishwesh, Prasanna Parvathaneni, Colin B. Hansen, et al.. (2019). Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. PubMed. 10949. 23–23. 6 indexed citations
16.
Rogers, Baxter P., Justin A. Blaber, Allen T. Newton, et al.. (2018). Phantom-based field maps for gradient nonlinearity correction in diffusion imaging. PubMed. 10573. 131–131. 8 indexed citations
17.
Hansen, Colin B., Vishwesh Nath, Kurt G. Schilling, et al.. (2018). Characterization and correlation of signal drift in diffusion weighted MRI. Magnetic Resonance Imaging. 57. 133–142. 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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