Justin A. Blaber

3.6k citations

30 papers · 2.3k indexed · 2 hit papers · h-index 12

Civil and Structural Engineering top 1%
Mechanics of Materials top 2%
Mechanical Engineering top 5%
Computer Vision and Pattern Recognition top 2%
Materials Chemistry

Co-authors: Αντωνία Αντωνίου Benjamin S. Adair Sam Stanier W. Andy Take David White Bennett A. Landman Adam W. Anderson Kurt G. Schilling
Topics: Advanced Neuroimaging Techniques and Applications (22 papers)Advanced MRI Techniques and Applications (17 papers)MRI in cancer diagnosis (12 papers)
Cited by: Civil and Structural Engineering Mechanics of Materials Computer Vision and Pattern Recognition
Journals: Acta Materialia Magnetic Resonance in Medicine Scripta Materialia
Partner nations: United States Canada

In The Last Decade

Justin A. Blaber

29 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ncorr: Open-Source 2D Digital Image Correlation Matlab Software

2015 1.6k citations Justin A. Blaber et al. profile →
Improved image-based deformation measurement for geotechnical applications

2015 309 citations Justin A. Blaber et al. profile →

Peers

Countries citing papers authored by Justin A. Blaber

Since Specialization

Citations

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

Fields of papers citing papers by Justin A. Blaber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin A. Blaber. 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 Justin A. Blaber. The network helps show where Justin A. Blaber may publish in the future.

Co-authorship network of co-authors of Justin A. Blaber

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	TractEM: Evaluation of protocols for deterministic tractography white matter atlas 2021 ·Magnetic Resonance Imaging ·François Rheault,(unknown),Xuan Wang,Kurt G. Schilling,(unknown),Colin B. Hansen,(unknown),Karthik Ramadass,(unknown),Justin A. Blaber,Owen A. Williams,Lori L. Beason‐Held,Susan M. Resnick,Baxter P. Rogers,Bennett A. Landman	3
2	Empirical field mapping for gradient nonlinearity correction of multi-site diffusion weighted MRI 2020 ·Magnetic Resonance Imaging ·Colin B. Hansen,Baxter P. Rogers,Kurt G. Schilling,Vishwesh Nath,Justin A. Blaber,(unknown),Alan Barnett,Carlo Pierpaoli,Adam W. Anderson,Bennett A. Landman	15
3	A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder 2020 ·Psychiatry Research Neuroimaging ·(unknown),Kimberly Albert,Warren D. Taylor,Brian D. Boyd,Justin A. Blaber,Ilwoo Lyu,Bennett A. Landman,Jennifer N. Vega,Sepideh Shokouhi,Hakmook Kang	2
4	Synthesized b0 for diffusion distortion correction (Synb0-DisCo) 2019 ·Magnetic Resonance Imaging ·Kurt G. Schilling,Justin A. Blaber,Yuankai Huo,Allen T. Newton,Colin B. Hansen,Vishwesh Nath,Andrea T. Shafer,Owen A. Williams,Susan M. Resnick,Baxter P. Rogers,Adam W. Anderson,Bennett A. Landman	112
5	Consideration of cerebrospinal fluid intensity variation in diffusion weighted MRI 2019 ·PubMed ·Colin B. Hansen,Vishwesh Nath,(unknown),Kurt G. Schilling,Prasanna Parvathaneni,(unknown),Justin A. Blaber,Owen A. Williams,Susan M. Resnick,Lori L. Beason‐Held,Carlo Pierpaoli,(unknown),Adam W. Anderson,Baxter P. Rogers,Bennett A. Landman	2
6	A deep learning approach to estimation of subject-level bias and variance in high angular resolution diffusion imaging 2019 ·Magnetic Resonance Imaging ·(unknown),Vishwesh Nath,Prasanna Parvathaneni,Kurt G. Schilling,Justin A. Blaber,Adam W. Anderson,Hakmook Kang,Bennett A. Landman	1
7	Improved gray matter surface based spatial statistics in neuroimaging studies 2019 ·Magnetic Resonance Imaging ·Prasanna Parvathaneni,Ilwoo Lyu,Yuankai Huo,Baxter P. Rogers,Kurt G. Schilling,Vishwesh Nath,Justin A. Blaber,(unknown),Adam W. Anderson,Neil D. Woodward,Bennett A. Landman	7
8	Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury 2019 ·PubMed ·(unknown),Snehashis Roy,Justin A. Blaber,Camilo Bermudez,Vishwesh Nath,Mayur B. Patel,John A. Butman,Bennett A. Landman,Dzung L. Pham	11
9	Learning 3D White Matter Microstructure from 2D Histology 2019 ·PubMed ·Vishwesh Nath,Kurt G. Schilling,(unknown),(unknown),Yurui Gao,Justin A. Blaber,Yuankai Huo,Bennett A. Landman,Adam W. Anderson	1
10	Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI 2019 ·Magnetic Resonance Imaging ·Vishwesh Nath,Kurt G. Schilling,Prasanna Parvathaneni,Colin B. Hansen,(unknown),Yuankai Huo,Justin A. Blaber,Ilwoo Lyu,Vaibhav Janve,Yurui Gao,Iwona Stepniewska,Adam W. Anderson,Bennett A. Landman	23
11	Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators 2019 ·PubMed ·Vishwesh Nath,(unknown),Prasanna Parvathaneni,Colin B. Hansen,(unknown),Camilo Bermudez,Justin A. Blaber,Kurt G. Schilling,Vaibhav A. Janve,Yurui Gao,Yuankai Huo,Ilwoo Lyu,Owen A. Williams,Susan M. Resnick,Lori L. Beason‐Held,Baxter P. Rogers,Iwona Stepniewska,Adam W. Anderson,Bennett A. Landman	6
12	Towards Portable Large-Scale Image Processing with High-Performance Computing 2018 ·Journal of Digital Imaging ·Yuankai Huo,Justin A. Blaber,Stephen Damon,Brian D. Boyd,Shunxing Bao,Prasanna Parvathaneni,(unknown),Shikha Chaganti,Vishwesh Nath,(unknown),Ilwoo Lyu,(unknown),Allen T. Newton,Baxter P. Rogers,Bennett A. Landman	19
13	Phantom-based field maps for gradient nonlinearity correction in diffusion imaging 2018 ·PubMed ·Baxter P. Rogers,Justin A. Blaber,Allen T. Newton,E. Brian Welch,Adam W. Anderson,Carlo Pierpaoli,Bennett A. Landman,Jeffrey J. Luci,Colin B. Hansen	8
14	Characterization and correlation of signal drift in diffusion weighted MRI 2018 ·Magnetic Resonance Imaging ·Colin B. Hansen,Vishwesh Nath,(unknown),Kurt G. Schilling,Prasanna Parvathaneni,(unknown),Justin A. Blaber,(unknown),Carlo Pierpaoli,Adam W. Anderson,Baxter P. Rogers,Bennett A. Landman	8
15	Functional tractography of white matter by high angular resolution functional‐correlation imaging (HARFI) 2018 ·Magnetic Resonance in Medicine ·Kurt G. Schilling,Yurui Gao,Muwei Li,Tung‐Lin Wu,Justin A. Blaber,Bennett A. Landman,Adam W. Anderson,Zhaohua Ding,John C. Gore	17
16	Evaluation of inter-site bias and variance in diffusion-weighted MRI 2018 ·PubMed ·(unknown),Vishwesh Nath,Prasanna Parvathaneni,Justin A. Blaber,Baxter P. Rogers,Allen T. Newton,Jeffrey J. Luci,Heidi A. Edmonson,Hakmook Kang,Bennett A. Landman	2
17	SHARD: spherical harmonic-based robust outlier detection for HARDI methods 2018 ·PubMed ·Vishwesh Nath,Kurt G. Schilling,(unknown),Prasanna Parvathaneni,Justin A. Blaber,Ilwoo Lyu,Adam W. Anderson,Hakmook Kang,Allen T. Newton,Baxter P. Rogers,Bennett A. Landman	1
18	Empirical estimation of intravoxel structure with persistent angular structure and Q-ball models of diffusion weighted MRI 2018 ·Journal of Medical Imaging ·Vishwesh Nath,Kurt G. Schilling,Prasanna Parvathaneni,Justin A. Blaber,(unknown),Zhaohua Ding,Adam W. Anderson,Bennett A. Landman	4
19	Empirical reproducibility, sensitivity, and optimization of acquisition protocol, for Neurite Orientation Dispersion and Density Imaging using AMICO 2018 ·Magnetic Resonance Imaging ·Prasanna Parvathaneni,Vishwesh Nath,Justin A. Blaber,Kurt G. Schilling,(unknown),(unknown),Adam W. Anderson,Bennett A. Landman	16
20	Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging 2017 ·Magnetic Resonance Imaging ·Kurt G. Schilling,Vishwesh Nath,Justin A. Blaber,Prasanna Parvathaneni,Adam W. Anderson,Bennett A. Landman	4

About Justin A. Blaber

Justin A. Blaber is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Cognitive Neuroscience, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (22 papers), Advanced MRI Techniques and Applications (17 papers) and MRI in cancer diagnosis (12 papers). The work is most often cited by research in Civil and Structural Engineering (747 citations), Mechanics of Materials (601 citations) and Computer Vision and Pattern Recognition (382 citations). Justin A. Blaber has collaborated with scholars based in United States and Canada. Frequent co-authors include Αντωνία Αντωνίου, Benjamin S. Adair, Sam Stanier, W. Andy Take, David White, Bennett A. Landman, Adam W. Anderson, Kurt G. Schilling, Vishwesh Nath and Baxter P. Rogers. Their work appears in journals such as Acta Materialia, Magnetic Resonance in Medicine and Scripta Materialia.

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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