Paul A. Yushkevich

29.3k total citations · 5 hit papers
218 papers, 18.2k citations indexed

About

Paul A. Yushkevich is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Paul A. Yushkevich has authored 218 papers receiving a total of 18.2k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Radiology, Nuclear Medicine and Imaging, 64 papers in Computer Vision and Pattern Recognition and 60 papers in Cognitive Neuroscience. Recurrent topics in Paul A. Yushkevich's work include Medical Image Segmentation Techniques (61 papers), Advanced Neuroimaging Techniques and Applications (61 papers) and Alzheimer's disease research and treatments (47 papers). Paul A. Yushkevich is often cited by papers focused on Medical Image Segmentation Techniques (61 papers), Advanced Neuroimaging Techniques and Applications (61 papers) and Alzheimer's disease research and treatments (47 papers). Paul A. Yushkevich collaborates with scholars based in United States, Sweden and France. Paul A. Yushkevich's co-authors include James C. Gee, Guido Gerig, Sean Ho, Joseph Piven, Rachel G. Smith, Heather C. Hazlett, Brian Avants, Philip A. Cook, Nicholas J. Tustison and Yuanjie Zheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Brain.

In The Last Decade

Paul A. Yushkevich

208 papers receiving 18.0k citations

Hit Papers

User-guided 3D active contour segmentation of anatomical ... 2006 2026 2012 2019 2006 2010 2012 2014 2016 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul A. Yushkevich United States 45 7.9k 4.3k 3.2k 2.3k 1.9k 218 18.2k
Brian Avants United States 56 9.6k 1.2× 7.9k 1.8× 3.7k 1.2× 2.7k 1.2× 1.4k 0.7× 157 22.4k
Michael I. Miller United States 78 10.3k 1.3× 7.3k 1.7× 5.7k 1.8× 3.7k 1.6× 1.9k 1.0× 383 24.0k
Guido Gerig United States 69 9.0k 1.1× 5.3k 1.2× 5.8k 1.8× 1.7k 0.7× 2.3k 1.2× 282 23.4k
Sébastien Ourselin United Kingdom 76 10.2k 1.3× 3.7k 0.8× 5.1k 1.6× 4.1k 1.8× 4.7k 2.5× 812 26.7k
Nicholas J. Tustison United States 33 5.4k 0.7× 3.5k 0.8× 1.8k 0.6× 1.1k 0.5× 864 0.5× 133 12.1k
John G. Sled Canada 52 5.1k 0.6× 2.6k 0.6× 1.7k 0.5× 1.3k 0.6× 914 0.5× 239 13.9k
James C. Gee United States 64 14.3k 1.8× 9.3k 2.1× 5.3k 1.7× 3.1k 1.4× 2.7k 1.4× 370 33.1k
Joseph V. Hajnal United Kingdom 80 11.2k 1.4× 3.6k 0.8× 3.2k 1.0× 1.3k 0.6× 2.5k 1.3× 546 24.4k
Wiro J. Niessen Netherlands 70 7.3k 0.9× 1.8k 0.4× 4.5k 1.4× 2.2k 1.0× 2.6k 1.4× 541 19.5k
Alex Zijdenbos Canada 31 5.3k 0.7× 5.4k 1.3× 2.6k 0.8× 2.8k 1.2× 644 0.3× 66 14.0k

Countries citing papers authored by Paul A. Yushkevich

Since Specialization
Citations

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

Fields of papers citing papers by Paul A. Yushkevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul A. Yushkevich

This figure shows the co-authorship network connecting the top 25 collaborators of Paul A. Yushkevich. A scholar is included among the top collaborators of Paul A. Yushkevich 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 Paul A. Yushkevich. Paul A. Yushkevich 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.
Hrybouski, Stanislau, Sandhitsu R. Das, Long Xie, et al.. (2025). BOLD amplitude correlates of preclinical Alzheimer’s disease. Neurobiology of Aging. 150. 157–171.
2.
Dolui, Sudipto, Christopher D. Brown, Pulkit Khandelwal, et al.. (2024). Regional cerebral blood flow reflects both neurodegeneration and microvascular integrity across the Alzheimer's continuum. Alzheimer s & Dementia. 21(1). e14382–e14382.
3.
Yushkevich, Paul A., Ranjit Ittyerah, Yue Li, et al.. (2024). Morphometry of medial temporal lobe subregions using high‐resolution T2‐weighted MRI in ADNI3: Why, how, and what's next?. Alzheimer s & Dementia. 20(11). 8113–8128. 3 indexed citations
4.
Jolley, Matthew A., András Lassó, Nadav Schwartz, et al.. (2024). Open-source graphical user interface for the creation of synthetic skeletons for medical image analysis. Journal of Medical Imaging. 11(3). 36001–36001. 1 indexed citations
5.
Hrybouski, Stanislau, Sandhitsu R. Das, Long Xie, et al.. (2024). BOLD fMRI signal changes in preclinical Alzheimer’s disease. Alzheimer s & Dementia. 20(S9).
6.
Hrybouski, Stanislau, Sandhitsu R. Das, Long Xie, et al.. (2023). Aging and Alzheimer’s disease have dissociable effects on local and regional medial temporal lobe connectivity. Brain Communications. 5(5). fcad245–fcad245. 11 indexed citations
7.
Xie, Long, Sandhitsu R. Das, Laura E.M. Wisse, et al.. (2023). Baseline structural MRI and plasma biomarkers predict longitudinal structural atrophy and cognitive decline in early Alzheimer’s disease. Alzheimer s Research & Therapy. 15(1). 79–79. 14 indexed citations
8.
Cook, Philip A., Sudipto Dolui, Christopher Brown, et al.. (2023). Young versus older subject diffusion magnetic resonance imaging data for virtual white matter lesion tractography. Human Brain Mapping. 44(10). 3943–3953. 6 indexed citations
9.
André, Claire, Elizabeth Kuhn, Stéphane Rehel, et al.. (2023). Association of Sleep-Disordered Breathing and Medial Temporal Lobe Atrophy in Cognitively Unimpaired Amyloid-Positive Older Adults. Neurology. 101(4). e370–e385. 14 indexed citations
10.
Hrybouski, Stanislau, Sandhitsu R. Das, Long Xie, et al.. (2023). Aging and Alzheimer’s Disease Have Dissociable Effects on Local and Regional Medial Temporal Lobe Connectivity. Alzheimer s & Dementia. 19(S16). 1 indexed citations
11.
Mechanic‐Hamilton, Dawn, Sudipto Dolui, Sandhitsu R. Das, et al.. (2023). Impact of white matter hyperintensities on structural connectivity and cognition in cognitively intact ADNI participants. Neurobiology of Aging. 135. 79–90. 2 indexed citations
12.
Chung, Albert C. S., et al.. (2019). Information Processing in Medical Imaging. Lecture notes in computer science. 50 indexed citations
13.
Delhaye, Emma, Dawn Mechanic‐Hamilton, Sandhitsu R. Das, et al.. (2018). Associative memory for conceptually unitized word pairs in mild cognitive impairment is related to the volume of the perirhinal cortex. Hippocampus. 29(7). 630–638. 12 indexed citations
14.
Xie, Long, Laura E.M. Wisse, Sandhitsu R. Das, et al.. (2016). Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI. Lecture notes in computer science. 9901. 564–571. 27 indexed citations
15.
Wolk, David A., Sandhitsu R. Das, Susanne G. Mueller, Michael W. Weiner, & Paul A. Yushkevich. (2016). Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease. Neurobiology of Aging. 49. 204–213. 69 indexed citations
16.
Wisse, Laura E.M., Hugo J. Kuijf, Anita M. Werensteijn-Honingh, et al.. (2016). Automated Hippocampal Subfield Segmentation at 7T MRI. American Journal of Neuroradiology. 37(6). 1050–1057. 59 indexed citations
17.
Bouma, Wobbe, Eric Lai, Melissa M. Levack, et al.. (2015). Preoperative Three-Dimensional Valve Analysis Predicts Recurrent Ischemic Mitral Regurgitation After Mitral Annuloplasty. The Annals of Thoracic Surgery. 101(2). 567–575. 37 indexed citations
18.
Witschey, Walter R., Francisco Contijoch, Jeremy R. McGarvey, et al.. (2014). Real-Time Magnetic Resonance Imaging Technique for Determining Left Ventricle Pressure-Volume Loops. The Annals of Thoracic Surgery. 97(5). 1597–1603. 15 indexed citations
19.
Pouch, Alison M., Paul A. Yushkevich, Benjamin M. Jackson, et al.. (2012). Development of a semi-automated method for mitral valve modeling with medial axis representation using 3D ultrasound. Medical Physics. 39(2). 933–950. 30 indexed citations
20.
Yushkevich, Paul A., Joseph Piven, Heather C. Hazlett, et al.. (2006). User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage. 31(3). 1116–1128. 6375 indexed citations breakdown →

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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