Dzung L. Pham

15.0k total citations · 3 hit papers
194 papers, 9.8k citations indexed

About

Dzung L. Pham is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Dzung L. Pham has authored 194 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Radiology, Nuclear Medicine and Imaging, 80 papers in Computer Vision and Pattern Recognition and 41 papers in Neurology. Recurrent topics in Dzung L. Pham's work include Medical Image Segmentation Techniques (67 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (36 papers). Dzung L. Pham is often cited by papers focused on Medical Image Segmentation Techniques (67 papers), Advanced Neuroimaging Techniques and Applications (44 papers) and Advanced MRI Techniques and Applications (36 papers). Dzung L. Pham collaborates with scholars based in United States, Germany and Canada. Dzung L. Pham's co-authors include Jerry L. Prince, Chenyang Xu, Susan M. Resnick, Pierre‐Louis Bazin, Christos Davatzikos, Alan B. Zonderman, Michael A. Kraut, Peter A. Calabresi, Daniel S. Reich and Snehashis Roy and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Dzung L. Pham

188 papers receiving 9.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Current Methods in Medical Image Segmentation

2000 1.5k citations Dzung L. Pham, Jerry L. Prince et al. profile →
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain

2003 1.0k citations Dzung L. Pham et al. profile →
Adaptive fuzzy segmentation of magnetic resonance images

1999 616 citations Dzung L. Pham, Jerry L. Prince profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dzung L. Pham United States	44	3.5k	3.2k	1.4k	1.2k	1.2k	194	9.8k
M. Jorge Cardoso United Kingdom	44	2.2k 0.6×	3.5k 1.1×	511 0.4×	1.2k 0.9×	885 0.7×	253	10.2k
John G. Sled Canada	52	1.7k 0.5×	5.1k 1.6×	1.2k 0.9×	1.1k 0.9×	2.6k 2.2×	239	13.9k
Nicholas J. Tustison United States	33	1.8k 0.5×	5.4k 1.7×	481 0.4×	1.7k 1.4×	3.5k 2.9×	133	12.1k
Alex Zijdenbos Canada	31	2.6k 0.8×	5.3k 1.7×	802 0.6×	1.3k 1.1×	5.4k 4.5×	66	14.0k
Pierrick Coupé France	44	2.8k 0.8×	2.7k 0.9×	633 0.5×	1.1k 0.9×	1.3k 1.1×	139	7.7k
Bennett A. Landman United States	49	2.7k 0.8×	6.2k 2.0×	325 0.2×	1.2k 1.0×	1.9k 1.6×	465	11.0k
Bradley J. Erickson United States	49	1.4k 0.4×	4.5k 1.4×	1.0k 0.7×	882 0.7×	283 0.2×	280	10.4k
Simon K. Warfield United States	68	4.6k 1.3×	7.8k 2.5×	764 0.6×	1.3k 1.0×	2.1k 1.7×	449	21.5k
Jayaram K. Udupa United States	59	5.7k 1.6×	3.8k 1.2×	1.4k 1.0×	805 0.7×	299 0.3×	428	12.1k
Frederik Maes Belgium	50	5.1k 1.5×	5.3k 1.7×	429 0.3×	847 0.7×	868 0.7×	307	13.5k

Countries citing papers authored by Dzung L. Pham

Since Specialization

Citations

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

Fields of papers citing papers by Dzung L. Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dzung L. Pham. 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 Dzung L. Pham. The network helps show where Dzung L. Pham may publish in the future.

Co-authorship network of co-authors of Dzung L. Pham

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shahim, Pashtun, Dzung L. Pham, Brian Moore, et al.. (2024). Serum NfL and GFAP as biomarkers of progressive neurodegeneration in TBI. Alzheimer s & Dementia. 20(7). 4663–4676. 9 indexed citations

Okar, Serhat V., Erin Beck, María I. Gaitán, et al.. (2023). Highly Sensitive 3-Tesla Real Inversion Recovery MRI Detects Leptomeningeal Contrast Enhancement in Chronic Active Multiple Sclerosis. Investigative Radiology. 59(3). 243–251. 9 indexed citations

Gaitán, María I., Nicholas J. Luciano, Snehashis Roy, et al.. (2023). In vivo MRI is sensitive to remyelination in a nonhuman primate model of multiple sclerosis. eLife. 12. 4 indexed citations

Al‐Louzi, Omar, Erin Beck, Snehashis Roy, et al.. (2022). Central Vein Sign Profile of Newly Developing Lesions in Multiple Sclerosis. Neurology Neuroimmunology & Neuroinflammation. 9(2). 19 indexed citations

Upadhyay, Kshitiz, Ahmed Alshareef, Andrew K. Knutsen, et al.. (2022). Development and validation of subject-specific 3D human head models based on a nonlinear visco-hyperelastic constitutive framework. Journal of The Royal Society Interface. 19(195). 9 indexed citations

Al‐Louzi, Omar, Martina Absinta, Parth Desai, et al.. (2022). Lesion size and shape in central vein sign assessment for multiple sclerosis diagnosis: An in vivo and postmortem MRI study. Multiple Sclerosis Journal. 28(12). 1891–1902. 6 indexed citations

Knutsen, Andrew K., Grace McIlvain, Curtis L. Johnson, et al.. (2022). Characterization of material properties and deformation in the ANGUS phantom during mild head impacts using MRI. Journal of the mechanical behavior of biomedical materials. 138. 105586–105586. 7 indexed citations

Alshareef, Ahmed, Andrew K. Knutsen, Curtis L. Johnson, et al.. (2021). Integrating material properties from magnetic resonance elastography into subject-specific computational models for the human brain. SHILAP Revista de lepidopterología. 2. 100038–100038. 12 indexed citations

Keenan, Kathryn E., et al.. (2021). Comparison of Phase Estimation Methods for Quantitative Susceptibility Mapping Using a Rotating-Tube Phantom. SHILAP Revista de lepidopterología. 2021. 1–18. 2 indexed citations

10.

Bayly, Philip V., Ahmed Alshareef, Andrew K. Knutsen, et al.. (2021). MR Imaging of Human Brain Mechanics In Vivo: New Measurements to Facilitate the Development of Computational Models of Brain Injury. Annals of Biomedical Engineering. 49(10). 2677–2692. 33 indexed citations

11.

Bayly, Philip V., et al.. (2021). Group characterization of impact-induced,in vivohuman brain kinematics. Journal of The Royal Society Interface. 18(179). 20210251–20210251. 4 indexed citations

12.

Knutsen, Andrew K., Mihika Gangolli, Wen‐Tung Wang, et al.. (2020). In vivo estimates of axonal stretch and 3D brain deformation during mild head impact. SHILAP Revista de lepidopterología. 1. 100015–100015. 48 indexed citations

13.

Shahim, Pashtun, Adam Politis, André van der Merwe, et al.. (2020). Time course and diagnostic utility of NfL, tau, GFAP, and UCH-L1 in subacute and chronic TBI. Neurology. 95(6). e623–e636. 156 indexed citations

14.

Shahim, Pashtun, Adam Politis, André van der Merwe, et al.. (2020). Neurofilament light as a biomarker in traumatic brain injury. Neurology. 95(6). e610–e622. 161 indexed citations

15.

Sotirchos, Elias S., Blake E. Dewey, Kathryn C. Fitzgerald, et al.. (2019). Effect of disease-modifying therapies on subcortical gray matter atrophy in multiple sclerosis. Multiple Sclerosis Journal. 26(3). 312–321. 30 indexed citations

16.

Linn, Kristin A., Simon Vandekar, Theodore D. Satterthwaite, et al.. (2018). MIMoSA: An Automated Method for Intermodal Segmentation Analysis of Multiple Sclerosis Brain Lesions. Journal of Neuroimaging. 28(4). 389–398. 36 indexed citations

17.

Harrison, Daniel M., Navid Shiee, Pierre‐Louis Bazin, et al.. (2012). Tract-specific quantitative MRI better correlates with disability than conventional MRI in multiple sclerosis. Journal of Neurology. 260(2). 397–406. 35 indexed citations

18.

Bazin, Pierre‐Louis, Lotta M. Ellingsen, & Dzung L. Pham. (2007). Digital Homeomorphisms in Deformable Registration. Lecture notes in computer science. 20. 211–222. 29 indexed citations

19.

Pham, Dzung L.. (2004). Integrating intensity and boundary information for tissue classification. 17. 216–220. 1 indexed citations

20.

Pham, Dzung L. & Jerry L. Prince. (1998). Partial Volume Estimation and the Fuzzy C-means Algorithm. International Conference on Image Processing. 819–822. 10 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.

Explore authors with similar magnitude of impact