Joshua D. Trzasko

4.5k total citations
113 papers, 3.0k citations indexed

About

Joshua D. Trzasko is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computational Mechanics. According to data from OpenAlex, Joshua D. Trzasko has authored 113 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Biomedical Engineering and 17 papers in Computational Mechanics. Recurrent topics in Joshua D. Trzasko's work include Advanced MRI Techniques and Applications (61 papers), Ultrasound Imaging and Elastography (38 papers) and Medical Imaging Techniques and Applications (29 papers). Joshua D. Trzasko is often cited by papers focused on Advanced MRI Techniques and Applications (61 papers), Ultrasound Imaging and Elastography (38 papers) and Medical Imaging Techniques and Applications (29 papers). Joshua D. Trzasko collaborates with scholars based in United States, South Korea and Thailand. Joshua D. Trzasko's co-authors include Armando Manduca, Shigao Chen, Pengfei Song, Lifeng Yu, Joel G. Fletcher, John Huston, Chengwu Huang, Emmanuel J. Candès, Carlos Sing‐Long and Ping Gong and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Transactions on Signal Processing.

In The Last Decade

Joshua D. Trzasko

101 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua D. Trzasko United States 28 2.3k 1.7k 533 440 210 113 3.0k
Leslie Ying United States 33 3.1k 1.3× 1.1k 0.6× 1.2k 2.3× 555 1.3× 123 0.6× 157 4.1k
Jan Kybic Czechia 21 950 0.4× 490 0.3× 175 0.3× 966 2.2× 81 0.4× 107 2.3k
Jo Schlemper United Kingdom 10 1.8k 0.8× 584 0.3× 239 0.4× 939 2.1× 23 0.1× 13 2.8k
Qiegen Liu China 28 1.2k 0.5× 665 0.4× 467 0.9× 953 2.2× 40 0.2× 171 2.3k
Stephen Cauley United States 28 2.8k 1.2× 628 0.4× 229 0.4× 253 0.6× 47 0.2× 84 3.5k
Ruud J. G. van Sloun Netherlands 26 1.1k 0.5× 991 0.6× 72 0.1× 234 0.5× 318 1.5× 149 2.5k
Florian Knöll United States 29 2.8k 1.2× 838 0.5× 619 1.2× 572 1.3× 25 0.1× 102 4.0k
Gene Gindi United States 24 1.8k 0.8× 1.0k 0.6× 140 0.3× 347 0.8× 37 0.2× 108 2.4k
Hector Sanchez Lopez Australia 18 1.4k 0.6× 838 0.5× 53 0.1× 467 1.1× 536 2.6× 64 2.1k
M. O’Donnell United States 32 2.4k 1.0× 1.8k 1.1× 77 0.1× 173 0.4× 1.3k 6.2× 112 3.3k

Countries citing papers authored by Joshua D. Trzasko

Since Specialization
Citations

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

Fields of papers citing papers by Joshua D. Trzasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua D. Trzasko. 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 Joshua D. Trzasko. The network helps show where Joshua D. Trzasko may publish in the future.

Co-authorship network of co-authors of Joshua D. Trzasko

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua D. Trzasko. A scholar is included among the top collaborators of Joshua D. Trzasko 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 Joshua D. Trzasko. Joshua D. Trzasko 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.
Uchida, K, Clifton R. Haider, Norbert G. Campeau, et al.. (2025). Regional variation in cerebral oxygen metabolism during acute severe hypoxia with temporary cognitive impairment. NeuroImage. 316. 121302–121302.
2.
Huston, John, et al.. (2024). Model-based image reconstruction for highly accelerated point spread function encoded echo planar imaging. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
3.
Rathi, Sneha, Michael P. Grams, Rachael A. Vaubel, et al.. (2024). Modeling the Acute Mucosal Toxicity of Fractionated Radiotherapy Combined with the ATM Inhibitor WSD0628. Molecular Cancer Therapeutics. 24(2). 299–309.
4.
Nassiri, Ashley M., Steven A. Messina, John C. Benson, et al.. (2023). Magnetic Resonance Imaging Artifact Associated With Transcutaneous Bone Conduction Implants: Cholesteatoma and Vestibular Schwannoma Surveillance. Otolaryngology. 170(1). 187–194. 5 indexed citations
5.
Arani, Arvin, Christopher G. Schwarz, Heather J. Wiste, et al.. (2022). Left–Right Intensity Asymmetries Vary Depending on Scanner Model for FLAIR and T1 Weighted MRI Images. Journal of Magnetic Resonance Imaging. 56(3). 917–927. 2 indexed citations
6.
Black, David F., Norbert G. Campeau, Kirk M. Welker, et al.. (2022). Enhanced clinical task-based fMRI metrics through locally low-rank denoising of complex-valued data. The Neuroradiology Journal. 36(3). 273–288. 1 indexed citations
7.
Lok, U‐Wai, Ping Gong, Chengwu Huang, et al.. (2022). Reverberation clutter signal suppression in ultrasound attenuation estimation using wavelet-based robust principal component analysis. Physics in Medicine and Biology. 67(9). 95018–95018. 1 indexed citations
8.
You, Qi, Joshua D. Trzasko, Matthew R. Lowerison, et al.. (2022). Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy. IEEE Transactions on Medical Imaging. 41(9). 2385–2398. 13 indexed citations
9.
Borisch, Eric A., Adam T. Froemming, Roger C. Grimm, et al.. (2022). Model‐based image reconstruction with wavelet sparsity regularization for through‐plane resolution restoration in T2‐weighted spin‐echo prostate MRI. Magnetic Resonance in Medicine. 89(1). 454–468. 5 indexed citations
10.
Huang, Chengwu, Pengfei Song, Joshua D. Trzasko, et al.. (2021). Simultaneous Noise Suppression and Incoherent Artifact Reduction in Ultrafast Ultrasound Vascular Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(6). 2075–2085. 29 indexed citations
11.
Jo, Hang Joon, Myung‐Ho In, Uten Yarach, et al.. (2020). The benefit of high-performance gradients on echo planar imaging for BOLD-based resting-state functional MRI. Physics in Medicine and Biology. 65(23). 235024–235024. 8 indexed citations
12.
Tang, Shanshan, Pengfei Song, Joshua D. Trzasko, et al.. (2020). Kalman Filter-Based Microbubble Tracking for Robust Super-Resolution Ultrasound Microvessel Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(9). 1738–1751. 86 indexed citations
13.
Tao, Shengzhen, Yunhong Shu, Joshua D. Trzasko, John Huston, & Matt A. Bernstein. (2019). Partial fourier shells trajectory for non-cartesian MRI. Physics in Medicine and Biology. 64(4). 04NT01–04NT01. 2 indexed citations
14.
Gong, Ping, Pengfei Song, Chengwu Huang, Joshua D. Trzasko, & Shigao Chen. (2019). System-Independent Ultrasound Attenuation Coefficient Estimation Using Spectra Normalization. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(5). 867–875. 25 indexed citations
15.
Huang, Chengwu, Pengfei Song, Ping Gong, et al.. (2019). Debiasing-Based Noise Suppression for Ultrafast Ultrasound Microvessel Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(8). 1281–1291. 45 indexed citations
16.
Song, Pengfei, et al.. (2018). On the Effects of Spatial Sampling Quantization in Super-Resolution Ultrasound Microvessel Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(12). 2264–2276. 38 indexed citations
17.
Yin, Ziying, Yi Sui, Joshua D. Trzasko, et al.. (2018). In vivo characterization of 3D skull and brain motion during dynamic head vibration using magnetic resonance elastography. Magnetic Resonance in Medicine. 80(6). 2573–2585. 18 indexed citations
18.
Song, Pengfei, Randall R. Kinnick, Joshua D. Trzasko, et al.. (2017). Probe Oscillation Shear Wave Elastography: Initial <italic>In Vivo</italic> Results in Liver. IEEE Transactions on Medical Imaging. 37(5). 1214–1223. 11 indexed citations
19.
Song, Pengfei, Joshua D. Trzasko, Armando Manduca, et al.. (2017). Improved Super-Resolution Ultrasound Microvessel Imaging With Spatiotemporal Nonlocal Means Filtering and Bipartite Graph-Based Microbubble Tracking. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(2). 149–167. 209 indexed citations
20.
Kim, Dae‐Hyun, Joshua D. Trzasko, Mikhail Smelyanskiy, et al.. (2010). High-performance 3D Compressive Sensing MRI reconstruction. PubMed. 2010. 3321–3324. 9 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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