Matthew S. Rosen

12.7k total citations · 6 hit papers
133 papers, 8.8k citations indexed

About

Matthew S. Rosen is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Matthew S. Rosen has authored 133 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Radiology, Nuclear Medicine and Imaging, 68 papers in Atomic and Molecular Physics, and Optics and 43 papers in Spectroscopy. Recurrent topics in Matthew S. Rosen's work include Advanced MRI Techniques and Applications (63 papers), Atomic and Subatomic Physics Research (55 papers) and Advanced NMR Techniques and Applications (42 papers). Matthew S. Rosen is often cited by papers focused on Advanced MRI Techniques and Applications (63 papers), Atomic and Subatomic Physics Research (55 papers) and Advanced NMR Techniques and Applications (42 papers). Matthew S. Rosen collaborates with scholars based in United States, Germany and United Kingdom. Matthew S. Rosen's co-authors include Al. L. Éfros, Bo Zhu, Moungi G. Bawendi, David J. Norris, I. A. Merkulov, Stephen Cauley, Bruce R. Rosen, Jeremiah Zhe Liu, M. Nirmal and Masaru Kuno and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Matthew S. Rosen

125 papers receiving 8.6k 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.

Band-edge exciton in quantum dots of semiconductors with a degenerate valence band: Dark and bright exciton states

1996 1.1k citations Matthew S. Rosen et al. profile →
Image reconstruction by domain-transform manifold learning

2018 1.1k citations Bo Zhu, Jeremiah Zhe Liu et al. profile →
Electron spin relaxation by nuclei in semiconductor quantum dots

2002 711 citations Matthew S. Rosen et al. profile →
Random Telegraph Signal in the Photoluminescence Intensity of a Single Quantum Dot

1997 652 citations Matthew S. Rosen et al. profile →
Cholecystokinin bioactivity in human plasma. Molecular forms, responses to feeding, and relationship to gallbladder contraction.

1985 593 citations Matthew S. Rosen et al. profile →
Size dependence of exciton fine structure in CdSe quantum dots

1996 440 citations Matthew S. Rosen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew S. Rosen United States	38	3.6k	3.2k	2.6k	2.4k	1.6k	133	8.8k
G. Maret Germany	52	3.0k 0.8×	3.5k 1.1×	847 0.3×	1.0k 0.4×	291 0.2×	168	10.0k
Warren S. Warren United States	50	4.6k 1.3×	2.0k 0.6×	2.1k 0.8×	544 0.2×	5.3k 3.4×	228	9.8k
Xiaojun Liu China	54	4.2k 1.1×	1.4k 0.4×	500 0.2×	2.2k 0.9×	630 0.4×	658	13.6k
Mark J. Kushner United States	68	3.1k 0.9×	3.5k 1.1×	7.7k 2.9×	14.3k 5.9×	1.1k 0.7×	453	17.2k
R. J. Dwayne Miller Canada	65	8.3k 2.3×	2.9k 0.9×	231 0.1×	2.9k 1.2×	2.6k 1.7×	362	14.6k
R. R. Alfano United States	64	8.7k 2.4×	1.8k 0.6×	3.7k 1.4×	5.2k 2.2×	832 0.5×	792	19.4k
Dwight G. Nishimura United States	58	3.1k 0.9×	972 0.3×	10.9k 4.1×	307 0.1×	1.9k 1.2×	206	13.4k
Richard B. Miles United States	51	2.3k 0.6×	344 0.1×	2.2k 0.8×	3.8k 1.6×	1.8k 1.1×	541	10.0k
Richard L. Magin United States	51	558 0.2×	856 0.3×	2.6k 1.0×	490 0.2×	792 0.5×	250	10.7k
Klaas P. Pruessmann Switzerland	54	3.8k 1.1×	489 0.2×	13.2k 5.0×	520 0.2×	2.2k 1.4×	222	15.4k

Countries citing papers authored by Matthew S. Rosen

Since Specialization

Citations

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

Fields of papers citing papers by Matthew S. Rosen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Rosen. 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 Matthew S. Rosen. The network helps show where Matthew S. Rosen may publish in the future.

Co-authorship network of co-authors of Matthew S. Rosen

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Rosen. A scholar is included among the top collaborators of Matthew S. Rosen 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 Matthew S. Rosen. Matthew S. Rosen 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

Olsson, Kevin, et al.. (2025). Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images. Physical Review Applied. 23(3). 1 indexed citations

Johnson, Ian, Joel A. Smith, Gordon Sze, et al.. (2025). Predicting White Matter Hyperintensity: Leveraging Portable MRI for Accessible Brain Health Screening. American Journal of Neuroradiology. 46(9). 1786–1792.

Shen, Sheng, et al.. (2024). Enhancing organ and vascular contrast in preclinical ultra-low field MRI using superparamagnetic iron oxide nanoparticles. Communications Biology. 7(1). 1197–1197. 12 indexed citations

Adelabu, Isaiah, Shiraz Nantogma, Andreas B. Schmidt, et al.. (2024). Toward Ultra‐High‐Quality‐Factor Wireless Masing Magnetic Resonance Sensing. Angewandte Chemie International Edition. 63(37). e202406551–e202406551.

Rosen, Matthew S., et al.. (2024). Single-sided magnetic resonance-based sensor for point-of-care evaluation of muscle. Nature Communications. 15(1). 440–440. 4 indexed citations

Zhu, Bo, Jeremiah Zhe Liu, Néha Koonjoo, et al.. (2024). Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction Using the Local Lipschitz. IEEE Journal of Biomedical and Health Informatics. 28(9). 5422–5434.

Sorby‐Adams, Annabel, Jennifer D. Guo, John E. Kirsch, et al.. (2024). Portable, low-field magnetic resonance imaging for evaluation of Alzheimer’s disease. Nature Communications. 15(1). 10488–10488. 12 indexed citations

Shen, Sheng, Charlotte R. Sappo, Megan Poorman, et al.. (2024). Paramagnetic salt and agarose recipes for phantoms with desired T1 and T2 values for low‐field MRI. NMR in Biomedicine. 38(1). e5281–e5281.

Goodson, Boyd M., Matthew S. Rosen, Eduard Y. Chekmenev, et al.. (2023). Facile hyperpolarization chemistry for molecular imaging and metabolic tracking of [1–13C]pyruvate in vivo. SHILAP Revista de lepidopterología. 16-17. 100129–100129. 34 indexed citations

10.

Shen, Sheng, et al.. (2023). An Exploration of a Phased-Array RF Coil for Very Low-Field Brain MRI. IEEE Sensors Journal. 24(3). 2905–2914. 4 indexed citations

11.

Campbell‐Washburn, Adrienne, Kathryn E. Keenan, Peng Hu, et al.. (2023). Low‐field MRI: A report on the 2022 ISMRM workshop. Magnetic Resonance in Medicine. 90(4). 1682–1694. 23 indexed citations

12.

Kimberly, W. Taylor, Annabel Sorby‐Adams, Andrew Webb, et al.. (2023). Brain imaging with portable low-field MRI. Nature Reviews Bioengineering. 1(9). 617–630. 54 indexed citations

13.

Sveinsson, Bragi, Akshay Chaudhari, Bo Zhu, et al.. (2021). Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network. Radiology Artificial Intelligence. 3(5). e200122–e200122. 8 indexed citations

14.

Shen, Sheng, Zheng Xu, Néha Koonjoo, & Matthew S. Rosen. (2020). Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming. IEEE Transactions on Biomedical Engineering. 68(4). 1106–1114. 13 indexed citations

15.

Cooley, Clarissa, Patrick C. McDaniel, Jason Stockmann, et al.. (2020). A portable scanner for magnetic resonance imaging of the brain. Nature Biomedical Engineering. 5(3). 229–239. 149 indexed citations

16.

Waddington, David E. J., et al.. (2020). High-sensitivity in vivo contrast for ultra-low field magnetic resonance imaging using superparamagnetic iron oxide nanoparticles. Science Advances. 6(29). eabb0998–eabb0998. 74 indexed citations

17.

Sveinsson, Bragi, Néha Koonjoo, & Matthew S. Rosen. (2020). ARmedViewer, an augmented-reality-based fast 3D reslicer for medical image data on mobile devices: A feasibility study. Computer Methods and Programs in Biomedicine. 200. 105836–105836. 6 indexed citations

18.

Corapi, Kristin, Matthew Li, Xavier Vela Parada, et al.. (2019). Fluid assessment in dialysis patients by point-of-care magnetic relaxometry. Science Translational Medicine. 11(502). 18 indexed citations

19.

Cohen, Ouri, Bo Zhu, & Matthew S. Rosen. (2017). Deep Learning for Rapid Sparse MR Fingerprinting Reconstruction.. arXiv (Cornell University). 4 indexed citations

20.

Gao, Jianping, et al.. (1997). Mechanism of action and spectrum of cell types susceptible to doxorubicin photochemotherapy. Cancer Chemotherapy and Pharmacology. 40(2). 138–142. 6 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