Jonathan I. Tamir

2.2k total citations · 1 hit paper
44 papers, 1.5k citations indexed

About

Jonathan I. Tamir is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jonathan I. Tamir has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Electrical and Electronic Engineering and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jonathan I. Tamir's work include Advanced MRI Techniques and Applications (29 papers), Medical Imaging Techniques and Applications (14 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Jonathan I. Tamir is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Medical Imaging Techniques and Applications (14 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). Jonathan I. Tamir collaborates with scholars based in United States, Germany and Israel. Jonathan I. Tamir's co-authors include Theodore S. Rappaport, Yijun Qiao, James N. Murdock, Félix Gutiérrez, Michael Lustig, Shreyas Vasanawala, Martin Uecker, Marcus T. Alley, Peng Lai and Weitian Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Jonathan I. Tamir

40 papers receiving 1.4k 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.

Broadband Millimeter-Wave Propagation Measurements and Models Using Adaptive-Beam Antennas for Outdoor Urban Cellular Communications

2013 648 citations Jonathan I. Tamir et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan I. Tamir United States	13	828	485	262	128	100	44	1.5k
Jianguo Yu China	21	1.2k 1.4×	76 0.2×	261 1.0×	103 0.8×	172 1.7×	159	1.5k
He Deng China	17	498 0.6×	229 0.5×	673 2.6×	19 0.1×	204 2.0×	41	1.2k
Yue Hu China	16	160 0.2×	547 1.1×	43 0.2×	142 1.1×	98 1.0×	77	1.3k
Dirk Heberling Germany	19	770 0.9×	160 0.3×	812 3.1×	35 0.3×	85 0.8×	223	1.4k
Sanjeev Sharma India	16	658 0.8×	162 0.3×	183 0.7×	145 1.1×	18 0.2×	114	1.1k
Luís B. Oliveira Portugal	14	483 0.6×	146 0.3×	28 0.1×	44 0.3×	103 1.0×	125	814
Werner Renhart Austria	16	424 0.5×	129 0.3×	130 0.5×	16 0.1×	110 1.1×	75	904
Jianying Li China	30	2.0k 2.4×	470 1.0×	2.5k 9.4×	40 0.3×	62 0.6×	174	3.1k
Georgios C. Trichopoulos United States	13	1.9k 2.3×	22 0.0×	777 3.0×	124 1.0×	134 1.3×	67	2.2k
Suguru Kameda Japan	13	671 0.8×	47 0.1×	242 0.9×	200 1.6×	42 0.4×	193	857

Countries citing papers authored by Jonathan I. Tamir

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan I. Tamir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan I. Tamir. 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 Jonathan I. Tamir. The network helps show where Jonathan I. Tamir may publish in the future.

Co-authorship network of co-authors of Jonathan I. Tamir

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan I. Tamir. A scholar is included among the top collaborators of Jonathan I. Tamir 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 Jonathan I. Tamir. Jonathan I. Tamir 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

Rishe, Naphtali, et al.. (2025). Evaluating neural networks for early maritime threat detection. 29–29. 1 indexed citations

Tamir, Jonathan I., et al.. (2025). MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour. Magnetic Resonance Materials in Physics Biology and Medicine. 38(3). 367–385. 2 indexed citations

Wu, Chengyue, David A. Hormuth, Ernesto A. B. F. Lima, et al.. (2025). A critical assessment of artificial intelligence in magnetic resonance imaging of cancer. PubMed. 3(1). 15–15.

Tamir, Jonathan I., et al.. (2025). Diffusion Probabilistic Generative Models for Accelerated in-NICU, Permanent Magnet Neonatal MRI Reconstruction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Saber, Hamidreza, et al.. (2025). Training Diffusion Probabilistic Models with Limited Data for Accelerated MRI Reconstruction with Application to Stroke MRI. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Aali, Asad, et al.. (2025). Robust multi‐coil MRI reconstruction via self‐supervised denoising. Magnetic Resonance in Medicine. 94(5). 1859–1877. 1 indexed citations

Tamir, Jonathan I., et al.. (2024). INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D Accelerated MRI Reconstruction. 1886–1890. 1 indexed citations

Aali, Asad, et al.. (2024). GSURE Denoising enables training of higher quality generative priors for accelerated Multi-Coil MRI Reconstruction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations

Doneva, Mariya, Jakob Meineke, Thomas Amthor, et al.. (2023). High‐fidelity direct contrast synthesis from magnetic resonance fingerprinting. Magnetic Resonance in Medicine. 90(5). 2116–2129. 12 indexed citations

10.

Tamir, Jonathan I., et al.. (2023). Federated End-to-End Unrolled Models for Magnetic Resonance Image Reconstruction. Bioengineering. 10(3). 364–364. 8 indexed citations

11.

DiCarlo, Julie C., et al.. (2022). An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data. Magnetic Resonance in Medicine. 89(4). 1617–1633. 4 indexed citations

12.

Vishwanath, Sriram, et al.. (2022). Joint high-dimensional soft bit estimation and quantization using deep learning. EURASIP Journal on Wireless Communications and Networking. 2022(1). 1 indexed citations

13.

Tamir, Jonathan I., et al.. (2022). Score-Based Generative Models for Robust Channel Estimation. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 453–458. 8 indexed citations

14.

Tamir, Jonathan I., et al.. (2021). Quantitative anatomy mimicking slice phantoms. Magnetic Resonance in Medicine. 86(2). 1159–1166. 17 indexed citations

15.

Uecker, Martin, et al.. (2020). mrirecon/bart: version 0.6.00. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

16.

Tamir, Jonathan I., Valentina Taviani, Marcus T. Alley, et al.. (2019). Targeted rapid knee MRI exam using T₂ shuffling. Journal of Magnetic Resonance Imaging. 49(7). e195–e204. 11 indexed citations

17.

Chen, Feiyu, Valentina Taviani, Itzik Malkiel, et al.. (2018). Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks. Radiology. 289(2). 366–373. 96 indexed citations

18.

Chen, Feiyu, Valentina Taviani, Jonathan I. Tamir, et al.. (2017). Self‐Calibrating Wave‐Encoded Variable‐Density Single‐Shot Fast Spin Echo Imaging. Journal of Magnetic Resonance Imaging. 47(4). 954–966. 14 indexed citations

19.

Tamir, Jonathan I., Jeffrey L. Young, Martin Uecker, et al.. (2016). Fast comprehensive single‐sequence four‐dimensional pediatric knee MRI with T₂ shuffling. Journal of Magnetic Resonance Imaging. 45(6). 1700–1711. 14 indexed citations

20.

Uecker, Martin, Frank Ong, Jonathan I. Tamir, et al.. (2014). BART: version 0.2.04. Zenodo (CERN European Organization for Nuclear Research). 3 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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