Julia Velikina

1.1k total citations
27 papers, 834 citations indexed

About

Julia Velikina is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, Julia Velikina has authored 27 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Radiation. Recurrent topics in Julia Velikina's work include Advanced MRI Techniques and Applications (24 papers), Medical Imaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (7 papers). Julia Velikina is often cited by papers focused on Advanced MRI Techniques and Applications (24 papers), Medical Imaging Techniques and Applications (16 papers) and MRI in cancer diagnosis (7 papers). Julia Velikina collaborates with scholars based in United States, Germany and Spain. Julia Velikina's co-authors include Alexey Samsonov, Kevin M. Johnson, Charles A. Mistretta, Walter F. Block, Oliver Wieben, Andrew L. Alexander, Jamie L. Perry, Yan Wu, Yijing Wu and Patrick A. Turski and has published in prestigious journals such as Radiology, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Julia Velikina

26 papers receiving 829 citations

Peers

Julia Velikina
Hans Engels Netherlands
A Deshmane Germany
Peter Speier Germany
Arne Reykowski United States
Debra McGivney United States
Jesse Hamilton United States
Daniel Kim United States
Anthony Christodoulou United States
Hans Engels Netherlands
Julia Velikina
Citations per year, relative to Julia Velikina Julia Velikina (= 1×) peers Hans Engels

Countries citing papers authored by Julia Velikina

Since Specialization
Citations

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

Fields of papers citing papers by Julia Velikina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Velikina. 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 Julia Velikina. The network helps show where Julia Velikina may publish in the future.

Co-authorship network of co-authors of Julia Velikina

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Velikina. A scholar is included among the top collaborators of Julia Velikina 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 Julia Velikina. Julia Velikina 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.
Velikina, Julia, Lu Mao, Ruiyang Zhao, et al.. (2024). Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5 T and 3 T. Magnetic Resonance in Medicine. 93(1). 330–340.
2.
Velikina, Julia, et al.. (2024). Comparative Analysis of Cardiac T1 Mapping Reliability: Free-Breathing Versus Breath-Hold Techniques. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
3.
Velikina, Julia, et al.. (2023). Data adaptive regularization with reference tissue constraints for liver quantitative susceptibility mapping. Magnetic Resonance in Medicine. 90(2). 385–399. 1 indexed citations
4.
Zhao, Ruiyang, Julia Velikina, Scott B. Reeder, et al.. (2022). Validation of liver quantitative susceptibility mapping across imaging parameters at 1.5 T and 3.0 T using SQUID susceptometry as reference. Magnetic Resonance in Medicine. 89(4). 1418–1428. 6 indexed citations
5.
Velikina, Julia, Youngkyoo Jung, Aaron S. Field, & Alexey Samsonov. (2022). High‐resolution dynamic susceptibility contrast perfusion imaging using higher‐order temporal smoothness regularization. Magnetic Resonance in Medicine. 89(1). 112–127. 4 indexed citations
6.
Velikina, Julia, et al.. (2022). The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI. Tomography. 8(3). 1552–1569. 4 indexed citations
7.
Kecskemeti, Steven, Alexey Samsonov, Julia Velikina, et al.. (2018). Robust Motion Correction Strategy for Structural MRI in Unsedated Children Demonstrated with Three-dimensional Radial MPnRAGE. Radiology. 289(2). 509–516. 41 indexed citations
8.
Velikina, Julia & Alexey Samsonov. (2016). New Image Reconstruction Methods for Accelerated Quantitative Parameter Mapping and Magnetic Resonance Angiography. Journal of Physics Conference Series. 677. 12002–12002. 1 indexed citations
9.
Liu, Fang, Julia Velikina, Walter F. Block, Richard Kijowski, & Alexey Samsonov. (2016). Fast Realistic MRI Simulations Based on Generalized Multi-Pool Exchange Tissue Model. IEEE Transactions on Medical Imaging. 36(2). 527–537. 75 indexed citations
10.
Velikina, Julia & Alexey Samsonov. (2014). Reconstruction of dynamic image series from undersampled MRI data using data‐driven model consistency condition (MOCCO). Magnetic Resonance in Medicine. 74(5). 1279–1290. 33 indexed citations
11.
Anderson, Ashley G., Julia Velikina, Oliver Wieben, & Alexey Samsonov. (2011). Retrospective registration-based MRI motion correction with interleaved radial trajectories. 15. 1528–1531. 1 indexed citations
12.
13.
Samsonov, Alexey, Julia Velikina, Youngkyoo Jung, et al.. (2010). POCS-enhanced correction of motion artifacts in parallel MRI. Magnetic Resonance in Medicine. 63(4). 1104–1110. 19 indexed citations
14.
Velikina, Julia, Kevin M. Johnson, Yijing Wu, et al.. (2010). PC HYPR flow: A technique for rapid imaging of contrast dynamics. Journal of Magnetic Resonance Imaging. 31(2). 447–456. 37 indexed citations
15.
Chang, Warren, Kevin M. Johnson, Yijing Wu, et al.. (2010). Velocity Measurements in the Middle Cerebral Arteries of Healthy Volunteers Using 3D Radial Phase-Contrast HYPRFlow: Comparison with Transcranial Doppler Sonography and 2D Phase-Contrast MR Imaging. American Journal of Neuroradiology. 32(1). 54–59. 44 indexed citations
16.
Holmes, James H., Rafael O’Halloran, Ethan K. Brodsky, et al.. (2009). Three‐dimensional imaging of ventilation dynamics in asthmatics using multiecho projection acquisition with constrained reconstruction. Magnetic Resonance in Medicine. 62(6). 1543–1556. 25 indexed citations
17.
Johnson, Kevin M., et al.. (2008). Improved waveform fidelity using local HYPR reconstruction (HYPR LR). Magnetic Resonance in Medicine. 59(3). 456–462. 59 indexed citations
18.
Kecskemeti, Steven, et al.. (2008). Simulation of relative temporal resolution of time‐resolved MRA sequences. Magnetic Resonance in Medicine. 60(2). 398–404. 14 indexed citations
19.
Velikina, Julia, Shuai Leng, & Guang-Hong Chen. (2007). Limited view angle tomographic image reconstruction via total variation minimization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6510. 651020–651020. 35 indexed citations
20.
Mistretta, Charles A., Oliver Wieben, Julia Velikina, et al.. (2005). Highly constrained backprojection for time‐resolved MRI. Magnetic Resonance in Medicine. 55(1). 30–40. 219 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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