Mahmut Yurt

1.0k total citations · 1 hit paper
17 papers, 497 citations indexed

About

Mahmut Yurt is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Mahmut Yurt has authored 17 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Mahmut Yurt's work include Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Mahmut Yurt is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Mahmut Yurt collaborates with scholars based in United States, Türkiye and United Kingdom. Mahmut Yurt's co-authors include Tolga Çukur, Onat Dalmaz, Salman Ul Hassan Dar, Muzaffer Özbey, Kader Karlı Oğuz, Michael Loecher, Daniel B. Ennis, Shreyas Vasanawala, Congyu Liao and Xiaozhi Cao and has published in prestigious journals such as Magnetic Resonance in Medicine, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Mahmut Yurt

16 papers receiving 487 citations

Hit Papers

ResViT: Residual Vision Transformers for Multimodal Medic... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahmut Yurt United States 6 296 202 112 96 42 17 497
Muzaffer Özbey Türkiye 7 294 1.0× 209 1.0× 145 1.3× 89 0.9× 41 1.0× 14 532
Salman Ul Hassan Dar Türkiye 8 276 0.9× 124 0.6× 94 0.8× 86 0.9× 36 0.9× 16 452
Bartłomiej W. Papież United Kingdom 12 258 0.9× 249 1.2× 57 0.5× 112 1.2× 31 0.7× 38 458
Manav Bhushan United Kingdom 3 294 1.0× 415 2.1× 61 0.5× 135 1.4× 21 0.5× 4 622
Onat Dalmaz Türkiye 7 311 1.1× 292 1.4× 197 1.8× 100 1.0× 66 1.6× 17 658
Tahreema Matin United Kingdom 11 380 1.3× 417 2.1× 61 0.5× 151 1.6× 21 0.5× 15 819
Hasan A. Bedel Türkiye 3 224 0.8× 164 0.8× 108 1.0× 60 0.6× 31 0.7× 3 419
Dinggang Shen United States 3 144 0.5× 262 1.3× 79 0.7× 83 0.9× 23 0.5× 5 362
Junyu Chen United States 5 253 0.9× 311 1.5× 139 1.2× 165 1.7× 99 2.4× 6 555

Countries citing papers authored by Mahmut Yurt

Since Specialization
Citations

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

Fields of papers citing papers by Mahmut Yurt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmut Yurt

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

All Works

17 of 17 papers shown
1.
Iyer, Siddharth, Christopher M. Sandino, Mahmut Yurt, et al.. (2025). Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction. Magnetic Resonance Materials in Physics Biology and Medicine. 38(2). 221–237.
2.
Wang, Nan, Congyu Liao, Xiaozhi Cao, et al.. (2024). Rapid and accurate navigators for motion and B0 tracking using QUEEN: Quantitatively enhanced parameter estimation from navigators. Magnetic Resonance in Medicine. 91(5). 2028–2043. 4 indexed citations
3.
Wang, Nan, Congyu Liao, Xiaozhi Cao, et al.. (2024). Spherical echo‐planar time‐resolved imaging (sEPTI) for rapid 3D quantitative T2* and susceptibility imaging. Magnetic Resonance in Medicine. 93(1). 121–137. 1 indexed citations
4.
Zhou, Zihan, Xiaozhi Cao, Congyu Liao, et al.. (2024). Development and validation of a rapid robust 3D-MRF with fast online recon suitable for large-scale neuroscientific and clinical applications. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
5.
Iyer, Siddharth, Mahmut Yurt, Xiaozhi Cao, et al.. (2023). Toward a 1-minute high-resolution brain exam - MR Fingerprinting with fast reconstruction and ML-synthesized contrasts. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
6.
Liao, Congyu, Xiaozhi Cao, Siddharth Iyer, et al.. (2023). Mesoscale myelin-water fraction and T1/T2/PD mapping through optimized 3D ViSTa-MRF and stochastic reconstruction with preconditioning. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
7.
Cao, Xiaozhi, Congyu Liao, Zihan Zhou, et al.. (2023). DTI‐MR fingerprinting for rapid high‐resolution whole‐brain T1, T2, proton density, ADC, and fractional anisotropy mapping. Magnetic Resonance in Medicine. 91(3). 987–1001. 11 indexed citations
8.
Yurt, Mahmut, et al.. (2023). Deep Learning-Based Reconstruction for Cardiac MRI: A Review. Bioengineering. 10(3). 334–334. 27 indexed citations
9.
Cao, Xiaozhi, Congyu Liao, Erpeng Dai, et al.. (2023). 3D Diffusion-prepared MRF (3DM) with cardiac gating for rapid high resolution whole-brain T1, T2, proton density and diffusivity mapping. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
10.
Iyer, Siddharth, Christopher M. Sandino, Mahmut Yurt, et al.. (2023). SMILR - Subspace MachIne Learning Reconstruction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 2 indexed citations
11.
Dalmaz, Onat, Mahmut Yurt, & Tolga Çukur. (2022). ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis. IEEE Transactions on Medical Imaging. 41(10). 2598–2614. 303 indexed citations breakdown →
12.
Yurt, Mahmut, Onat Dalmaz, Salman Ul Hassan Dar, et al.. (2022). Semi-Supervised Learning of MRI Synthesis Without Fully-Sampled Ground Truths. IEEE Transactions on Medical Imaging. 41(12). 3895–3906. 24 indexed citations
13.
Yurt, Mahmut, et al.. (2022). Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery. Medical Image Analysis. 78. 102429–102429. 17 indexed citations
14.
Yurt, Mahmut, et al.. (2021). GRJointNET: Synergistic Completion and Part Segmentation on 3D Incomplete Point Clouds. Bilkent University Institutional Repository (Bilkent University). 1–4. 1 indexed citations
15.
Dar, Salman Ul Hassan, et al.. (2020). Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks. IEEE Journal of Selected Topics in Signal Processing. 14(6). 1072–1087. 99 indexed citations
16.
Yurt, Mahmut & Tolga Çukur. (2020). Multi-Image Super Resolution in Multi-Contrast MRI. 1–4. 1 indexed citations
17.
Yurt, Mahmut, et al.. (2020). Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths.. 2 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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