Mohammad Golbabaee

895 total citations
36 papers, 260 citations indexed

About

Mohammad Golbabaee is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Mohammad Golbabaee has authored 36 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Signal Processing. Recurrent topics in Mohammad Golbabaee's work include Sparse and Compressive Sensing Techniques (18 papers), Advanced MRI Techniques and Applications (12 papers) and Blind Source Separation Techniques (9 papers). Mohammad Golbabaee is often cited by papers focused on Sparse and Compressive Sensing Techniques (18 papers), Advanced MRI Techniques and Applications (12 papers) and Blind Source Separation Techniques (9 papers). Mohammad Golbabaee collaborates with scholars based in United Kingdom, Switzerland and Germany. Mohammad Golbabaee's co-authors include Pierre Vandergheynst, Mike E. Davies, Volkan Cevher, Hervé Bourlard, Afsaneh Asaei, Marion I. Menzel, Junqi Tang, Simon Arberet, Pedro A. Gómez and Samuel Vaiter and has published in prestigious journals such as IEEE Transactions on Information Theory, Magnetic Resonance in Medicine and Medical Physics.

In The Last Decade

Mohammad Golbabaee

35 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Golbabaee United Kingdom 10 129 86 58 44 40 36 260
Caroline Chaux France 10 124 1.0× 36 0.4× 51 0.9× 264 6.0× 51 1.3× 27 390
Andrzej K. Brodzik United States 9 27 0.2× 30 0.3× 35 0.6× 55 1.3× 59 1.5× 28 279
Jingfei He China 9 152 1.2× 119 1.4× 14 0.2× 75 1.7× 54 1.4× 40 351
Claire Boyer France 7 128 1.0× 76 0.9× 18 0.3× 37 0.8× 56 1.4× 17 211
Paul Hand United States 8 99 0.8× 26 0.3× 28 0.5× 78 1.8× 31 0.8× 19 211
Ashish Bora United States 5 60 0.5× 136 1.6× 21 0.4× 94 2.1× 40 1.0× 6 274
José Luis Romero Austria 10 47 0.4× 21 0.2× 50 0.9× 98 2.2× 18 0.5× 37 271
Subhojit Som United States 7 108 0.8× 63 0.7× 62 1.1× 241 5.5× 52 1.3× 12 448
Damir Seršić Croatia 10 72 0.6× 31 0.4× 64 1.1× 150 3.4× 45 1.1× 53 281
Peiyao Wang China 3 74 0.6× 42 0.5× 23 0.4× 277 6.3× 65 1.6× 4 381

Countries citing papers authored by Mohammad Golbabaee

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Golbabaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Golbabaee

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Golbabaee. A scholar is included among the top collaborators of Mohammad Golbabaee 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 Mohammad Golbabaee. Mohammad Golbabaee 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.
Golbabaee, Mohammad, et al.. (2023). Joint radial trajectory correction for accelerated T2* mapping on an MR‐Linac. Medical Physics. 50(11). 7027–7038. 1 indexed citations
2.
Golbabaee, Mohammad, et al.. (2023). EEG-based BCI Dataset of Semantic Concepts for Imagination and Perception Tasks. Scientific Data. 10(1). 386–386. 11 indexed citations
3.
Menzel, Marion I., et al.. (2023). Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI. Pure (University of Bath). 1–4. 1 indexed citations
4.
Chen, Dongdong, Mike E. Davies, & Mohammad Golbabaee. (2022). Deep Unrolling for Magnetic Resonance Fingerprinting. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 6 indexed citations
5.
Kofler, Florian, Mohammad Golbabaee, Pedro A. Gómez, et al.. (2021). Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging. Neuroradiology. 63(11). 1831–1851. 18 indexed citations
6.
Tang, Junqi, Karen Egiazarian, Mohammad Golbabaee, & Mike E. Davies. (2020). The Practicality of Stochastic Optimization in Imaging Inverse Problems. IEEE Transactions on Computational Imaging. 6. 1471–1485. 14 indexed citations
7.
Golbabaee, Mohammad, Guido Buonincontri, Marion I. Menzel, et al.. (2020). Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks. Medical Image Analysis. 69. 101945–101945. 16 indexed citations
8.
Chen, Dongdong, Mohammad Golbabaee, Pedro A. Gómez, Marion I. Menzel, & Mike E. Davies. (2019). Deep Fully Convolutional Network for MR Fingerprinting. Edinburgh Research Explorer. 1 indexed citations
9.
Golbabaee, Mohammad, et al.. (2019). Deep MR Fingerprinting with total-variation and low-rank subspace priors. arXiv (Cornell University). 2 indexed citations
10.
Gómez, Pedro A., Mohammad Golbabaee, Zaid Bin Mahbub, et al.. (2019). Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: An alternative to conventional spiral MR Fingerprinting. Magnetic Resonance Imaging. 61. 20–32. 9 indexed citations
11.
Golbabaee, Mohammad & Mike E. Davies. (2018). Inexact Gradient Projection and Fast Data Driven Compressed Sensing. IEEE Transactions on Information Theory. 64(10). 6707–6721. 9 indexed citations
12.
Golbabaee, Mohammad, Dongdong Chen, Pedro A. Gómez, Marion I. Menzel, & Mike E. Davies. (2018). A deep learning approach for Magnetic Resonance Fingerprinting.. arXiv (Cornell University). 1 indexed citations
13.
Tang, Junqi, Mohammad Golbabaee, Francis Bach, & Mike E. Davies. (2018). Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. University of Birmingham Research Portal (University of Birmingham). 31. 429–440. 3 indexed citations
14.
Aghazadeh, Amirali, Mohammad Golbabaee, Andrew Lan, & Richard G. Baraniuk. (2018). Insense: Incoherent Sensor Selection for Sparse Signals. Edinburgh Research Explorer. 4689–4693. 1 indexed citations
15.
Gómez, Pedro A., Mohammad Golbabaee, Zaid Bin Mahbub, et al.. (2018). Balanced multi-shot EPI for accelerated Cartesian MR Fingerprinting: An alternative to spiral MR Fingerprinting. Edinburgh Research Explorer (University of Edinburgh). 1 indexed citations
16.
Tang, Junqi, Mohammad Golbabaee, & Michael Davies. (2017). Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares. Edinburgh Research Explorer. 3377–3386. 6 indexed citations
17.
Asaei, Afsaneh, Mohammad Golbabaee, Hervé Bourlard, & Volkan Cevher. (2013). Structured Sparse Acoustic Modeling for Speech Separation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
18.
Kobarg, Jan Hendrik, Peter Maaß, Janina Oetjen, et al.. (2013). Numerical experiments with MALDI Imaging data. Advances in Computational Mathematics. 40(3). 667–682. 5 indexed citations
19.
Golbabaee, Mohammad & Pierre Vandergheynst. (2012). Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices. arXiv (Cornell University). 32. 24 indexed citations
20.
Golbabaee, Mohammad, Simon Arberet, & Pierre Vandergheynst. (2010). Multichannel compressed sensing via source separation for hyperspectral images. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1326–1329. 8 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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