Davood Karimi

1.5k total citations
46 papers, 795 citations indexed

About

Davood Karimi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Plant Science. According to data from OpenAlex, Davood Karimi has authored 46 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pediatrics, Perinatology and Child Health and 11 papers in Plant Science. Recurrent topics in Davood Karimi's work include Advanced Neuroimaging Techniques and Applications (12 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Medical Imaging Techniques and Applications (8 papers). Davood Karimi is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Medical Imaging Techniques and Applications (8 papers). Davood Karimi collaborates with scholars based in Canada, United States and Switzerland. Davood Karimi's co-authors include Ali Gholipour, Simon K. Warfield, Septimiu E. Salcudean, Ladan Fazli, Guy Nir, Peter C. Black, Rabab Ward, Purang Abolmaesumi, Reza Ehsani and Larry Goldenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Human Brain Mapping.

In The Last Decade

Davood Karimi

43 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davood Karimi Canada 14 392 309 176 155 138 46 795
Phillip Chlap Australia 10 359 0.9× 198 0.6× 182 1.0× 117 0.8× 112 0.8× 30 792
Tassilo Klein Germany 12 214 0.5× 160 0.5× 269 1.5× 125 0.8× 35 0.3× 28 632
Anum Masood Pakistan 14 342 0.9× 317 1.0× 118 0.7× 60 0.4× 182 1.3× 54 752
Xiaowei Ding China 5 441 1.1× 364 1.2× 364 2.1× 114 0.7× 67 0.5× 8 825
Saeid Asgari Taghanaki Canada 6 246 0.6× 287 0.9× 340 1.9× 102 0.7× 47 0.3× 8 729
Salman Khan United States 6 299 0.8× 249 0.8× 244 1.4× 131 0.8× 48 0.3× 18 742
Dominik Müller Germany 6 270 0.7× 173 0.6× 141 0.8× 80 0.5× 58 0.4× 16 540
Samir S. Yadav India 7 345 0.9× 330 1.1× 212 1.2× 101 0.7× 44 0.3× 11 822
Guobin Zhang China 16 330 0.8× 105 0.3× 92 0.5× 93 0.6× 339 2.5× 51 916
Ping He China 14 268 0.7× 81 0.3× 40 0.2× 234 1.5× 51 0.4× 51 650

Countries citing papers authored by Davood Karimi

Since Specialization
Citations

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

Fields of papers citing papers by Davood Karimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davood Karimi

This figure shows the co-authorship network connecting the top 25 collaborators of Davood Karimi. A scholar is included among the top collaborators of Davood Karimi 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 Davood Karimi. Davood Karimi 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.
Karimi, Davood, et al.. (2025). HAITCH: A framework for distortion and motion correction in fetal multi-shell diffusion-weighted MRI. Imaging Neuroscience. 3. 4 indexed citations
2.
Warfield, Simon K., et al.. (2025). FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI. NeuroImage. 311. 121190–121190.
3.
Liu, Weide, et al.. (2025). Towards automatic US-MR fetal brain image registration with learning-based methods. NeuroImage. 310. 121104–121104.
4.
Karimi, Davood, Jane Wang, Ladan Fazli, et al.. (2024). Prostate Cancer Risk Stratification by Digital Histopathology and Deep Learning. JCO Clinical Cancer Informatics. 8(8). e2300184–e2300184. 4 indexed citations
5.
Karimi, Davood & Simon K. Warfield. (2024). Diffusion MRI with machine learning. Imaging Neuroscience. 2. 7 indexed citations
6.
7.
Machado‐Rivas, Fedel, Davood Karimi, Clemente Velasco‐Annis, et al.. (2023). Population Atlas Analysis of Emerging Brain Structural Connections in the Human Fetus. Journal of Magnetic Resonance Imaging. 60(1). 152–160. 3 indexed citations
8.
Machado‐Rivas, Fedel, Davood Karimi, Onur Afacan, et al.. (2022). Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation. Human Brain Mapping. 44(4). 1593–1602. 16 indexed citations
9.
Karimi, Davood & Ali Gholipour. (2022). Diffusion tensor estimation with transformer neural networks. Artificial Intelligence in Medicine. 130. 102330–102330. 15 indexed citations
10.
Karimi, Davood, Lana Vasung, Camilo Jaimes, et al.. (2021). Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI. NeuroImage. 239. 118316–118316. 17 indexed citations
11.
Karimi, Davood, Camilo Jaimes, Fedel Machado‐Rivas, et al.. (2021). Deep learning-based parameter estimation in fetal diffusion-weighted MRI. NeuroImage. 243. 118482–118482. 25 indexed citations
12.
Karimi, Davood, Simon K. Warfield, & Ali Gholipour. (2021). Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations. Artificial Intelligence in Medicine. 116. 102078–102078. 97 indexed citations
13.
Karimi, Davood, Prateek Mathur, S. Sara Mahdavi, et al.. (2019). Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images. Medical Image Analysis. 57. 186–196. 86 indexed citations
14.
Samei, Golnoosh, Davood Karimi, Claudia Kesch, et al.. (2018). Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors. International Journal of Computer Assisted Radiology and Surgery. 13(6). 749–757. 24 indexed citations
15.
Karimi, Davood & Rabab Ward. (2016). Patch-based models and algorithms for image processing: a review of the basic principles and methods, and their application in computed tomography. International Journal of Computer Assisted Radiology and Surgery. 11(10). 1765–1777. 12 indexed citations
16.
Karimi, Davood, Pierre Deman, Rabab Ward, & Nancy L. Ford. (2016). A sinogram denoising algorithm for low-dose computed tomography. BMC Medical Imaging. 16(1). 11–11. 10 indexed citations
17.
Karimi, Davood & Rabab Ward. (2015). On the computational implementation of forward and back-projection operations for cone-beam computed tomography. Medical & Biological Engineering & Computing. 54(8). 1193–1204. 7 indexed citations
18.
Karimi, Davood, et al.. (2012). Effect of Using GPS Autosteer Guidance Systems on the Eye-Glance Behavior and Posture of Tractor Operators. Journal of Agricultural Safety and Health. 18(4). 309–318. 4 indexed citations
19.
Tahmoorespur, Mojtaba, et al.. (2009). Association of growth traits with SSCP polymorphisms at the Growth Hormone Receptor (GHR) and Growth Hormone Releasing Hormone Receptor (GHRHR) genes in the Baluchi sheep.. Journal of Animal and Veterinary Advances. 8(6). 1063–1069. 15 indexed citations
20.
Karimi, Davood, Todd A. Mondor, & Danny Mann. (2008). Application of Auditory Signals to the Operation of an Agricultural Vehicle: Results of Pilot Testing. Journal of Agricultural Safety and Health. 14(1). 71–78. 5 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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