Rafeef Garbi

503 total citations
14 papers, 182 citations indexed

About

Rafeef Garbi is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rafeef Garbi has authored 14 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Surgery and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rafeef Garbi's work include Hip disorders and treatments (5 papers), Orthopaedic implants and arthroplasty (4 papers) and COVID-19 diagnosis using AI (4 papers). Rafeef Garbi is often cited by papers focused on Hip disorders and treatments (5 papers), Orthopaedic implants and arthroplasty (4 papers) and COVID-19 diagnosis using AI (4 papers). Rafeef Garbi collaborates with scholars based in Canada and Iran. Rafeef Garbi's co-authors include Ghassan Hamarneh, Antony J. Hodgson, Mohammad Arafat Hussain, Pierre Guy, Kishore Mulpuri, Chendi Wang, Bernard Ng, Ali Asghar Neshat, Anthony Cooper and Mohammad Momeny and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Ultrasound in Medicine & Biology and Computerized Medical Imaging and Graphics.

In The Last Decade

Rafeef Garbi

13 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rafeef Garbi Canada	8	78	64	63	61	28	14	182
Yan-Jie Zhou China	9	41 0.5×	72 1.1×	105 1.7×	62 1.0×	13 0.5×	25	224
Maria Antico Australia	9	102 1.3×	87 1.4×	98 1.6×	57 0.9×	30 1.1×	25	262
Loïc Le Folgoc United Kingdom	6	73 0.9×	18 0.3×	40 0.6×	64 1.0×	39 1.4×	10	166
René Donner Austria	9	53 0.7×	43 0.7×	122 1.9×	89 1.5×	35 1.3×	23	298
Yusuke Kurose Japan	10	56 0.7×	70 1.1×	66 1.0×	63 1.0×	45 1.6×	25	226
Amir Alansary United States	9	119 1.5×	27 0.4×	59 0.9×	121 2.0×	80 2.9×	17	319
María Helguera United States	10	125 1.6×	27 0.4×	121 1.9×	57 0.9×	16 0.6×	38	316
Marko Rak Germany	10	95 1.2×	45 0.7×	124 2.0×	89 1.5×	37 1.3×	21	246
Xindi Hu China	5	97 1.2×	30 0.5×	44 0.7×	114 1.9×	83 3.0×	12	267
Manasi Datar United States	10	54 0.7×	54 0.8×	58 0.9×	82 1.3×	48 1.7×	16	238

Countries citing papers authored by Rafeef Garbi

Since Specialization

Citations

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

Fields of papers citing papers by Rafeef Garbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafeef Garbi

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

All Works

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14 of 14 papers shown

Mulpuri, Kishore, et al.. (2025). SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip. Ultrasound in Medicine & Biology. 51(5). 751–758. 2 indexed citations

Hamarneh, Ghassan, et al.. (2024). Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images. 4128–4138.

Hamarneh, Ghassan, et al.. (2024). GC²: Generalizable Continual Classification of Medical Images. IEEE Transactions on Medical Imaging. 43(11). 3767–3779. 5 indexed citations

Hussain, Mohammad Arafat, Zahra Mirikharaji, Mohammad Momeny, et al.. (2022). Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. Computerized Medical Imaging and Graphics. 102. 102127–102127. 16 indexed citations

Hamarneh, Ghassan, et al.. (2022). BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 528–538. 4 indexed citations

Hodgson, Antony J., et al.. (2021). Automatically Delineating Key Anatomy in 3-D Ultrasound Volumes for Hip Dysplasia Screening. Ultrasound in Medicine & Biology. 47(9). 2713–2722. 8 indexed citations

Hodgson, Antony J., et al.. (2021). Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip. International Journal of Computer Assisted Radiology and Surgery. 16(7). 1121–1129. 5 indexed citations

Hussain, Mohammad Arafat, Ghassan Hamarneh, & Rafeef Garbi. (2021). Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging. Computerized Medical Imaging and Graphics. 90. 101924–101924. 17 indexed citations

Hussain, Mohammad Arafat, Ghassan Hamarneh, & Rafeef Garbi. (2021). Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. IEEE Transactions on Medical Imaging. 40(6). 1555–1567. 36 indexed citations

10.

Guy, Pierre, et al.. (2020). Ultrasound Bone Segmentation: A Scoping Review of Techniques and Validation Practices. Ultrasound in Medicine & Biology. 46(4). 921–935. 29 indexed citations

11.

Hodgson, Antony J., et al.. (2020). 3-D Ultrasound Imaging Reliability of Measuring Dysplasia Metrics in Infants. Ultrasound in Medicine & Biology. 47(1). 139–153. 10 indexed citations

12.

Mulpuri, Kishore, et al.. (2019). Shadow Peak: Accurate Real-time Bone Segmentation for Ultrasound and Developmental Dysplasia of the Hip. 4 indexed citations

13.

Wang, Chendi, Bernard Ng, & Rafeef Garbi. (2018). Multimodal Brain Parcellation Based on Functional and Anatomical Connectivity. Brain Connectivity. 8(10). 604–617. 10 indexed citations

14.

Hodgson, Antony J., et al.. (2018). Augmented reality visualisation for orthopaedic surgical guidance with pre‐ and intra‐operative multimodal image data fusion. Healthcare Technology Letters. 5(5). 189–193. 36 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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