Rahele Kafieh

2.4k total citations
87 papers, 1.4k citations indexed

About

Rahele Kafieh is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Ophthalmology. According to data from OpenAlex, Rahele Kafieh has authored 87 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 42 papers in Biomedical Engineering and 40 papers in Ophthalmology. Recurrent topics in Rahele Kafieh's work include Retinal Imaging and Analysis (50 papers), Optical Coherence Tomography Applications (36 papers) and Glaucoma and retinal disorders (30 papers). Rahele Kafieh is often cited by papers focused on Retinal Imaging and Analysis (50 papers), Optical Coherence Tomography Applications (36 papers) and Glaucoma and retinal disorders (30 papers). Rahele Kafieh collaborates with scholars based in Iran, United Kingdom and United States. Rahele Kafieh's co-authors include Hossein Rabbani, Milan Sonka, Saeed Kermani, Michael D. Abràmoff, Zahra Amini, Fedra Hajizadeh, Ivan Selesnick, Shervin Minaee, Mahnaz Etehadtavakol and Rassoul Amirfattahi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Rahele Kafieh

82 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahele Kafieh Iran 18 1.0k 586 555 306 133 87 1.4k
Bryan M. Williams United Kingdom 14 577 0.6× 410 0.7× 224 0.4× 354 1.2× 112 0.8× 63 1.1k
Behdad Dashtbozorg Netherlands 17 1.1k 1.1× 735 1.3× 147 0.3× 479 1.6× 79 0.6× 69 1.3k
Qiaoliang Li China 14 599 0.6× 329 0.6× 132 0.2× 448 1.5× 99 0.7× 49 985
Debdoot Sheet India 16 751 0.7× 343 0.6× 371 0.7× 650 2.1× 329 2.5× 80 1.4k
Ali Mahloojifar Iran 13 783 0.8× 149 0.3× 493 0.9× 211 0.7× 79 0.6× 47 1.1k
Malaya Kumar Nath India 21 534 0.5× 309 0.5× 107 0.2× 493 1.6× 375 2.8× 67 1.3k
Alan Fleming United Kingdom 23 2.0k 1.9× 1.2k 2.0× 132 0.2× 407 1.3× 58 0.4× 46 2.6k
Kristen M. Meiburger Italy 24 582 0.6× 31 0.1× 339 0.6× 274 0.9× 332 2.5× 90 1.5k

Countries citing papers authored by Rahele Kafieh

Since Specialization
Citations

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

Fields of papers citing papers by Rahele Kafieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahele Kafieh

This figure shows the co-authorship network connecting the top 25 collaborators of Rahele Kafieh. A scholar is included among the top collaborators of Rahele Kafieh 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 Rahele Kafieh. Rahele Kafieh 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.
Suwan, Yanin, et al.. (2025). Association of myopia and parapapillary choroidal microvascular density in primary open-angle glaucoma. PLoS ONE. 20(2). e0317881–e0317881.
2.
Amini, Zahra, et al.. (2024). Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study. Multiple Sclerosis and Related Disorders. 87. 105642–105642. 3 indexed citations
3.
Ashtari, Fereshteh, et al.. (2023). Deep learning and classic machine learning models in the automatic diagnosis of multiple sclerosis using retinal vessels. Multimedia Tools and Applications. 83(13). 37483–37504. 2 indexed citations
4.
Rabbani, Hossein, Fereshteh Ashtari, Hanna Zimmermann, et al.. (2023). Discrimination of multiple sclerosis using OCT images from two different centers. Multiple Sclerosis and Related Disorders. 77. 104846–104846. 9 indexed citations
5.
Nazari, Behzad, Saeed Sadri, Elias Khalili Pour, et al.. (2023). CNV-Net: Segmentation, Classification and Activity Score Measurement of Choroidal Neovascularization (CNV) Using Optical Coherence Tomography Angiography (OCTA). Diagnostics. 13(7). 1309–1309. 11 indexed citations
6.
Kafieh, Rahele, et al.. (2023). A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. Scientific Reports. 13(1). 22582–22582. 2 indexed citations
7.
Amini, Zahra, et al.. (2023). An Unsupervised Feature Extraction Method based on CLSTM-AE for Accurate P300 Classification in Brain-Computer Interface Systems. Journal of Biomedical Physics and Engineering. 14(6). 579–592. 1 indexed citations
8.
Riazi‐Esfahani, Hamid, et al.. (2023). Application of ImageJ in Optical Coherence Tomography Angiography (OCT‐A): A Literature Review. Journal of Ophthalmology. 2023(1). 9479183–9479183. 8 indexed citations
9.
Riazi‐Esfahani, Hamid, Hooshang Faghihi, Ahmad Mirshahi, et al.. (2023). Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low-Contrast Sclerochoroidal Junction Using Deep Learning. Photonics. 10(3). 234–234. 4 indexed citations
10.
Amini, Zahra, Elias Khalili Pour, Hamid Riazi‐Esfahani, et al.. (2022). A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying TV-Unet for RPE Layer Detection. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 4 indexed citations
11.
Amini, Zahra, et al.. (2022). An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems. SHILAP Revista de lepidopterología. 44(4). 270–280.
12.
Amini, Zahra, et al.. (2022). An Interpretable Convolutional Neural Network for P300 Detection: Analysis of Time Frequency Features for Limited Data. IEEE Sensors Journal. 22(9). 8685–8692. 10 indexed citations
13.
Kafieh, Rahele, et al.. (2022). Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-Net. Physical and Engineering Sciences in Medicine. 45(3). 925–934. 12 indexed citations
14.
Kafieh, Rahele, et al.. (2022). A Dual-Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images. IEEE Transactions on Instrumentation and Measurement. 71. 1–8. 22 indexed citations
15.
Suwan, Yanin, Masoud Aghsaei Fard, Apichat Tantraworasin, et al.. (2022). Parapapillary choroidal microvascular density in acute primary angle-closure and primary open-angle glaucoma: an optical coherence tomography angiography study. British Journal of Ophthalmology. 107(10). 1438–1443. 5 indexed citations
16.
Kafieh, Rahele, et al.. (2021). A Lightweight Mimic Convolutional Auto-Encoder for Denoising Retinal Optical Coherence Tomography Images. IEEE Transactions on Instrumentation and Measurement. 70. 1–8. 32 indexed citations
17.
Minaee, Shervin, et al.. (2021). COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet. PUBLISSO (German National Library of Medicine). 83 indexed citations
18.
Kafieh, Rahele, et al.. (2020). Isfahan and Covid-19: Deep spatiotemporal representation. Chaos Solitons & Fractals. 141. 110339–110339. 4 indexed citations
19.
Oghli, Mostafa Ghelich, et al.. (2018). A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition. Physica Medica. 54. 103–116. 10 indexed citations
20.
Kafieh, Rahele, et al.. (2013). New Algorithm to Detect Moving Target in an Image with Variable and Complex Background Using Wavelet Transform. International Journal of Computer Theory and Engineering. 71–76. 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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