Yazdan Salimi

1.3k total citations
69 papers, 636 citations indexed

About

Yazdan Salimi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yazdan Salimi has authored 69 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Biomedical Engineering and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yazdan Salimi's work include Medical Imaging Techniques and Applications (41 papers), Advanced X-ray and CT Imaging (41 papers) and Radiomics and Machine Learning in Medical Imaging (38 papers). Yazdan Salimi is often cited by papers focused on Medical Imaging Techniques and Applications (41 papers), Advanced X-ray and CT Imaging (41 papers) and Radiomics and Machine Learning in Medical Imaging (38 papers). Yazdan Salimi collaborates with scholars based in Switzerland, Netherlands and Denmark. Yazdan Salimi's co-authors include Habib Zaidi, Isaac Shiri, Hossein Arabi, Azadeh Akhavanallaf, Amirhossein Sanaat, Zahra Mansouri, Arman Rahmim, Ghasem Hajianfar, Hamid Abdollahi and Dariush Askari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Human Brain Mapping.

In The Last Decade

Yazdan Salimi

61 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yazdan Salimi Switzerland 16 541 282 97 87 75 69 636
Azadeh Akhavanallaf Switzerland 13 528 1.0× 252 0.9× 108 1.1× 61 0.7× 143 1.9× 29 626
Saikit Lam Hong Kong 17 488 0.9× 143 0.5× 198 2.0× 133 1.5× 173 2.3× 53 749
Reza Reiazi Iran 13 298 0.6× 83 0.3× 97 1.0× 111 1.3× 43 0.6× 36 399
Miaofei Han China 11 347 0.6× 93 0.3× 103 1.1× 134 1.5× 73 1.0× 16 481
Siu Ki Yu Hong Kong 11 380 0.7× 62 0.2× 149 1.5× 120 1.4× 127 1.7× 40 471
Ehsan Abadi United States 15 747 1.4× 579 2.1× 165 1.7× 59 0.7× 98 1.3× 108 880
Chayanin Nitiwarangkul Thailand 7 447 0.8× 236 0.8× 144 1.5× 55 0.6× 19 0.3× 20 562
Florian Prayer Austria 11 413 0.8× 127 0.5× 240 2.5× 100 1.1× 18 0.2× 36 646
Johannes Hofmanninger Austria 11 385 0.7× 96 0.3× 229 2.4× 129 1.5× 21 0.3× 14 564
Ruhani Doda Khera United States 9 448 0.8× 282 1.0× 98 1.0× 33 0.4× 26 0.3× 14 525

Countries citing papers authored by Yazdan Salimi

Since Specialization
Citations

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

Fields of papers citing papers by Yazdan Salimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yazdan Salimi

This figure shows the co-authorship network connecting the top 25 collaborators of Yazdan Salimi. A scholar is included among the top collaborators of Yazdan Salimi 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 Yazdan Salimi. Yazdan Salimi 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.
Salimi, Yazdan, Isaac Shiri, Zahra Mansouri, et al.. (2025). Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study. European Journal of Nuclear Medicine and Molecular Imaging. 52(7). 2513–2528. 1 indexed citations
2.
Salimi, Yazdan, et al.. (2025). Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images. Physica Medica. 130. 104911–104911. 5 indexed citations
3.
Tournier, Benjamin B., Yazdan Salimi, Kelly Ceyzériat, et al.. (2025). Radiation dosimetry of the 18 kDa translocator protein ligand [18F]PBR111 in humans. Nuclear Medicine and Biology. 144-145. 109011–109011.
4.
Mansouri, Zahra, et al.. (2025). CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative 90Y-SPECT imaging for improved dose calculation using deep learning. European Journal of Nuclear Medicine and Molecular Imaging. 52(9). 3484–3499. 2 indexed citations
5.
Salimi, Yazdan, et al.. (2025). Deep Learning-Based CT-Less Cardiac Segmentation of PET Images: A Robust Methodology for Multi-Tracer Nuclear Cardiovascular Imaging. Journal of Imaging Informatics in Medicine. 39(1). 933–947. 3 indexed citations
6.
Mansouri, Zahra, Yazdan Salimi, Nikolaos Koutsouvelis, & Habib Zaidi. (2025). Evaluation of end-to-end 3D absorbed dose distribution in 90Y-SIRT and SBRT combination therapy using MAGIC-f polymer gel dosimeter. European Journal of Nuclear Medicine and Molecular Imaging. 53(2). 1313–1330.
7.
Shiri, Isaac, Behrooz Razeghi, Yazdan Salimi, et al.. (2024). PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. Journal of Biomedical Informatics. 150. 104583–104583. 5 indexed citations
8.
Salimi, Yazdan, Ghasem Hajianfar, Zahra Mansouri, et al.. (2024). Organomics. Clinical Nuclear Medicine. 49(10). 899–908. 15 indexed citations
9.
Salimi, Yazdan, Wenbing Lv, Hongwen Chen, et al.. (2024). Artificial intelligence-based joint attenuation and scatter correction strategies for multi-tracer total-body PET. EJNMMI Physics. 11(1). 66–66.
10.
Deevband, Mohammad Reza, Yazdan Salimi, Niloofar Deravi, et al.. (2024). Introducing fitting models for estimating age‐specific dose and effective dose in paediatric patients undergoing head, chest and abdomen–pelvis imaging protocols: a patient study. Journal of Medical Radiation Sciences. 71(2). 251–260.
11.
Salimi, Yazdan, et al.. (2024). Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning. Medical Physics. 51(6). 4095–4104. 5 indexed citations
12.
Sanaat, Amirhossein, Yiyi Hu, Cecilia Boccalini, et al.. (2024). Tracer-Separator. Clinical Nuclear Medicine. 50(1). 1–10. 2 indexed citations
13.
Amini, Mehdi, Yazdan Salimi, Ghasem Hajianfar, et al.. (2024). Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans. Clinical Nuclear Medicine. 49(12). 1079–1090. 1 indexed citations
14.
Salimi, Yazdan, et al.. (2024). Explainable AI for automated respiratory misalignment detection in PET/CT imaging. Physics in Medicine and Biology. 69(21). 215036–215036. 1 indexed citations
15.
Shiri, Isaac, Mehdi Amini, Fereshteh Yousefirizi, et al.. (2023). Information fusion for fully automated segmentation of head and neck tumors from PET and CT images. Medical Physics. 51(1). 319–333. 11 indexed citations
16.
Shiri, Isaac, Behrooz Razeghi, Alireza Vafaei Sadr, et al.. (2023). Multi-institutional PET/CT image segmentation using federated deep transformer learning. Computer Methods and Programs in Biomedicine. 240. 107706–107706. 14 indexed citations
17.
Shiri, Isaac, Yazdan Salimi, Amirhossein Sanaat, et al.. (2023). Artificial Intelligence–Driven Single-Shot PET Image Artifact Detection and Disentanglement. Clinical Nuclear Medicine. 48(12). 1035–1046. 6 indexed citations
18.
Shiri, Isaac, Alireza Vafaei Sadr, Mehdi Amini, et al.. (2022). Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework. Clinical Nuclear Medicine. 47(7). 606–617. 36 indexed citations
19.
Salimi, Yazdan, Mohammad Reza Deevband, Pardis Ghafarian, & Mohammad Reza Ay. (2018). Uncertainties in effective dose estimation for CT transmission scan in total body PET-CT imaging with Auto mA3D tube current modulation. Iranian Journal of radiation research. 16(4). 465–472. 5 indexed citations
20.

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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