Habib Zaidi

21.0k total citations · 3 hit papers
628 papers, 14.2k citations indexed

About

Habib Zaidi is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Habib Zaidi has authored 628 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 563 papers in Radiology, Nuclear Medicine and Imaging, 264 papers in Biomedical Engineering and 134 papers in Radiation. Recurrent topics in Habib Zaidi's work include Medical Imaging Techniques and Applications (447 papers), Radiomics and Machine Learning in Medical Imaging (267 papers) and Advanced X-ray and CT Imaging (252 papers). Habib Zaidi is often cited by papers focused on Medical Imaging Techniques and Applications (447 papers), Radiomics and Machine Learning in Medical Imaging (267 papers) and Advanced X-ray and CT Imaging (252 papers). Habib Zaidi collaborates with scholars based in Switzerland, Netherlands and Iran. Habib Zaidi's co-authors include Hossein Arabi, Arman Rahmim, Isaac Shiri, Mohammad Reza Ay, Marie‐Louise Montandon, Abolfazl Mehranian, Issam El Naqa, Abass Alavi, Amirhossein Sanaat and Nicolas A. Karakatsanis and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Proceedings of the IEEE.

In The Last Decade

Habib Zaidi

579 papers receiving 13.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PET versus SPECT: strengths, limitations and challenges

2008 570 citations Arman Rahmim, Habib Zaidi profile →
Design and performance evaluation of a whole-body Ingenuity TF PET–MRI system

2011 312 citations Habib Zaidi et al. Physics in Medicine and Biology profile →
The promise of artificial intelligence and deep learning in PET and SPECT imaging

2021 176 citations Hossein Arabi, Amirhossein Sanaat et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Habib Zaidi Switzerland	62	11.8k	4.8k	3.1k	2.4k	935	628	14.2k
Dimitris Visvikis France	57	9.4k 0.8×	2.5k 0.5×	2.5k 0.8×	3.2k 1.4×	592 0.6×	377	11.4k
Paul E. Kinahan United States	57	16.0k 1.4×	5.2k 1.1×	3.5k 1.1×	3.7k 1.6×	400 0.4×	382	19.2k
Michael F. McNitt‐Gray United States	56	7.2k 0.6×	3.6k 0.7×	927 0.3×	4.0k 1.7×	531 0.6×	233	9.8k
W. Paul Segars United States	40	5.9k 0.5×	3.1k 0.6×	1.8k 0.6×	1.4k 0.6×	543 0.6×	250	7.1k
Irène Buvat France	60	8.2k 0.7×	2.4k 0.5×	2.3k 0.7×	3.0k 1.3×	270 0.3×	358	14.8k
Aaron Fenster Canada	62	5.5k 0.5×	4.4k 0.9×	2.2k 0.7×	5.4k 2.3×	3.0k 3.2×	538	13.4k
F Yin United States	62	8.3k 0.7×	3.4k 0.7×	8.6k 2.8×	5.8k 2.5×	739 0.8×	636	15.2k
Steve Jiang United States	66	10.5k 0.9×	3.8k 0.8×	11.3k 3.7×	7.4k 3.1×	921 1.0×	372	15.4k
B.M.W. Tsui United States	55	8.4k 0.7×	4.6k 1.0×	2.3k 0.7×	850 0.4×	462 0.5×	336	10.2k
Arman Rahmim United States	49	6.6k 0.6×	2.4k 0.5×	1.2k 0.4×	1.2k 0.5×	311 0.3×	444	9.0k

Countries citing papers authored by Habib Zaidi

Since Specialization

Citations

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

Fields of papers citing papers by Habib Zaidi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habib Zaidi

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

All Works

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20 of 20 papers shown

Hosseini, Seyyed Ali, Ghasem Hajianfar, Stijn Servaes, et al.. (2025). Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies. Cancer Imaging. 25(1). 33–33. 4 indexed citations

Salimi, Yazdan, et al.. (2025). Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images. Clinical Nuclear Medicine. 50(4). 289–300. 5 indexed citations

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

Hajianfar, Ghasem, Mehdi Amini, Mostafa Haghir Chehreghani, et al.. (2025). Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study. European Journal of Nuclear Medicine and Molecular Imaging. 52(8). 3019–3035. 1 indexed citations

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

Salimi, Yazdan, Ghasem Hajianfar, Zahra Mansouri, et al.. (2024). Organomics. Clinical Nuclear Medicine. 49(10). 899–908. 15 indexed citations

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

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

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

10.

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

11.

Zaidi, Habib, et al.. (2021). A tailored approach to abdominoperineal resection for rectal cancer: multicentre analysis of short-term outcomes and impact on oncological survival. Langenbeck s Archives of Surgery. 406(3). 813–819. 1 indexed citations

12.

Amini, Mehdi, Mostafa Nazari, Isaac Shiri, et al.. (2021). Multi-level multi-modality (PET and CT) fusion radiomics: prognostic modeling for non-small cell lung carcinoma. Physics in Medicine and Biology. 66(20). 205017–205017. 49 indexed citations

13.

Mehranian, Abolfazl, Hossein Arabi, & Habib Zaidi. (2016). Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI. NeuroImage. 130. 123–133. 44 indexed citations

14.

Arabi, Hossein, Nikolaos Koutsouvelis, M. Rouzaud, Raymond Miralbell, & Habib Zaidi. (2016). Atlas-guided generation of pseudo-CT images for MRI-only and hybrid PET–MRI-guided radiotherapy treatment planning. Physics in Medicine and Biology. 61(17). 6531–6552. 78 indexed citations

15.

Kamali‐Asl, Alireza, et al.. (2016). Evaluating the Application of Tissue-Specific Dose Kernels Instead of Water Dose Kernels in Internal Dosimetry: A Monte Carlo Study. Cancer Biotherapy and Radiopharmaceuticals. 31(10). 367–379. 23 indexed citations

16.

Boivin, Gaël, et al.. (2014). MRI-guided partial volume correction in brain PET imaging: Comparison of five algorithms. SHILAP Revista de lepidopterología. 3 indexed citations

17.

Abdoli, Mohammad Ali, Rudi Dierckx, & Habib Zaidi. (2013). Contourlet-based active contour model for PET image segmentation. Medical Physics. 40(8). 82507–82507. 37 indexed citations

18.

Vincenti, Gabriella, Alessandra Quercioli, Habib Zaidi, et al.. (2010). Kombinierte Untersuchung der myokardialen Perfusion und koronaren Morphologie für die Identifizierung einer subklinischen koronarer Herzerkrankung (KHK). Nuklearmedizin - NuclearMedicine. 49(5). 173–182. 2 indexed citations

19.

Ay, Mohammad Reza, et al.. (2010). Measurement of scattered radiation in a volumetric 64-slice CT scanner using three experimental techniques. Physics in Medicine and Biology. 55(8). 2269–2280. 18 indexed citations

20.

Séguinot, J., E. Nappi, E. Chesi, et al.. (2004). Novel Geometrical Concept of a High Performance Brain PET Scanner : Principle, Design and Performance Estimates. CERN Bulletin. 29(4). 429–463. 20 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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