Citations per year, relative to Mohammad Reza Ay Mohammad Reza Ay (= 1×)
peers
Sung‐Joon Ye
Countries citing papers authored by Mohammad Reza Ay
Since
Specialization
Citations
This map shows the geographic impact of Mohammad Reza Ay'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 Mohammad Reza Ay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Reza Ay more than expected).
Fields of papers citing papers by Mohammad Reza Ay
This network shows the impact of papers produced by Mohammad Reza Ay. 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 Mohammad Reza Ay. The network helps show where Mohammad Reza Ay may publish in the future.
Co-authorship network of co-authors of Mohammad Reza Ay
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Reza Ay.
A scholar is included among the top collaborators of Mohammad Reza Ay 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 Mohammad Reza Ay. Mohammad Reza Ay is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ghafarian, Pardis, et al.. (2020). Validation and evaluation of a GATE model for MAMMI PET scanner. 28(1). 33–38.
3.
Mahdavi, Seied Rabi, et al.. (2019). A full quantitative analysis of 18 MV photon beam from 2100 C/D-Varian clinical linear accelerator with and without flattening filter. Iranian Journal of radiation research. 17(1). 137–146.1 indexed citations
4.
Ghafarian, Pardis, et al.. (2019). The influence of misregistration between CT and SPECT images on the accuracy of CT-based attenuation correction of cardiac SPECT/CT imaging: Phantom and clinical studies. 27(2). 63–72.8 indexed citations
5.
Shiri, Isaac, et al.. (2018). Resolution Recovery with Pre-Reconstruction Fourier Transforms Filtering for a High Resolution Animal SPECT System. SHILAP Revista de lepidopterología.1 indexed citations
6.
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
7.
Ghafarian, Pardis, et al.. (2018). The influence of using different reconstruction algorithms on sensitivity of quantitative 18F-FDG-PET volumetric measures to background activity variation. 26(2). 87–97.3 indexed citations
8.
Ay, Mohammad Reza, et al.. (2017). New approach for calibration of pixelated scintillation detectors of intraoperative gamma cameras. 25(1). 34–42.3 indexed citations
9.
Raisali, Gholamreza, et al.. (2017). Collimator-detector response compensation in molecular SPECT reconstruction using STIR framework. 25(1). 26–34.6 indexed citations
10.
Fatemizadeh, Emad, et al.. (2015). Cardiac Contraction Motion Correction in Gated Myocardial Perfusion SPECT Projection Domain. SHILAP Revista de lepidopterología.3 indexed citations
11.
Shekari, Mahnaz, et al.. (2015). Optimizing Image Reconstruction Parameters in Time of Flight PET/CT Imaging: a Phantom Study. SHILAP Revista de lepidopterología. 2(3). 146–154.3 indexed citations
12.
Ghafarian, Pardis, et al.. (2015). The Impact of Point Spread Function Modeling on Scan Duration in PET Imaging. SHILAP Revista de lepidopterología. 2(3). 137–145.1 indexed citations
13.
Ghafarian, Pardis & Mohammad Reza Ay. (2014). The Influence of PET and CT Misalignment due to Respiratory Motion on the Cardiac PET/CT Imaging: a Simulation Study. SHILAP Revista de lepidopterología.1 indexed citations
14.
Kamali‐Asl, Alireza, et al.. (2014). How Gamma Camera's Head-Tilts Affect Image Quality of a Nuclear Scintigram?. SHILAP Revista de lepidopterología. 1(4). 265–270.2 indexed citations
15.
Ghafarian, Pardis, Mohammad Reza Ay, Armaghan Fard‐Esfahani, Arman Rahmim, & Habib Zaidi. (2014). Quantification of PET and CT Misalignment Errors Due to Bulk Motion in Cardiac PET/CT Imaging: Phantom and Clinical Studies. SHILAP Revista de lepidopterología. 1(3). 159–167.1 indexed citations
16.
Pashazadeh, Ali, et al.. (2014). Experimental Evaluation of the Performance of HiReSPECT Scanner: a High-Resolution SPECT System for Small Animal Imaging. SHILAP Revista de lepidopterología. 1(3). 222–227.8 indexed citations
17.
Allahverdi, M., et al.. (2011). Monte Carlo estimation of electron contamination in a 18 MV clinical photon beam. Iranian Journal of radiation research. 9(1). 15–28.7 indexed citations
18.
Ay, Mohammad Reza, et al.. (2010). Safety and diagnostic performance of dual-source CT scan in comparison with single source CT scan and conventional angiography in coronary heart diseases. SHILAP Revista de lepidopterología. 9(1234). 25–32.1 indexed citations
19.
Abdoli, Mohammad Ali, Mohammad Reza Ay, Alireza Ahmadian, Rudi Dierckx, & Habib Zaidi. (2010). Optimization of weighted virtual sinogram-based metal artifact reduction in CT-based attenuation correction of PET data using a genetic algorithm. European Journal of Nuclear Medicine and Molecular Imaging. 37.
20.
Alam, Nader Riahi, et al.. (2009). Verifying the accuracy of dose distribution in Gamma Knife unit in presence of inhomogeneities using PAGAT polymer gel dosimeter and MC simulation. Iranian Journal of radiation research. 7(1). 49–55.4 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.