Parham Geramifar

2.2k total citations
109 papers, 1.4k citations indexed

About

Parham Geramifar is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Parham Geramifar has authored 109 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Biomedical Engineering and 25 papers in Radiation. Recurrent topics in Parham Geramifar's work include Medical Imaging Techniques and Applications (69 papers), Radiomics and Machine Learning in Medical Imaging (38 papers) and Radiopharmaceutical Chemistry and Applications (30 papers). Parham Geramifar is often cited by papers focused on Medical Imaging Techniques and Applications (69 papers), Radiomics and Machine Learning in Medical Imaging (38 papers) and Radiopharmaceutical Chemistry and Applications (30 papers). Parham Geramifar collaborates with scholars based in Iran, Canada and United States. Parham Geramifar's co-authors include Arman Rahmim, Isaac Shiri, Davood Beiki, Mohammad Reza Ay, Hamid Abdollahi, Habib Zaidi, Pardis Ghafarian, Ahmad Bitarafan‐Rajabi, Fatemeh Atyabi and Maliheh Hajiramezanali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Parham Geramifar

100 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
Parham Geramifar Iran 20 946 489 244 237 175 109 1.4k
Bryan Traughber United States 18 480 0.5× 524 1.1× 215 0.9× 210 0.9× 161 0.9× 68 1.5k
Peter R. Seevinck Netherlands 25 1.1k 1.1× 567 1.2× 189 0.8× 336 1.4× 67 0.4× 91 1.9k
Greta S. P. Mok Macao 20 948 1.0× 465 1.0× 74 0.3× 177 0.7× 85 0.5× 129 1.4k
Pengcheng Hu China 21 1.1k 1.1× 534 1.1× 127 0.5× 225 0.9× 138 0.8× 88 1.6k
K. Engin Türkiye 20 234 0.2× 460 0.9× 311 1.3× 194 0.8× 329 1.9× 50 1.6k
Mattijs Elschot Norway 21 1.0k 1.1× 218 0.4× 71 0.3× 614 2.6× 67 0.4× 57 1.6k
Jingying Jiang China 16 425 0.4× 876 1.8× 130 0.5× 309 1.3× 222 1.3× 93 1.7k
Anoja Giles Canada 23 747 0.8× 1.2k 2.4× 39 0.2× 206 0.9× 140 0.8× 57 1.5k
Sergio Dromi United States 11 327 0.3× 697 1.4× 318 1.3× 119 0.5× 135 0.8× 15 1.1k
Martine Franckena Netherlands 25 585 0.6× 1.1k 2.2× 96 0.4× 154 0.6× 116 0.7× 54 1.5k

Countries citing papers authored by Parham Geramifar

Since Specialization
Citations

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

Fields of papers citing papers by Parham Geramifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parham Geramifar

This figure shows the co-authorship network connecting the top 25 collaborators of Parham Geramifar. A scholar is included among the top collaborators of Parham Geramifar 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 Parham Geramifar. Parham Geramifar 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.
Mehnati, Parinaz, et al.. (2024). Precision individual dosimetry in Yttrium-90 transarterial radioembolization in the presence of Au nanoparticles. Radiation Physics and Chemistry. 222. 111888–111888. 3 indexed citations
2.
3.
Sadeghi, Mahdi, et al.. (2024). Personalized dosimetry assessment of [ 177 Lu]Lu-PSMA-617 radioligand therapy in the management of metastatic castration-resistant prostate cancer. International Journal of Radiation Biology. 100(11). 1551–1559. 3 indexed citations
4.
5.
Shiri, Isaac, Jörg van den Hoff, Alireza Kamali‐Asl, et al.. (2023). Radiomics predictive modeling from dual-time-point FDG PET Ki parametric maps: application to chemotherapy response in lymphoma. EJNMMI Research. 13(1). 70–70. 7 indexed citations
6.
Geramifar, Parham, et al.. (2023). Attenuation Correction for Dedicated Cardiac SPECT Imaging Without Using Transmission Data. Molecular Imaging and Radionuclide Therapy. 32(1). 42–53.
7.
Ahmadi, Mahnaz, Mona Khoramjouy, Simin Dadashzadeh, et al.. (2023). Pharmacokinetics and biodistribution studies of [99mTc]-Labeled ZIF-8 nanoparticles to pave the way for image-guided drug delivery and theranostics. Journal of Drug Delivery Science and Technology. 81. 104249–104249. 12 indexed citations
8.
Geramifar, Parham, et al.. (2021). The effect of lithium on radioiodine thyroid tissue ablation. Internatuinal Journal of Radiation Research. 19(4). 1045–1048. 1 indexed citations
9.
Momennezhad, Mehdi, et al.. (2021). PET NEMA IQ Phantom dataset: image reconstruction settings for quantitative PET imaging. SHILAP Revista de lepidopterología. 37. 107231–107231. 7 indexed citations
10.
Ghafarian, Pardis, et al.. (2020). Validation and evaluation of a GATE model for MAMMI PET scanner. 28(1). 33–38.
11.
Kamali‐Asl, Alireza, et al.. (2020). Short-duration dynamic FDG PET imaging: Optimization and clinical application. Physica Medica. 80. 193–200. 19 indexed citations
12.
Hajiramezanali, Maliheh, Fatemeh Atyabi, Mehdi Akhlaghi, et al.. (2019). <p><sup>68</sup>Ga-radiolabeled bombesin-conjugated to trimethyl chitosan-coated superparamagnetic nanoparticles for molecular imaging: preparation, characterization and biological evaluation</p>. International Journal of Nanomedicine. Volume 14. 2591–2605. 49 indexed citations
13.
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
14.
Emami-Ardekani, Alireza, Armaghan Fard‐Esfahani, Babak Fallahi, et al.. (2018). Comparing diagnostic performance of 131I-metaiodobenzylguanidine (131I-MIBG) and 99mTc-hydrazinonicotinyl-Tyr3-Octreotide (99mTc-HYNIC-TOC) in diagnosis and localization of pheochromocytoma and neuroblastoma. 26(2). 68–75. 1 indexed citations
15.
Moghimi, Ali, et al.. (2018). [ 18 F]FDG-Labeled CGPRPPC Peptide Serving as a Small Thrombotic Lesions Probe, Including a Comparison with [ 99m Tc]-Labeled Form. Cancer Biotherapy and Radiopharmaceuticals. 33(10). 438–444. 3 indexed citations
16.
Shahhosseini, Soraya, et al.. (2018). Radiolabeling of Preformed Niosomes with [99mTc]: In Vitro Stability, Biodistribution, and In Vivo Performance. AAPS PharmSciTech. 19(8). 3859–3870. 7 indexed citations
17.
Fallahi, Babak, et al.. (2017). Factors influencing the pattern and intensity of myocardial 18F-FDG uptake in oncologic PET-CT imaging. 25. 52–61. 3 indexed citations
18.
Sheikhzadeh, Peyman, Hamid Sabet, Hossein Ghadiri, et al.. (2017). Development and validation of an accurate GATE model for NeuroPET scanner. Physica Medica. 40. 59–65. 6 indexed citations
19.
Fard‐Esfahani, Armaghan, et al.. (2016). SPINAL CORD METASTASIS FROM TESTICULAR SEMINOMA DETECTED BY F-18 FDG PET/CT STUDY PRIOR TO NEUROLOGICAL SYMPTOMS: AN UNUSUAL PRESENTATION. 24(2). 147–149.
20.
Fallahi, Babak, Davood Beiki, Shahram Oveisgharan, et al.. (2015). Evaluation of 99mTc-TRODAT-1 SPECT in the diagnosis of Parkinson’s disease versus other progressive movement disorders. Annals of Nuclear Medicine. 30(2). 153–162. 22 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bryan Traughber Breakdown of academic impact, for papers by Peter R. Seevinck Breakdown of academic impact, for papers by Greta S. P. Mok Breakdown of academic impact, for papers by Pengcheng Hu Breakdown of academic impact, for papers by K. Engin Breakdown of academic impact, for papers by Mattijs Elschot Breakdown of academic impact, for papers by Jingying Jiang Breakdown of academic impact, for papers by Anoja Giles Breakdown of academic impact, for papers by Sergio Dromi Breakdown of academic impact, for papers by Martine Franckena
Rankless by CCL
2026