Samaneh Kazemifar

506 total citations
9 papers, 374 citations indexed

About

Samaneh Kazemifar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Samaneh Kazemifar has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Samaneh Kazemifar's work include Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Functional Brain Connectivity Studies (2 papers). Samaneh Kazemifar is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Functional Brain Connectivity Studies (2 papers). Samaneh Kazemifar collaborates with scholars based in United States, Canada and Belgium. Samaneh Kazemifar's co-authors include Steve Jiang, Amir Owrangi, Dan Nguyen, Robert Timmerman, Anjali Balagopal, Sarah McGuire, Raquibul Hannan, Yang Park, Mu‐Han Lin and Zabi Wardak and has published in prestigious journals such as PLoS ONE, Physics in Medicine and Biology and Radiotherapy and Oncology.

In The Last Decade

Samaneh Kazemifar

9 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samaneh Kazemifar United States	8	232	135	105	86	67	9	374
Zhenhui Dai China	11	267 1.2×	106 0.8×	127 1.2×	52 0.6×	80 1.2×	34	464
Derek Wells Canada	9	247 1.1×	250 1.9×	222 2.1×	40 0.5×	81 1.2×	28	492
Zhaohui Zhu China	9	234 1.0×	38 0.3×	72 0.7×	81 0.9×	34 0.5×	25	442
Tong Shan United States	7	269 1.2×	95 0.7×	100 1.0×	44 0.5×	22 0.3×	24	372
Thomas Schlossbauer Germany	10	224 1.0×	54 0.4×	60 0.6×	33 0.4×	84 1.3×	25	347
Alireza Karimian Iran	12	212 0.9×	93 0.7×	76 0.7×	153 1.8×	90 1.3×	68	530
Mónica Abella Spain	10	338 1.5×	124 0.9×	235 2.2×	31 0.4×	20 0.3×	50	419
Sepideh Hatamikia Austria	13	176 0.8×	73 0.5×	171 1.6×	57 0.7×	76 1.1×	49	419
Hugues Benoit-Cattin France	8	158 0.7×	29 0.2×	49 0.5×	116 1.3×	35 0.5×	18	330

Countries citing papers authored by Samaneh Kazemifar

Since Specialization

Citations

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

Fields of papers citing papers by Samaneh Kazemifar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samaneh Kazemifar

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

All Works

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9 of 9 papers shown

Li, Wen, Samaneh Kazemifar, Ti Bai, et al.. (2021). Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning. Biomedical Physics & Engineering Express. 7(2). 25020–25020. 17 indexed citations

Kazemifar, Samaneh, Ana María Barragán Montero, Kevin Souris, et al.. (2020). Dosimetric evaluation of synthetic CT generated with GANs for MRI‐only proton therapy treatment planning of brain tumors. Journal of Applied Clinical Medical Physics. 21(5). 76–86. 42 indexed citations

Kazemifar, Samaneh, et al.. (2019). Semiautomated Assessment of the Anterior Cingulate Cortex in Alzheimer's Disease. Journal of Neuroimaging. 29(3). 376–382. 8 indexed citations

Kazemifar, Samaneh, Sarah McGuire, Robert Timmerman, et al.. (2019). MRI-only brain radiotherapy: Assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach. Radiotherapy and Oncology. 136. 56–63. 119 indexed citations

Balagopal, Anjali, Samaneh Kazemifar, Dan Nguyen, et al.. (2018). Fully automated organ segmentation in male pelvic CT images. Physics in Medicine and Biology. 63(24). 245015–245015. 104 indexed citations

Iqbal, Zohaib, Da Luo, Peter Henry, et al.. (2018). Accurate real time localization tracking in a clinical environment using Bluetooth Low Energy and deep learning. PLoS ONE. 13(10). e0205392–e0205392. 47 indexed citations

Kazemifar, Samaneh, Kathryn Y. Manning, Nagalingam Rajakumar, et al.. (2017). Spontaneous low frequency BOLD signal variations from resting-state fMRI are decreased in Alzheimer disease. PLoS ONE. 12(6). e0178529–e0178529. 21 indexed citations

Kazemifar, Samaneh, et al.. (2014). Automated algorithm to measure changes in medial temporal lobe volume in Alzheimer disease. Journal of Neuroscience Methods. 227. 35–46. 14 indexed citations

Kazemifar, Samaneh & Reza Boostani. (2013). An Efficient Adaptive Segmentation Algorithm on EEG Signals to Discriminate between Subject with Epilepsy and Normal Control. International Review on Computers and Software (IRECOS). 8(1). 256–261. 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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