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Journal of Radiology
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700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Citations : 551

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Articles published in Journal of Radiology have been cited by esteemed scholars and scientists all around the world. Journal of Radiology has got h-index 10, which means every article in Journal of Radiology has got 10 average citations.

Following are the list of articles that have cited the articles published in Journal of Radiology.

  2024 2023 2022 2021 2020 2019 2018 2017 2016

Total published articles

91 97 60 60 21 15 19 44 41

Research, Review articles and Editorials

34 56 20 19 17 8 0 0 0

Research communications, Review communications, Editorial communications, Case reports and Commentary

46 5 2 11 4 1 0 0 0

Conference proceedings

0 0 5 0 0 0 42 88 35

Citations received as per Google Scholar, other indexing platforms and portals

46 48 90 86 74 78 108 103 101
Journal total citations count 551
Journal impact factor 2.99
Journal 5 years impact factor 4.66
Journal cite score 4.52
Journal h-index 10
Journal h-index since 2019 10
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AbidAliBakir, H., & Azeez, A. J. (2018). ASSESSMENT OF PATIENTS DOSE DURING AP PELVIS RADIOGRAPHIC EXAMINATION IN SELECTED HOSPITALS OF AL NAJAF CITY, IRAQ. Theoretical & Applied Science, (9), 45-52.

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Gyan, E. (2020). Optimization of patient radiation protection in digital diagnostic radiography examinations in Ghana (Doctoral dissertation, University of Cape Coast).

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Indrati, R., Daryati, S., Kartikasari, D., Mulyati, S., & Jannah, M. (2021). RADIATION DOSE AND ANATOMICAL INFORMATION IN SACRUM BONE EXAMINATION WITH AP AND AXIAL AP PROJECTIONS. Jurnal Riset Kesehatan, 10(1), 77-83.

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Aweligiba, S. A. (2015). Determination of Doses and Cancer Risk to Patients Undergoing Digital X-Ray Examinations at the Tamale Teaching Hospital (Doctoral dissertation, University of Ghana).

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Sharma, T. A. (2021). Study of B1 Field Distribution for Loop Coil with Different Bending Angles at 3T (Doctoral dissertation, State University of New York at Buffalo).

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Carlton, E. (2020). Study Protocol. Heart, 1586, 106.

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Gaddipati, S. (2021). Design and Numerical Investigation of Rf Transceiver Arrays for 7T MR Imaging in Humans (Doctoral dissertation, State University of New York at Buffalo).

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Gao, T. (2021). Development of High Impedance Microstrip Resonators and Design of Mitten RF Coil Arrays for Ultrahigh Field MR Imaging (Doctoral dissertation, State University of New York at Buffalo).

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More, S. S. (2021). Study of UTE and ZTE Sequences at Ultra-High Magnetic Field Strengths (Doctoral dissertation, State University of New York at Buffalo).

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???, & ??. (2015). ???????? MRI ????. ?????, 30(3), 295-297.

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??????, ?. (2016). ???????? ??? ??????????????? ???????????? ?????? ??? ?????????: ????????????? ??? ?????? Juxtaluminal Black Area-JBA ?? ??????? ???????? ?-???????.

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Riehakainen, L., Cavallini, C., Armanetti, P., Panetta, D., Caramella, D., & Menichetti, L. (2021). In Vivo Imaging of Biodegradable Implants and Related Tissue Biomarkers. Polymers, 13(14), 2348.

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Joyal, V. Research and Reviews: Journal of Pharmacy and Pharmaceutical Sciences Neoplastic Diseases: A Mini-Review.

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Samir Karman, Rasha Masoud, & Sobhi Sheikha. (2019). Development of a genetic algorithm to identify important characteristics from magnetic resonance images of the brain for a faster and more accurate classifier. Tishreen University Journal-Engineering Sciences Series,, 41(2).

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Mir Karman, & Sobhi Sheikha. (2018). A comparison of image-enhancement techniques for automatic medical image recognition, classification, and implementation on an MRI brain image. Tishreen University Journal-Engineering Sciences Series,, 40(3).

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Ahmadvand, A., Yousefi, S., & Manzuri Shalmani, M. T. (2017). A novel Markov random field model based on region adjacency graph for T1 magnetic resonance imaging brain segmentation. International Journal of Imaging Systems and Technology, 27(1), 78-88.

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Ahmadvand, A., Sharififar, M., & Daliri, M. R. (2015). Supervised segmentation of MRI brain images using combination of multiple classifiers. Australasian physical & engineering sciences in medicine, 38(2), 241-253.

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2018). High-frequency and low-frequency directional correlations in baseline oscillations of Parkinson's disease fMRI data. Journal of Biomedical Engineering, 12 (1), 51-61.

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Joseph, A. (2021). Computational study of brain function.

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Ghasemi, M. A. H. D. I. E. H. (2018). Low and High Frequency Band Connectivity in the Base Fluctuations of the Brain using fMRI Data of Parkinson Disease. Iranian Journal of Biomedical Engineering, 12(1), 51-61.

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