Citations Report

Imaging in Medicine : Citations & Metrics Report

Articles published in Imaging in Medicine have been cited by esteemed scholars and scientists all around the world.

Imaging in Medicine has got h-index 25, which means every article in Imaging in Medicine has got 25 average citations.

Following are the list of articles that have cited the articles published in Imaging in Medicine.

  2022 2021 2020 2019 2018

Year wise published articles

34 46 30 15 37

Year wise citations received

452 564 500 482 432
Journal total citations count 4878
Journal impact factor 12.71
Journal 5 years impact factor 14.99
Journal cite score 15.98
Journal h-index 25
Journal h-index since 2018 20
Journal Impact Factor 2020 formula
IF= Citations(y)/{Publications(y-1)+ Publications(y-2)} Y= Year
Journal 5-year Impact Factor 2020 formula
Citations(2016 + 2017 + 2018 + 2019 + 2020)/
{Published articles(2016 + 2017 + 2018 + 2019 + 2020)}
Journal citescore
Citescorey = Citationsy + Citationsy-1 + Citationsy-2 + Citations y-3 / Published articlesy + Published articlesy-1 + Published articlesy-2 + Published articles y-3
  • Ashrafian H, Clancy O, Grover V, Darzi A. The evolution of robotic surgery: surgical and anaesthetic aspects. BJA: British Journal of Anaesthesia. 2017 Dec 1;119(suppl_1):i72-84. View at Publisher | View at Google Scholar | View at Indexing
  • Xu J, Janowczyk A, Chandran S, Madabhushi A. A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation. InMedical Imaging 2010: Image Processing 2010 Mar 12 (Vol. 7623, p. 76230Y). International Society for Optics and Photonics. View at Publisher | View at Google Scholar | View at Indexing
  • Bringmann LF. Dynamical networks in psychology (Doctoral dissertation, KU) Leuven). View at Publisher | View at Google Scholar | View at Indexing
  • Cruz-Roa A, Díaz G, Romero E, González FA. Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization. Journal of pathology informatics. 2011;2. View at Publisher | View at Google Scholar | View at Indexing
  • Glomb K, Cabral J, Cattani A, Mazzoni A, Raj A, Franceschiello B. Computational models in Electroencephalography. Brain Topography. 2021 Mar 29:1-20. View at Publisher | View at Google Scholar | View at Indexing
  • Chappelow J, Tomaszewski JE, Feldman M, Shih N, Madabhushi A. HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. Computerized Medical Imaging and Graphics. 2011 Oct 1;35(7-8):557-67. View at Publisher | View at Google Scholar | View at Indexing
  • Rozanski VE, Wick F, da Silva NM, Ahmadi SA, Kammermeier S, Cunha JP, Bötzel K, Vollmar C. A connectivity-based approach to the pathophysiology of hemiballism. Basal Ganglia. 2016 Apr 1;6(2):107-13. View at Publisher | View at Google Scholar | View at Indexing
  • Fuelscher I, Hyde C, Anderson V, Silk TJ. White matter tract signatures of fiber density and morphology in ADHD. Cortex. 2021 May 1;138:329-40. View at Publisher | View at Google Scholar | View at Indexing
  • Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies (Doctoral dissertation, Vanderbilt University). View at Publisher | View at Google Scholar | View at Indexing
  • Parvathaneni P. Gray Matter Surface-based Spatial Statistics in Neuroimaging Studies (Doctoral dissertation, Vanderbilt University). View at Publisher | View at Google Scholar | View at Indexing
  • Stamile C. Unsupervised Models for White Matter Fiber-Bundles Analysis in Multiple Sclerosis (Doctoral dissertation, Université de Lyon; Université catholique de Louvain (1970-....)). View at Publisher | View at Google Scholar | View at Indexing
  • Dyrby T. The challenge of mapping the human connectome based on diffusion tractography. View at Publisher | View at Google Scholar | View at Indexing
  • Roebroeck A. dMRI: Diffusion Magnetic Resonance Imaging as a Window onto Structural Brain Networks and White Matter Microstructure. InBrain Network Dysfunction in Neuropsychiatric Illness 2021 (pp. 105-134). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
  • Tunç B, Parker D, Shinohara RT, Elliott MA, Ruparel K, Gur RE, Gur RC, Verma R. Multifactorial Dynamics of White Matter Connectivity During Adolescence. bioRxiv. 2017 Jan 1:215152. View at Publisher | View at Google Scholar | View at Indexing
  • Parsons N, Hughes M, Poudel G, Caeyenberghs K. SC-FC Relationships in Brain-injured Patients: A Scoping Review. View at Publisher | View at Google Scholar | View at Indexing
  • Bullmore E, Sporns O. Comparative Connectomics. View at Publisher | View at Google Scholar | View at Indexing
  • Mito R, Smith R, Dhollander T, Rowe C, Villemagne V, Brodtmann A, Connelly A. Longitudinal trajectory of fibre-specific degeneration in Alzheimer’s disease and mild cognitive impairment. View at Publisher | View at Google Scholar | View at Indexing
  • Reisert M, Dihtal B, Kellner E, Skibbe H, Kaller C. Symmetric Wiener Processes for Probabilistic Tractography and Connectivity Estimation. InInternational Conference on Medical Image Computing and Computer-Assisted Intervention 2015 Oct 5 (pp. 53-60). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
  • Feys OE, Lisa M. The relationship between neuroimaging and motor outcome in children with cerebral palsy: A systematic review–Part B Diffusion imaging and tractography. View at Publisher | View at Google Scholar | View at Indexing
  • Kerkelä L. Quantifying Brain Microstructure with Diffusion MRI: An Assessment of Microscopic Anisotropy Imaging (Doctoral dissertation, UCL (University College London)). View at Publisher | View at Google Scholar | View at Indexing
  • Bhattacharjee S, Mukherjee J, Nag S, Maitra IK, Bandyopadhyay SK. Review on histopathological slide analysis using digital microscopy. International Journal of Advanced Science and Technology. 2014 Jan;62:65-96. View at Publisher | View at Google Scholar | View at Indexing
  • Bettinardi RG. Spontaneous brain activity: how dynamics and topology shape the emergent correlation structure (Doctoral dissertation, Universitat Pompeu Fabra). View at Publisher | View at Google Scholar | View at Indexing
  • Janowczyk A, Chandran S, Singh R, Sasaroli D, Coukos G, Feldman MD, Madabhushi A. High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts. IEEE transactions on biomedical engineering. 2011 Dec 13;59(5):1240-52. View at Publisher | View at Google Scholar | View at Indexing
  • Kamiya K, Suzuki Y, Abe O. Diffusion Magnetic Resonance Imaging in the Central Nervous System. InBioimaging 2020 May 26 (pp. 121-154). CRC Press. View at Publisher | View at Google Scholar | View at Indexing
  • Akbar S, Jordan LB, Purdie CA, Thompson AM, McKenna SJ. Comparing computer-generated and pathologist-generated tumour segmentations for immunohistochemical scoring of breast tissue microarrays. British journal of cancer. 2015 Sep;113(7):1075-80. View at Publisher | View at Google Scholar | View at Indexing
  • Rago A, Zavan F, Moschi S, De Vincentis P, Crimí F, Quaia E. Intrahepatic Biliary Tract Interventional Radiology. InImaging of the Liver and Intra-hepatic Biliary Tract 2021 (pp. 175-196). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
  • Kang IH, Lee HB, Jang JS, Yang SW, Seo DK. Effectiveness Evaluation of Distance-adjustable Head Coil. Journal: Journal of the Korean Society of MR Technology. 2019(2):1-0. View at Publisher | View at Google Scholar | View at Indexing
  • Kinahan PE, Fletcher JW. Positron emission tomography-computed tomography standardized uptake values in clinical practice and assessing response to therapy. InSeminars in Ultrasound, CT and MRI 2010 Dec 1 (Vol. 31, No. 6, pp. 496-505). WB Saunders. View at Publisher | View at Google Scholar | View at Indexing
  • Vemuri P, Lowe VJ, Knopman DS, Senjem ML, Kemp BJ, Schwarz CG, Przybelski SA, Machulda MM, Petersen RC, Jack Jr CR. Tau-PET uptake: regional variation in average SUVR and impact of amyloid deposition. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2017 Jan 1;6:21-30. View at Publisher | View at Google Scholar | View at Indexing
  • Teoh EJ, McGowan DR, Bradley KM, Belcher E, Black E, Gleeson FV. Novel penalised likelihood reconstruction of PET in the assessment of histologically verified small pulmonary nodules. European radiology. 2016 Feb 1;26(2):576-84. View at Publisher | View at Google Scholar | View at Indexing
  • Parvizi N, Franklin JM, McGowan DR, Teoh EJ, Bradley KM, Gleeson FV. Does a novel penalized likelihood reconstruction of 18F-FDG PET-CT improve signal-to-background in colorectal liver metastases?. European journal of radiology. 2015 Oct 1;84(10):1873-8. View at Publisher | View at Google Scholar | View at Indexing
  • Berg E, Cherry SR. Innovations in instrumentation for positron emission tomography. InSeminars in nuclear medicine 2018 Jul 1 (Vol. 48, No. 4, pp. 311-331). WB Saunders. View at Publisher | View at Google Scholar | View at Indexing
  • Andersen FL, Klausen TL, Loft A, Beyer T, Holm S. Clinical evaluation of PET image reconstruction using a spatial resolution model. European journal of radiology. 2013 May 1;82(5):862-9. View at Publisher | View at Google Scholar | View at Indexing
  • Yang B, Ying L, Tang J. Artificial neural network enhanced Bayesian PET image reconstruction. IEEE transactions on medical imaging. 2018 Feb 7;37(6):1297-309. View at Publisher | View at Google Scholar | View at Indexing
  • Rausch I, Bergmann H, Geist B, Schaffarich M, Hirtl A, Hacker M, Beyer T. Variation of system performance, quality control standards and adherence to international FDG-PET/CT imaging guidelines. Nuklearmedizin. 2014;53(06):242-8. View at Publisher | View at Google Scholar | View at Indexing
  • Xiong L, Engel H, Gazyakan E, Rahimi M, Hünerbein M, Sun J, Kneser U, Hirche C. Current techniques for lymphatic imaging: state of the art and future perspectives. European Journal of Surgical Oncology (EJSO). 2014 Mar 1;40(3):270-6. View at Publisher | View at Google Scholar | View at Indexing
  • Parisi MT, Bermo MS, Alessio AM, Sharp SE, Gelfand MJ, Shulkin BL. Optimization of pediatric PET/CT. InSeminars in nuclear medicine 2017 May 1 (Vol. 47, No. 3, pp. 258-274). WB Saunders. View at Publisher | View at Google Scholar | View at Indexing
  • Bosykh YY, Turkina AY, Franco RP, Franco A, Makeeva MK. Cone beam computed tomography study on the relation between mental foramen and roots of mandibular teeth, presence of anterior loop and satellite foramina. Morphologie. 2019 Jun 1;103(341):65-71. View at Publisher | View at Google Scholar | View at Indexing
  • Messerli M, Stolzmann P, Egger-Sigg M, Trinckauf J, D’Aguanno S, Burger IA, von Schulthess GK, Kaufmann PA, Huellner MW. Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors. EJNMMI physics. 2018 Dec;5(1):1-3. View at Publisher | View at Google Scholar | View at Indexing
  • Teoh EJ, McGowan DR, Bradley KM, Belcher E, Black E, Moore A, Sykes A, Gleeson FV. 18F-FDG PET/CT assessment of histopathologically confirmed mediastinal lymph nodes in non-small cell lung cancer using a penalised likelihood reconstruction. European radiology. 2016 Nov;26(11):4098-106. View at Publisher | View at Google Scholar | View at Indexing
  • Camarlinghi N, Sportelli G, Battistoni G, Belcari N, Cecchetti M, Cirrone GA, Cuttone G, Ferretti S, Kraan A, Retico A, Romano F. An in-beam PET system for monitoring ion-beam therapy: test on phantoms using clinical 62 MeV protons. Journal of Instrumentation. 2014 Apr 2;9(04):C04005. View at Publisher | View at Google Scholar | View at Indexing
  • Camarlinghi N, Sportelli G, Battistoni G, Belcari N, Cecchetti M, Cirrone GA, Cuttone G, Ferretti S, Kraan A, Retico A, Romano F. An in-beam PET system for monitoring ion-beam therapy: test on phantoms using clinical 62 MeV protons. Journal of Instrumentation. 2014 Apr 2;9(04):C04005. View at Publisher | View at Google Scholar | View at Indexing
  • Lantos J, Mittra ES, Levin CS, Iagaru A. Standard OSEM vs. regularized PET image reconstruction: qualitative and quantitative comparison using phantom data and various clinical radiopharmaceuticals. American journal of nuclear medicine and molecular imaging. 2018;8(2):110. View at Publisher | View at Google Scholar | View at Indexing
  • Vallot D, Caselles O, Chaltiel L, Fernandez A, Gabiache E, Dierickx L, Zerdoud S, Bauriaud M, Courbon F. A clinical evaluation of the impact of the Bayesian penalized likelihood reconstruction algorithm on PET FDG metrics. Nuclear medicine communications. 2017 Nov 1;38(11):979-84. View at Publisher | View at Google Scholar | View at Indexing
  • Gallivanone F, Interlenghi M, D’Ambrosio D, Trifirò G, Castiglioni I. Parameters influencing PET imaging features: a phantom study with irregular and heterogeneous synthetic lesions. Contrast media & molecular imaging. 2018 Sep 10;2018. View at Publisher | View at Google Scholar | View at Indexing
  • Kraan AC, Battistoni G, Belcari N, Camarlinghi N, Cappucci F, Ciocca M, Ferrari A, Ferretti S, Mairani A, Molinelli S, Pullia M. First tests for an online treatment monitoring system with in-beam PET for proton therapy. Journal of Instrumentation. 2015 Jan 12;10(01):C01010. View at Publisher | View at Google Scholar | View at Indexing
  • Messerli M, Kotasidis F, Burger IA, Ferraro DA, Muehlematter UJ, Weyermann C, Kenkel D, von Schulthess GK, Kaufmann PA, Huellner MW. Impact of different image reconstructions on PET quantification in non-small cell lung cancer: a comparison of adenocarcinoma and squamous cell carcinoma. The British journal of radiology. 2019 Apr;92(1096):20180792. View at Publisher | View at Google Scholar | View at Indexing
  • Langford ST, Wiggins CS, Santos R, Hauser M, Becker JM, Ruggles AE. Three-dimensional spatiotemporal tracking of fluorine-18 radiolabeled yeast cells via positron emission particle tracking. PloS one. 2017 Jul 6;12(7):e0180503. View at Publisher | View at Google Scholar | View at Indexing
  • Herfert K, Mannheim JG, Kuebler L, Marciano S, Amend M, Parl C, Napieczynska H, Maier FM, Vega SC, Pichler BJ. Quantitative rodent brain receptor imaging. Molecular imaging and biology. 2020 Apr;22(2):223-44. View at Publisher | View at Google Scholar | View at Indexing
  • Goense L, Meziani J, van Rossum PS, Wessels FJ, Meijer GJ, Lam MG, van Hillegersberg R, Ruurda JP. Limited additional value of cervical ultrasonography over a negative 18F-FDG PET/CT for diagnosing cervical lymph node metastases in patients with esophageal cancer: a systematic review and meta-analysis. Nuclear medicine communications. 2018 Jul 1;39(7):645-51. View at Publisher | View at Google Scholar | View at Indexing

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Google Scholar citation report
Citations : 4878

Imaging in Medicine received 4878 citations as per Google Scholar report


Imaging in Medicine peer review process verified at publons

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