J. Ross Mitchell

4.6k total citations
71 papers, 2.4k citations indexed

About

J. Ross Mitchell is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Ross Mitchell has authored 71 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pathology and Forensic Medicine and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Ross Mitchell's work include Multiple Sclerosis Research Studies (18 papers), Advanced MRI Techniques and Applications (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). J. Ross Mitchell is often cited by papers focused on Multiple Sclerosis Research Studies (18 papers), Advanced MRI Techniques and Applications (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). J. Ross Mitchell collaborates with scholars based in Canada, United States and India. J. Ross Mitchell's co-authors include Brian K. Rutt, Stephen J. Karlik, Paula J. Gareau, Sylvia Drabycz, V. Wee Yong, Thorarin A. Bjarnason, Luanne M. Metz, Michael Eliasziw, Robert Hammond and Sharon E. Clarke and has published in prestigious journals such as NeuroImage, Brain and Stroke.

In The Last Decade

J. Ross Mitchell

69 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ross Mitchell Canada 28 1.1k 455 381 339 331 71 2.4k
Bernd Tomandl Germany 29 678 0.6× 539 1.2× 190 0.5× 150 0.4× 556 1.7× 83 2.3k
Horst K. Hahn Germany 31 1.2k 1.1× 239 0.5× 709 1.9× 796 2.3× 121 0.4× 182 3.0k
Joan C. Vilanova Spain 34 1.3k 1.1× 935 2.1× 493 1.3× 869 2.6× 125 0.4× 143 3.6k
Timothy L. Kline United States 29 1.7k 1.5× 514 1.1× 116 0.3× 309 0.9× 183 0.6× 102 3.5k
Pierre Véra France 37 2.6k 2.3× 1.2k 2.7× 1.3k 3.4× 356 1.1× 231 0.7× 225 5.1k
Stefan Eberl Australia 40 2.1k 1.8× 1.4k 3.2× 365 1.0× 564 1.7× 283 0.9× 170 5.8k
David Snead United Kingdom 39 2.3k 2.0× 663 1.5× 209 0.5× 1.2k 3.6× 382 1.2× 128 6.6k
Alex M. Aisen United States 44 2.6k 2.3× 1.2k 2.7× 252 0.7× 651 1.9× 826 2.5× 110 6.0k
Takeo Ishigaki Japan 37 2.3k 2.0× 1.3k 2.8× 249 0.7× 172 0.5× 339 1.0× 198 4.8k
Panagiotis Korfiatis United States 25 1.7k 1.5× 434 1.0× 74 0.2× 313 0.9× 194 0.6× 67 3.0k

Countries citing papers authored by J. Ross Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by J. Ross Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ross Mitchell. 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 J. Ross Mitchell. The network helps show where J. Ross Mitchell may publish in the future.

Co-authorship network of co-authors of J. Ross Mitchell

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ross Mitchell. A scholar is included among the top collaborators of J. Ross Mitchell 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 J. Ross Mitchell. J. Ross Mitchell 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.
Ranjbar, Sara, et al.. (2022). Weakly Supervised Skull Stripping of Magnetic Resonance Imaging of Brain Tumor Patients. PubMed. 1. 832512–832512. 2 indexed citations
2.
Mitchell, J. Ross, et al.. (2021). A Question-and-Answer System to Extract Data From Free-Text Oncological Pathology Reports (CancerBERT Network): Development Study. Journal of Medical Internet Research. 24(3). e27210–e27210. 22 indexed citations
3.
Ranjbar, Sara, Kyle Singleton, Pamela Jackson, et al.. (2019). A Deep Convolutional Neural Network for Annotation of Magnetic Resonance Imaging Sequence Type. Journal of Digital Imaging. 33(2). 439–446. 20 indexed citations
4.
5.
Bjarnason, Thorarin A., et al.. (2017). A Novel Method to Visualize Quantitative T2 MRI Data: qT2-View. 32(1).
6.
Patel, Bhavika, Sara Ranjbar, Teresa Wu, et al.. (2017). Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study. European Journal of Radiology. 98. 207–213. 55 indexed citations
7.
Lysack, John T., Teresa Wu, T. Wayne Matthews, et al.. (2014). MRI Texture Analysis Predicts p53 Status in Head and Neck Squamous Cell Carcinoma. American Journal of Neuroradiology. 36(1). 166–170. 76 indexed citations
8.
Roberts, Mike, et al.. (2010). A work-efficient GPU algorithm for level set segmentation. 123–132. 36 indexed citations
9.
Modi, Jayesh, et al.. (2010). iPhone-Based Teleradiology for the Diagnosis of Acute Cervico-Dorsal Spine Trauma. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 37(6). 849–854. 24 indexed citations
10.
McCreary, Cheryl R., et al.. (2009). Multiexponential T2 and magnetization transfer MRI of demyelination and remyelination in murine spinal cord. NeuroImage. 45(4). 1173–1182. 79 indexed citations
11.
Bristow, Michael, Brett Poulin, Jessica Simon, et al.. (2008). Identifying lesion growth with MR imaging in acute ischemic stroke. Journal of Magnetic Resonance Imaging. 28(4). 837–846. 4 indexed citations
12.
Samavati, Faramarz, et al.. (2006). Sketch-based volumetric seeded region growing. 123–130. 16 indexed citations
13.
Zhang, Yunyan, Jennifer Wells, Richard Buist, et al.. (2006). A Novel MRI Texture Analysis of Demyelination and Inflammation in Relapsing-Remitting Experimental Allergic Encephalomyelitis. Lecture notes in computer science. 9(Pt 1). 760–767. 15 indexed citations
14.
Khosravani, Houman, C. Robert Pinnegar, J. Ross Mitchell, et al.. (2005). Increased High‐frequency Oscillations Precede in vitro Low‐Mg2+ Seizures. Epilepsia. 46(8). 1188–1197. 70 indexed citations
15.
Zhu, Hongmei, Bradley G. Goodyear, M. Louis Lauzon, et al.. (2003). A new local multiscale Fourier analysis for medical imaging. Medical Physics. 30(6). 1134–1141. 52 indexed citations
16.
Ladak, Hanif M., Jonathan B. Thomas, J. Ross Mitchell, Brian K. Rutt, & David A. Steinman. (2001). A semi‐automatic technique for measurement of arterial wall from black blood MRI. Medical Physics. 28(6). 1098–1107. 56 indexed citations
17.
Gareau, Paula J., Brian K. Rutt, Stephen J. Karlik, & J. Ross Mitchell. (2000). Magnetization transfer and multicomponent T2 relaxation measurements with histopathologic correlation in an experimental model of MS. Journal of Magnetic Resonance Imaging. 11(6). 586–595. 178 indexed citations
18.
Gareau, Paula J., Brian K. Rutt, Chris V. Bowen, Stephen J. Karlik, & J. Ross Mitchell. (1999). In vivo measurements of multi-component T2 relaxation behaviour in guinea pig brain. Magnetic Resonance Imaging. 17(9). 1319–1325. 40 indexed citations
19.
Mitchell, J. Ross, Stephen J. Karlik, Donald H. Lee, et al.. (1996). The variability of manual and computer assisted quantification of multiple sclerosis lesion volumes. Medical Physics. 23(1). 85–97. 61 indexed citations
20.
Mitchell, J. Ross. (1973). Detecting Fatigue Cracks with Acoustic Emission. Proceedings of the Oklahoma Academy of Science. 53. 121–126. 3 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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