Ron Kikinis

55.1k citations
461 papers · 42.2k · 19 hit papers · h-index 92

Impact in

Papers in

Ron Kikinis

453 papers receiving 40.5k citations

Ron Kikinis's Hit Papers

Early diagnosis of Alzheimer's disease with deep learning 2014 · 403 citations
4030+9+19Years since publication2.0k4.0k6.0k

Peers

Ron Kikinis
Comparison fields: 5 of 219
  • Radiology, Nuclear Medicine and Imaging 13.5k
  • Computational Mathematics 285
  • Computer Vision and Pattern Recognition 8.6k
  • Psychiatry and Mental health 4.5k
  • Cognitive Neuroscience 6.1k
Replace Ferenc A. Jólesz with:
Ferenc A. Jólesz United States
Michael I. Miller United States
Guido Gerig United States
Christos Davatzikos United States
James C. Gee United States
D. Louis Collins Canada
Daniel Rueckert United Kingdom
Arthur W. Toga United States
Martha E. Shenton United States
Roger P. Woods United States
Ron Kikinis relative to Ferenc A. Jólesz United States Ferenc A. Jólesz's profile →
Citations per field
00.5×1.5×1.9×
Ferenc A. Jólesz · 1×
Citations per year

Countries citing papers authored by Ron Kikinis

Since Specialization
Citations

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

Fields of papers citing papers by Ron Kikinis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ron Kikinis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ron Kikinis Line = papers co-authored together Ron Kikinis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 461 papers — load more, or switch the sort, to bring in the rest.

#Work
1
3D Slicer as an image computing platform for the Quantitative Imaging Network
Hit paper breakdown →
20126180
2
Statistical validation of image segmentation quality based on a spatial overlap index1
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20041408
3
Adaptive segmentation of MRI data
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19961066
4
Abnormalities of the Left Temporal Lobe and Thought Disorder in Schizophrenia
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19921038
5
Nonlinear anisotropic filtering of MRI data
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1992959
6
Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
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1998928
7
3D Slicer: A Platform for Subject-Specific Image Analysis, Visualization, and Clinical Support
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2013744
8
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury
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2012743
9
Magnetic resonance imaging study of hippocampal volume in chronic, combat-related posttraumatic stress disorder
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1996702
10
Development and Implementation of Intraoperative Magnetic Resonance Imaging and Its Neurosurgical Applications
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1997700
11
Processing and visualization for diffusion tensor MRI
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2002662
12
A review of diffusion tensor imaging studies in schizophrenia
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2005653
13
Quantitative magnetic resonance imaging of brain development in premature and mature newborns
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1998578
14
Improved Watershed Transform for Medical Image Segmentation Using Prior Information
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2004572
15
Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease
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2000556
16
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
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2014491
17 2002473
18
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease
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2014461
19
Periventricular white matter injury in the premature infant is followed by reduced cerebral cortical gray matter volume at term
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1999457
20 2004404

About Ron Kikinis

Ron Kikinis is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Cognitive Neuroscience and Surgery, having authored 461 papers that have together received 42.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (126 papers), Advanced Neuroimaging Techniques and Applications (92 papers), Advanced MRI Techniques and Applications (63 papers), Medical Imaging Techniques and Applications (48 papers), Anatomy and Medical Technology (36 papers), Functional Brain Connectivity Studies (36 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Medical Imaging and Analysis (31 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (13.5k citations), Computational Mathematics (285 citations), Computer Vision and Pattern Recognition (8.6k citations), Psychiatry and Mental health (4.5k citations) and Cognitive Neuroscience (6.1k citations). Ron Kikinis has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Ferenc A. Jólesz, Simon K. Warfield, Robert W. McCarley, Martha E. Shenton, Steve Pieper, William M. Wells, Sonia Pujol, W. Eric L. Grimson, Guido Gerig and Andriy Fedorov. Their work appears in journals such as Biological Psychiatry, American Journal of Psychiatry, Medical Image Analysis, IEEE Transactions on Medical Imaging and Computer Aided Surgery.

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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