Ron Kikinis

54.4k total citations · 17 hit papers
377 papers, 35.7k citations indexed

About

Ron Kikinis is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Ron Kikinis has authored 377 papers receiving a total of 35.7k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Radiology, Nuclear Medicine and Imaging, 110 papers in Computer Vision and Pattern Recognition and 71 papers in Biomedical Engineering. Recurrent topics in Ron Kikinis's work include Advanced Neuroimaging Techniques and Applications (98 papers), Medical Image Segmentation Techniques (84 papers) and Advanced MRI Techniques and Applications (64 papers). Ron Kikinis is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (98 papers), Medical Image Segmentation Techniques (84 papers) and Advanced MRI Techniques and Applications (64 papers). Ron Kikinis collaborates with scholars based in United States, Germany and Australia. Ron Kikinis's co-authors include Ferenc A. Jólesz, Robert W. McCarley, Simon K. Warfield, Martha E. Shenton, William M. Wells, Sonia Pujol, Andriy Fedorov, Steve Pieper, Guido Gerig and James V. Miller and has published in prestigious journals such as New England Journal of Medicine, Circulation and Nature Communications.

In The Last Decade

Ron Kikinis

371 papers receiving 34.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

3D Slicer as an image computing platform for the Quantitative Imaging Network

2012 5.8k citations Andriy Fedorov, Reinhard Beichel et al. Magnetic Resonance Imaging profile →
Statistical validation of image segmentation quality based on a spatial overlap index1

2004 1.3k citations Simon K. Warfield, Clare M. Tempany et al. profile →
Abnormalities of the Left Temporal Lobe and Thought Disorder in Schizophrenia

1992 965 citations Martha E. Shenton, Ron Kikinis et al. profile →
Adaptive segmentation of MRI data

1996 917 citations William M. Wells, Ron Kikinis et al. IEEE Transactions on Medical Imaging profile →
Nonlinear anisotropic filtering of MRI data

1992 856 citations Ron Kikinis, Ferenc A. Jólesz et al. IEEE Transactions on Medical Imaging profile →
Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images

1998 814 citations Ron Kikinis et al. profile →
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury

2012 685 citations Martha E. Shenton, Sylvain Bouix et al. profile →
Development and Implementation of Intraoperative Magnetic Resonance Imaging and Its Neurosurgical Applications

1997 639 citations Ron Kikinis, Ferenc A. Jólesz et al. profile →
Magnetic resonance imaging study of hippocampal volume in chronic, combat-related posttraumatic stress disorder

1996 630 citations Martha E. Shenton, Ron Kikinis et al. profile →
A review of diffusion tensor imaging studies in schizophrenia

2005 618 citations Robert W. McCarley, Ron Kikinis et al. profile →
Processing and visualization for diffusion tensor MRI

2002 586 citations Ron Kikinis et al. profile →
Quantitative magnetic resonance imaging of brain development in premature and mature newborns

1998 536 citations Simon K. Warfield, Ron Kikinis et al. profile →
Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease

2000 527 citations Ron Kikinis, Ferenc A. Jólesz et al. profile →
Improved Watershed Transform for Medical Image Segmentation Using Prior Information

2004 517 citations Ron Kikinis, Simon K. Warfield et al. IEEE Transactions on Medical Imaging profile →
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation

2014 468 citations Ron Kikinis et al. PLoS ONE profile →
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease

2014 404 citations Sidong Liu, Weidong Cai et al. profile →
Early diagnosis of Alzheimer's disease with deep learning

2014 329 citations Sidong Liu, Weidong Cai et al. profile →

Peers

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-authorship network of co-authors of Ron Kikinis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Tractography‐Based Automated Identification of Retinogeniculate Visual Pathway With Novel Microstructure‐Informed Supervised Contrastive Learning 2024 ·Human Brain Mapping ·(unknown), Wei Zhang, Shun Yao, (unknown), Jingjing Gao, Tengfei Xue, (unknown), Yuqian Chen, Erickson Torio, Yuanjing Feng, (unknown), Yogesh Rathi, Nikos Makris, Ron Kikinis, Wenya Linda Bi, Alexandra J. Golby, Lauren J. O’Donnell, Fan Zhang	1
2	TA2Viewer: A web‐based browser for Terminologia Anatomica and online anatomical knowledge 2024 ·Clinical Anatomy ·Michael Halle, Ron Kikinis, Paul E. Neumann	1
3	Evaluation of mediastinal lymph node segmentation of heterogeneous CT data with full and weak supervision 2023 ·Computerized Medical Imaging and Graphics ·Alireza Mehrtash, Erik Ziegler, (unknown), Bhanusupriya Somarouthu, Trinity Urban, Ann S. LaCasce, Heather A. Jacene, Annick D. Van den Abbeele, Steve Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur	2
4	Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods 2023 ·Human Brain Mapping ·(unknown), Fan Zhang, (unknown), Yuanjing Feng, Jarrett Rushmore, Erickson Torio, Yogesh Rathi, Nikos Makris, Ron Kikinis, Alexandra J. Golby, Lauren J. O’Donnell	10
5	SlicerCBM: automatic framework for biomechanical analysis of the brain 2023 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), (unknown), George C. Bourantas, Grand Roman Joldes, Simon K. Warfield, Damon E. Hyde, Sarah Frisken, Tina Kapur, Ron Kikinis, Alexandra J. Golby, Arya Nabavi, Adam Wittek, Karol Miller	1
6	The use of 3D digital anatomy model improves the communication with patients presenting with prostate disease: The first experience in Senegal 2022 ·PLoS ONE ·Babacar Diao, (unknown), (unknown), Michael Halle, Juan Ruiz‐Alzola, Tamás Ungi, Gábor Fichtinger, Ron Kikinis	1
7	Design of an Ultrasound-Navigated Prostate Cancer Biopsy System for Nationwide Implementation in Senegal 2021 ·Journal of Imaging ·Gábor Fichtinger, Parvin Mousavi, Tamás Ungi, Aaron Fenster, Purang Abolmaesumi, Gernot Kronreif, Juan Ruiz‐Alzola, Alain Khassim Ndoye, Babacar Diao, Ron Kikinis	0
8	Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation (Preprint) 2020 ·Yang Gao, Xiong Xiao, Bangcheng Han, Guilin Li, Xiaolin Ning, (unknown), Weidong Cai, Ron Kikinis, Shlomo Berkovsky, Antonio Di Ieva, Liwei Zhang, Nan Ji, Sidong Liu	1
9	Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation 2020 ·JMIR Medical Informatics ·Yang Gao, Xiong Xiao, Bangcheng Han, Guilin Li, Xiaolin Ning, (unknown), Weidong Cai, Ron Kikinis, Shlomo Berkovsky, Antonio Di Ieva, Liwei Zhang, Nan Ji, Sidong Liu	28
10	Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy 2019 ·Physics in Medicine and Biology ·Paolo Zaffino, (unknown), André Mastmeyer, Alireza Mehrtash, Hongtao Zhang, Ron Kikinis, Tina Kapur, Maria Francesca Spadea	51
11	Multimodal image registration for liver radioembolization planning and patient assessment 2018 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), Nasreddin Abolmaali, Ron Kikinis, Andrea Schenk	10
12	Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy 2018 ·IEEE Transactions on Medical Imaging ·Alireza Mehrtash, Mohsen Ghafoorian, (unknown), Alireza Ziaei, Friso G. Heslinga, Kemal Tuncali, Andriy Fedorov, Ron Kikinis, Clare M. Tempany, William M. Wells, Purang Abolmaesumi, Tina Kapur	44
13	SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research 2017 ·Cancer Research ·Isaiah Norton, Walid Ibn Essayed, Fan Zhang, Sonia Pujol, (unknown), Alexandra J. Golby, Gordon Kindlmann, Demián Wassermann, Raúl San Jośe Estépar, Yogesh Rathi, Steve Pieper, Ron Kikinis, Hans J. Johnson, Carl‐Fredrik Westin, Lauren J. O’Donnell	91
14	dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM 2017 ·Cancer Research ·(unknown), Jean‐Christophe Fillion‐Robin, Michael D. Onken, Jörg Riesmeier, András Lassó, Csaba Pintér, Gábor Fichtinger, Steve Pieper, David Clunie, Ron Kikinis, Andriy Fedorov	28
15	3D Slicer as an image computing platform for the Quantitative Imaging Network breakdown → 2012 ·Magnetic Resonance Imaging ·Andriy Fedorov, Reinhard Beichel, Jayashree Kalpathy–Cramer, Julien Finet, Jean‐Christophe Fillion‐Robin, Sonia Pujol, Christian Bauer, Dominique Jennings, Fiona Fennessy, Milan Sonka, John M. Buatti, Stephen Aylward, James V. Miller, Steve Pieper, Ron Kikinis	5750
16	Automatic Segmentation Using Non-Rigid Registration. 2007 ·(unknown), Sylvain Bouix, (unknown), (unknown), Ron Kikinis	4
17	Planum Temporale and Heschl Gyrus Volume Reduction in Schizophrenia 2000 ·Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·Yoshio Hirayasu, Robert W. McCarley, Dean F. Salisbury, Shin Tanaka, Jun Soo Kwon, Melissa Frumin, Danielle Snyderman, Deborah Yurgelun‐Todd, Ron Kikinis, Ferenc A. Jólesz, Martha E. Shenton	31
18	Tetrahedral Mesh Generation for Medical Imaging 2000 ·Ron Kikinis	7
19	Deformable modeling of facial tissue for craniofacial surgery simulation 1998 ·Computer Aided Surgery ·Erwin Keeve, Sabine Girod, Ron Kikinis, (unknown)	98
20	Innovations in minimalism: intraoperative MRI. 1996 ·PubMed ·E Alexander, (unknown), Ron Kikinis, (unknown)	27

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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