Dominic Kennedy

532 total citations
21 papers, 389 citations indexed

About

Dominic Kennedy is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Dominic Kennedy has authored 21 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Surgery and 4 papers in Orthopedics and Sports Medicine. Recurrent topics in Dominic Kennedy's work include MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Dominic Kennedy is often cited by papers focused on MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Dominic Kennedy collaborates with scholars based in Australia, Sweden and United States. Dominic Kennedy's co-authors include ‪Stuart Crozier‬, Andrew Mehnert, Simon Dimmick, Nicholas Daunt, J. Wright, Thomas H. Marwick, Yaniv Gal, Andrew P. Bradley, Brian Haluska and Julian W. Sacre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Dominic Kennedy

21 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominic Kennedy Australia 10 177 113 98 77 63 21 389
B.K. Velthuis Netherlands 8 121 0.7× 403 3.6× 150 1.5× 53 0.7× 71 1.1× 11 523
Tomas Sakinis Norway 7 265 1.5× 32 0.3× 60 0.6× 21 0.3× 68 1.1× 10 499
Clifford Yang United States 11 377 2.1× 77 0.7× 92 0.9× 15 0.2× 87 1.4× 22 673
Paola C. Pettersen Denmark 11 99 0.6× 15 0.1× 145 1.5× 63 0.8× 75 1.2× 26 547
Davis M. Vigneault United States 10 223 1.3× 360 3.2× 75 0.8× 32 0.4× 42 0.7× 21 492
Qianjun Jia China 9 167 0.9× 40 0.4× 36 0.4× 20 0.3× 21 0.3× 28 267
Stéren Chabert Chile 10 104 0.6× 31 0.3× 39 0.4× 7 0.1× 21 0.3× 38 332
Manasi Datar United States 10 54 0.3× 27 0.2× 54 0.6× 20 0.3× 82 1.3× 16 238
Stephanie Leung Canada 9 153 0.9× 54 0.5× 180 1.8× 11 0.1× 117 1.9× 10 508
Jean-Claude Tardif Canada 10 107 0.6× 319 2.8× 77 0.8× 5 0.1× 41 0.7× 14 421

Countries citing papers authored by Dominic Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominic Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Dominic Kennedy. A scholar is included among the top collaborators of Dominic Kennedy 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 Dominic Kennedy. Dominic Kennedy 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.
Kennedy, Dominic, et al.. (2015). A new diagnostic approach to popliteal artery entrapment syndrome. Journal of Medical Radiation Sciences. 62(3). 226–229. 25 indexed citations
2.
3.
Mehnert, Andrew, et al.. (2013). Fully automatic lesion segmentation in breast MRI using mean‐shift and graph‐cuts on a region adjacency graph. Journal of Magnetic Resonance Imaging. 39(4). 795–804. 33 indexed citations
4.
Martin, Jarad, et al.. (2013). Rapid determination of vertebral fat fraction over a large range of vertebral bodies. Journal of Medical Imaging and Radiation Oncology. 58(2). 155–163. 18 indexed citations
5.
6.
Jellis, Christine, J. Wright, Julian W. Sacre, et al.. (2012). BACKSCATTER, T1 MAPPING OR PRO-COLLAGEN BIOMARKERS FOR NON-INVASIVE ASSESSMENT OF TREATMENT RESPONSE TO ANTI-FIBROTIC THERAPY IN SUBCLINICAL DIABETIC CARDIOMYOPATHY? A RANDOMIZED TRIAL. Journal of the American College of Cardiology. 59(13). E1076–E1076. 2 indexed citations
7.
Jellis, Christine, J. Wright, Dominic Kennedy, et al.. (2011). Association of Imaging Markers of Myocardial Fibrosis with Metabolic and Functional Disturbances in Early Diabetic Cardiomyopathy: A Multi-modality Study. Heart Lung and Circulation. 20. S161–S161. 2 indexed citations
8.
Gal, Yaniv, Andrew Mehnert, Andrew P. Bradley, Dominic Kennedy, & ‪Stuart Crozier‬. (2011). New Spatiotemporal Features for Improved Discrimination of Benign and Malignant Lesions in Dynamic Contrast-Enhanced-Magnetic Resonance Imaging of the Breast. Journal of Computer Assisted Tomography. 35(5). 645–652. 8 indexed citations
9.
Jellis, Christine, J. Wright, Dominic Kennedy, et al.. (2011). Association of Imaging Markers of Myocardial Fibrosis With Metabolic and Functional Disturbances in Early Diabetic Cardiomyopathy. Circulation Cardiovascular Imaging. 4(6). 693–702. 115 indexed citations
10.
Mehnert, Andrew, et al.. (2010). Two Non-linear Parametric Models of Contrast Enhancement for DCE-MRI of the Breast Amenable to Fitting Using Linear Least Squares. UWA Profiles and Research Repository (University of Western Australia). 11. 611–616. 1 indexed citations
11.
Mehnert, Andrew, et al.. (2010). Improving the Discrimination of Benign and Malignant Breast MRI Lesions Using the Apparent Diffusion Coefficient. UWA Profiles and Research Repository (University of Western Australia). 569–574. 1 indexed citations
12.
Gal, Yaniv, et al.. (2009). Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means. IEEE Transactions on Medical Imaging. 29(2). 302–310. 56 indexed citations
13.
Gal, Yaniv, Andrew Mehnert, Andrew P. Bradley, Dominic Kennedy, & ‪Stuart Crozier‬. (2009). Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast. Chalmers Research (Chalmers University of Technology). 132–139. 9 indexed citations
14.
Dimmick, Simon, Dominic Kennedy, & Nicholas Daunt. (2008). Evaluation of thickness and appearance of anterior talofibular and calcaneofibular ligaments in normal versus abnormal ankles with MRI. Journal of Medical Imaging and Radiation Oncology. 52(6). 559–563. 41 indexed citations
15.
Gal, Yaniv, et al.. (2008). A new denoising method for dynamic contrast-enhanced MRI. PubMed. 2008. 847–850. 3 indexed citations
16.
Hill, Andrew, et al.. (2006). Dynamic breast MRI: Image registration and its impact on enhancement curve estimation. PubMed. 2006. 3049–3052. 8 indexed citations
17.
Kennedy, Dominic, et al.. (2005). Breast magnetic resonance imaging: An essential role in malignant axillary lymphadenopathy of unknown origin. Australasian Radiology. 49(5). 382–389. 15 indexed citations
18.
Mehnert, Andrew, et al.. (2005). Visualisation of the pattern of contrast enhancement in dynamic breast MRI. Queensland's institutional digital repository (The University of Queensland). 1. 67–72. 5 indexed citations
19.
Kennedy, Dominic, et al.. (2003). A bit-mapping classifier expert system in warranty selection. ii. 1222–1224. 1 indexed citations
20.
Jackson, Robert W., et al.. (1991). Functional testing of braces for anterior cruciate ligament-deficient knees.. PubMed. 34(2). 167–72. 19 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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