Antony J. Hodgson

2.9k total citations
119 papers, 2.0k citations indexed

About

Antony J. Hodgson is a scholar working on Surgery, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Antony J. Hodgson has authored 119 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Surgery, 55 papers in Biomedical Engineering and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Antony J. Hodgson's work include Orthopaedic implants and arthroplasty (19 papers), Medical Imaging and Analysis (18 papers) and Total Knee Arthroplasty Outcomes (17 papers). Antony J. Hodgson is often cited by papers focused on Orthopaedic implants and arthroplasty (19 papers), Medical Imaging and Analysis (18 papers) and Total Knee Arthroplasty Outcomes (17 papers). Antony J. Hodgson collaborates with scholars based in Canada, France and United States. Antony J. Hodgson's co-authors include Janice J. Eng, Patrick H. McCrea, Rafeef Abugharbieh, Carolyn Anglin, Ilker Hacihaliloglu, Robert Rohling, Christopher Plaskos, Bassam A. Masri, Pierre Guy and David R. Wilson and has published in prestigious journals such as PEDIATRICS, Journal of Neurophysiology and Clinical Orthopaedics and Related Research.

In The Last Decade

Antony J. Hodgson

113 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antony J. Hodgson Canada 25 1.0k 795 284 249 235 119 2.0k
Brian L. Davis United States 28 506 0.5× 1.4k 1.7× 363 1.3× 54 0.2× 119 0.5× 97 2.7k
Janet L. Ronsky Canada 26 1.3k 1.3× 1.1k 1.4× 74 0.3× 106 0.4× 73 0.3× 119 2.3k
Justin Fernandez New Zealand 31 890 0.9× 1.6k 2.0× 75 0.3× 70 0.3× 135 0.6× 162 3.0k
Masakatsu G. Fujie Japan 22 571 0.6× 1.7k 2.2× 179 0.6× 280 1.1× 162 0.7× 345 2.4k
Dominic Thewlis Australia 27 789 0.8× 1.0k 1.3× 179 0.6× 53 0.2× 53 0.2× 137 2.3k
Brigitte M. Jolles Switzerland 33 1.9k 1.9× 1.2k 1.6× 192 0.7× 151 0.6× 90 0.4× 140 3.7k
Pietro Cerveri Italy 26 661 0.7× 647 0.8× 57 0.2× 276 1.1× 310 1.3× 153 1.9k
Kieran Moran Ireland 33 554 0.6× 1.1k 1.3× 149 0.5× 186 0.7× 37 0.2× 160 2.9k
Apoorva Rajagopal United States 9 466 0.5× 1.6k 2.0× 207 0.7× 154 0.6× 27 0.1× 15 2.4k
Silvia Fantozzi Italy 24 857 0.9× 1.1k 1.4× 73 0.3× 192 0.8× 43 0.2× 87 2.4k

Countries citing papers authored by Antony J. Hodgson

Since Specialization
Citations

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

Fields of papers citing papers by Antony J. Hodgson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antony J. Hodgson

This figure shows the co-authorship network connecting the top 25 collaborators of Antony J. Hodgson. A scholar is included among the top collaborators of Antony J. Hodgson 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 Antony J. Hodgson. Antony J. Hodgson 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.
Mulpuri, Kishore, et al.. (2025). SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip. Ultrasound in Medicine & Biology. 51(5). 751–758. 2 indexed citations
4.
Greidanus, Nelson V., et al.. (2023). Using acoustic feedback and analyses for removal of bone cement during revision knee replacement surgeries. International Journal of Computer Assisted Radiology and Surgery. 18(8). 1383–1392. 1 indexed citations
5.
Street, John, et al.. (2023). Design of an ultrasound‐emitting drill guide for freehand pedicle screw navigation. International Journal of Medical Robotics and Computer Assisted Surgery. 19(6). e2555–e2555. 2 indexed citations
6.
Guy, Pierre, et al.. (2022). Can uncertainty estimation predict segmentation performance in ultrasound bone imaging?. International Journal of Computer Assisted Radiology and Surgery. 17(5). 825–832. 5 indexed citations
7.
Cutler, Fred, et al.. (2021). Why Bother? Supporters of Locally Weaker Parties Are Less Likely to Vote or to Vote Sincerely. Canadian Journal of Political Science. 55(1). 208–225. 6 indexed citations
8.
Esfandiari, Hooman, et al.. (2021). Deep learning‐based X‐ray inpainting for improving spinal 2D‐3D registration. International Journal of Medical Robotics and Computer Assisted Surgery. 17(2). e2228–e2228. 11 indexed citations
9.
Regan, William D., et al.. (2021). Targeting repeatability of a less obtrusive surgical navigation procedure for total shoulder arthroplasty. International Journal of Computer Assisted Radiology and Surgery. 17(2). 283–293. 9 indexed citations
10.
Guy, Pierre, et al.. (2021). What are the optimal targeting visualizations for performing surgical navigation of iliosacral screws? A user study. Archives of Orthopaedic and Trauma Surgery. 143(2). 677–690. 2 indexed citations
11.
Guy, Pierre, et al.. (2020). Ultrasound Bone Segmentation: A Scoping Review of Techniques and Validation Practices. Ultrasound in Medicine & Biology. 46(4). 921–935. 29 indexed citations
12.
Hodgson, Antony J., et al.. (2020). 3-D Ultrasound Imaging Reliability of Measuring Dysplasia Metrics in Infants. Ultrasound in Medicine & Biology. 47(1). 139–153. 10 indexed citations
13.
Guy, Pierre, et al.. (2018). Fast and automatic bone segmentation and registration of 3D ultrasound to CT for the full pelvic anatomy: a comparative study. International Journal of Computer Assisted Radiology and Surgery. 13(10). 1515–1524. 25 indexed citations
14.
Esfandiari, Hooman, et al.. (2018). A deep learning framework for segmentation and pose estimation of pedicle screw implants based on C-arm fluoroscopy. International Journal of Computer Assisted Radiology and Surgery. 13(8). 1269–1282. 43 indexed citations
15.
Hodgson, Antony J., et al.. (2015). Automatic assessment of developmental dysplasia of the hip. 13–16. 5 indexed citations
16.
Hodgson, Antony J., et al.. (2011). DESIGNING EXTENDED ASSIGNMENTS FOR TEAM-BASED LEARNING MODULES. Proceedings of the Canadian Engineering Education Association (CEEA). 6 indexed citations
17.
Anglin, Carolyn, Antony J. Hodgson, Bassam A. Masri, et al.. (2008). Determinants of patellar tracking in total knee arthroplasty. Clinical Biomechanics. 23(7). 900–910. 45 indexed citations
18.
Wilson, David R., et al.. (2008). Effect of Calibration Method on Tekscan Sensor Accuracy. Journal of Biomechanical Engineering. 131(3). 34503–34503. 141 indexed citations
19.
Avery, Gordon B., Alexander J. Engler, Antony J. Hodgson, et al.. (1989). Task force on transcutaneous oxygen monitors. PEDIATRICS. 83(1). 122–126. 9 indexed citations
20.
Hodgson, Antony J.. (1984). Integrating Physically Handicapped Pupils. British Journal of Special Education. 11(1). 27–30. 1 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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