Derek Beaton

2.7k total citations
55 papers, 579 citations indexed

About

Derek Beaton is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Derek Beaton has authored 55 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 20 papers in Cardiology and Cardiovascular Medicine and 13 papers in Surgery. Recurrent topics in Derek Beaton's work include Cardiac, Anesthesia and Surgical Outcomes (18 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and Peripheral Artery Disease Management (8 papers). Derek Beaton is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (18 papers), Cerebrovascular and Carotid Artery Diseases (14 papers) and Peripheral Artery Disease Management (8 papers). Derek Beaton collaborates with scholars based in Canada, United States and Saudi Arabia. Derek Beaton's co-authors include Hervé Abdi, Cherise R. Chin Fatt, Iren Valova, Muhammad Mamdani, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Francesca M. Filbey, Ben Li and Yves Burnod and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of Surgery.

In The Last Decade

Derek Beaton

49 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derek Beaton Canada 14 123 85 76 65 61 55 579
Rongjiang Jin China 20 119 1.0× 52 0.6× 154 2.0× 67 1.0× 39 0.6× 92 1.3k
Michael Liedlgruber Austria 18 139 1.1× 68 0.8× 51 0.7× 111 1.7× 54 0.9× 48 1.1k
Seung Wan Kang South Korea 19 255 2.1× 70 0.8× 182 2.4× 49 0.8× 22 0.4× 61 1.1k
Haibo Yu China 16 168 1.4× 37 0.4× 123 1.6× 45 0.7× 16 0.3× 68 836
Angela Marra Italy 16 239 1.9× 19 0.2× 160 2.1× 49 0.8× 19 0.3× 57 779
Yan Ma China 20 376 3.1× 89 1.0× 70 0.9× 60 0.9× 52 0.9× 94 1.4k
Xiao Guo China 12 166 1.3× 12 0.1× 18 0.2× 41 0.6× 24 0.4× 23 668
Bernd Taschler United Kingdom 9 84 0.7× 32 0.4× 119 1.6× 13 0.2× 32 0.5× 13 1.1k
Brian Caffo United States 14 237 1.9× 45 0.5× 53 0.7× 11 0.2× 78 1.3× 31 788

Countries citing papers authored by Derek Beaton

Since Specialization
Citations

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

Fields of papers citing papers by Derek Beaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derek Beaton

This figure shows the co-authorship network connecting the top 25 collaborators of Derek Beaton. A scholar is included among the top collaborators of Derek Beaton 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 Derek Beaton. Derek Beaton 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.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2025). Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair. Journal of the American Heart Association. 14(5). e039221–e039221. 2 indexed citations
2.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2025). Using machine learning to predict outcomes following transcarotid artery revascularization. Scientific Reports. 15(1). 3924–3924.
3.
Li, Ben, Badr Aljabri, Derek Beaton, et al.. (2025). Predicting outcomes following open abdominal aortic aneurysm repair using machine learning. Scientific Reports. 15(1). 14362–14362.
4.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2025). Predicting mortality risk following major lower extremity amputation using machine learning. Journal of Vascular Surgery. 82(2). 617–631.e8. 1 indexed citations
5.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2024). Predicting lack of clinical improvement following varicose vein ablation using machine learning. Journal of Vascular Surgery Venous and Lymphatic Disorders. 13(3). 102162–102162. 1 indexed citations
6.
Li, Ben, Badr Aljabri, Raj Verma, et al.. (2024). Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning. Journal of the American Heart Association. 13(9). e033194–e033194. 4 indexed citations
7.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2024). Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting. Journal of the American Heart Association. 13(17). e035425–e035425. 3 indexed citations
8.
Malhotra, Armaan K., Christopher Hammill, Derek Beaton, et al.. (2024). Vision Transformer–based Decision Support for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool. Radiology Artificial Intelligence. 6(2). e230088–e230088. 5 indexed citations
9.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2024). Predicting inferior vena cava filter complications using machine learning. Journal of Vascular Surgery Venous and Lymphatic Disorders. 12(6). 101943–101943. 2 indexed citations
10.
Li, Ben, Derek Beaton, Hani Tamim, et al.. (2023). Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. Journal of Vascular Surgery. 77(6). e275–e275. 1 indexed citations
11.
Li, Ben, Raj Verma, Derek Beaton, et al.. (2023). Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. Journal of the American Heart Association. 12(20). e030508–e030508. 11 indexed citations
12.
Li, Ben, Derek Beaton, Hani Tamim, et al.. (2023). Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. Journal of Vascular Surgery. 78(4). e78–e79. 1 indexed citations
13.
Li, Ben, Badr Aljabri, Raj Verma, et al.. (2023). Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair. British journal of surgery. 110(12). 1840–1849. 12 indexed citations
14.
Li, Ben, Raj Verma, Derek Beaton, et al.. (2023). Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning. Journal of Vascular Surgery. 78(6). 1449–1460.e7. 8 indexed citations
15.
Brien, Donald C., Jeff Huang, Brian C. Coe, et al.. (2023). Classification and staging of Parkinson's disease using video-based eye tracking. Parkinsonism & Related Disorders. 110. 105316–105316. 36 indexed citations
16.
Li, Ben, Naomi Eisenberg, Derek Beaton, et al.. (2023). Using machine learning to predict outcomes following suprainguinal bypass. Journal of Vascular Surgery. 79(3). 593–608.e8. 9 indexed citations
17.
Li, Ben, Badr Aljabri, Raj Verma, et al.. (2023). Using machine learning to predict outcomes following open abdominal aortic aneurysm repair. Journal of Vascular Surgery. 78(6). 1426–1438.e6. 12 indexed citations
18.
Krishnan, Anjali, et al.. (2022). Multiblock discriminant correspondence analysis: Exploring group differences with structured categorical data. SHILAP Revista de lepidopterología. 7. 100100–100100. 1 indexed citations
19.
McLaughlin, Paula, Kelly M. Sunderland, Derek Beaton, et al.. (2020). The Quality Assurance and Quality Control Protocol for Neuropsychological Data Collection and Curation in the Ontario Neurodegenerative Disease Research Initiative (ONDRI) Study. Assessment. 28(5). 1267–1286. 13 indexed citations
20.
Abdi, Hervé, et al.. (2014). Differences in Human Cortical Gene Expression Match the Temporal Properties of Large-Scale Functional Networks. PLoS ONE. 9(12). e115913–e115913. 45 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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