Marta Kersten‐Oertel

1.7k total citations
59 papers, 1.1k citations indexed

About

Marta Kersten‐Oertel is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Marta Kersten‐Oertel has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 20 papers in Surgery and 16 papers in Biomedical Engineering. Recurrent topics in Marta Kersten‐Oertel's work include Augmented Reality Applications (23 papers), Surgical Simulation and Training (16 papers) and Anatomy and Medical Technology (11 papers). Marta Kersten‐Oertel is often cited by papers focused on Augmented Reality Applications (23 papers), Surgical Simulation and Training (16 papers) and Anatomy and Medical Technology (11 papers). Marta Kersten‐Oertel collaborates with scholars based in Canada, United States and France. Marta Kersten‐Oertel's co-authors include D. Louis Collins, Ian J. Gerard, Denis Sirhan, Jeffery A. Hall, Simon Drouin, Pierre Jannin, Kevin Petrecca, Tiberiu Popa, Sean Jy-Shyang Chen and James Stewart and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Marta Kersten‐Oertel

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Kersten‐Oertel Canada 15 509 419 388 175 114 59 1.1k
Luis Serra Singapore 17 359 0.7× 407 1.0× 324 0.8× 94 0.5× 104 0.9× 42 1.0k
Steven Pieper United States 13 261 0.5× 166 0.4× 228 0.6× 380 2.2× 43 0.4× 21 1.1k
Simon Drouin Canada 11 268 0.5× 268 0.6× 208 0.5× 74 0.4× 56 0.5× 26 500
Ali Alaraj United States 19 220 0.4× 481 1.1× 335 0.9× 91 0.5× 151 1.3× 52 1.3k
Jaesung Hong South Korea 21 503 1.0× 662 1.6× 689 1.8× 83 0.5× 85 0.7× 86 1.3k
Philip Edwards United Kingdom 21 710 1.4× 515 1.2× 525 1.4× 185 1.1× 40 0.4× 45 1.3k
Cristián Luciano United States 18 420 0.8× 987 2.4× 727 1.9× 71 0.4× 48 0.4× 43 1.4k
Fabrizio Cutolo Italy 20 904 1.8× 804 1.9× 556 1.4× 36 0.2× 70 0.6× 64 1.3k
Marina Carbone Italy 17 509 1.0× 600 1.4× 460 1.2× 103 0.6× 47 0.4× 58 1.1k
András Lassó Canada 21 459 0.9× 727 1.7× 826 2.1× 593 3.4× 162 1.4× 124 1.8k

Countries citing papers authored by Marta Kersten‐Oertel

Since Specialization
Citations

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

Fields of papers citing papers by Marta Kersten‐Oertel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Kersten‐Oertel. 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 Marta Kersten‐Oertel. The network helps show where Marta Kersten‐Oertel may publish in the future.

Co-authorship network of co-authors of Marta Kersten‐Oertel

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Kersten‐Oertel. A scholar is included among the top collaborators of Marta Kersten‐Oertel 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 Marta Kersten‐Oertel. Marta Kersten‐Oertel 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.
Tampieri, Donatella, et al.. (2025). CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke. Computerized Medical Imaging and Graphics. 123. 102550–102550.
2.
Low‐Kam, Cécile, et al.. (2025). Precision‐Weighted Federated Learning. Computational Intelligence. 41(6). 1 indexed citations
3.
Kersten‐Oertel, Marta, et al.. (2025). iSurgARy: A mobile augmented reality solution for ventriculostomy in resource‐limited settings. Healthcare Technology Letters. 12(1). e12118–e12118. 2 indexed citations
4.
Xiao, Yiming, et al.. (2024). Virtual and Augmented Reality in Ventriculostomy: A Systematic Review. World Neurosurgery. 189. 90–107. 4 indexed citations
5.
Xiao, Yiming, et al.. (2024). SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage. Computerized Medical Imaging and Graphics. 113. 102346–102346. 2 indexed citations
6.
Hooshiar, Amir, et al.. (2024). A usability analysis of augmented reality and haptics for surgical planning. International Journal of Computer Assisted Radiology and Surgery. 19(10). 2069–2078. 2 indexed citations
7.
8.
Kersten‐Oertel, Marta, et al.. (2024). Architecture Analysis and Benchmarking of 3D U-Shaped Deep Learning Models for Thoracic Anatomical Segmentation. IEEE Access. 12. 127592–127603. 1 indexed citations
9.
Masino, Caterina, Adnan Alseidi, Daniel A. Hashimoto, et al.. (2024). LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy. Surgical Endoscopy. 38(9). 5274–5284. 3 indexed citations
10.
Masino, Caterina, et al.. (2024). Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game. JMIR Formative Research. 8. e52878–e52878. 3 indexed citations
11.
Kersten‐Oertel, Marta, et al.. (2022). An Online Balance Training Application using Pose Estimation and Augmented Reality. 168–176. 1 indexed citations
12.
Kersten‐Oertel, Marta, et al.. (2022). Assessment of user-interaction strategies for neurosurgical data navigation and annotation in virtual reality. Virtual Reality. 27(2). 1345–1355. 2 indexed citations
13.
Gerard, Ian J., Marta Kersten‐Oertel, Jeffery A. Hall, Denis Sirhan, & D. Louis Collins. (2021). Brain Shift in Neuronavigation of Brain Tumors: An Updated Review of Intra-Operative Ultrasound Applications. Frontiers in Oncology. 10. 618837–618837. 47 indexed citations
14.
Kersten‐Oertel, Marta, et al.. (2021). A novel prototype for virtual-reality-based deep brain stimulation trajectory planning using voodoo doll annotation and eye-tracking. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 10(4). 418–424. 7 indexed citations
15.
Tampieri, Donatella, et al.. (2020). Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition. International Journal of Computer Assisted Radiology and Surgery. 15(9). 1501–1511. 19 indexed citations
16.
Drouin, Simon, et al.. (2017). Quantifying attention shifts in augmented reality image‐guided neurosurgery. Healthcare Technology Letters. 4(5). 188–192. 83 indexed citations
17.
Kersten‐Oertel, Marta, Sean Jy-Shyang Chen, & D. Louis Collins. (2013). An Evaluation of Depth Enhancing Perceptual Cues for Vascular Volume Visualization in Neurosurgery. IEEE Transactions on Visualization and Computer Graphics. 20(3). 391–403. 57 indexed citations
18.
Wilk, Szymon, Wojtek Michalowski, Ken Farion, & Marta Kersten‐Oertel. (2007). Interaction design for mobile clinical decision support systems: the MET system solutions. Foundations of Computing and Decision Sciences. 47–61. 5 indexed citations
19.
Inoue, Jiro, Marta Kersten‐Oertel, Burton Ma, et al.. (2006). Fast assessment of acetabular coverage using stereoscopic volume rendering.. PubMed. 119. 225–7. 3 indexed citations
20.
Kersten‐Oertel, Marta, James Stewart, Nikolaus F. Troje, & Randy E. Ellis. (2006). Enhancing Depth Perception in Translucent Volumes. IEEE Transactions on Visualization and Computer Graphics. 12(5). 1117–1124. 41 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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