Robert Rohling

7.1k total citations
260 papers, 4.8k citations indexed

About

Robert Rohling is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Robert Rohling has authored 260 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Biomedical Engineering, 133 papers in Radiology, Nuclear Medicine and Imaging and 53 papers in Surgery. Recurrent topics in Robert Rohling's work include Ultrasound Imaging and Elastography (104 papers), Photoacoustic and Ultrasonic Imaging (64 papers) and Medical Imaging and Analysis (36 papers). Robert Rohling is often cited by papers focused on Ultrasound Imaging and Elastography (104 papers), Photoacoustic and Ultrasonic Imaging (64 papers) and Medical Imaging and Analysis (36 papers). Robert Rohling collaborates with scholars based in Canada, United States and United Kingdom. Robert Rohling's co-authors include Septimiu E. Salcudean, Purang Abolmaesumi, Laurence Berman, Andrew H. Gee, Abtin Rasoulian, Victoria A. Lessoway, Richard W. Prager, Ilker Hacihaliloglu, Antony J. Hodgson and John M. Hollerbach and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Hepatology and Optics Express.

In The Last Decade

Robert Rohling

255 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Rohling Canada 35 2.7k 2.1k 1.2k 1.1k 471 260 4.8k
Purang Abolmaesumi Canada 40 2.4k 0.9× 1.9k 0.9× 1.1k 0.9× 1.7k 1.6× 218 0.5× 313 5.6k
Andrew H. Gee United Kingdom 40 1.5k 0.5× 1.7k 0.8× 786 0.7× 1.3k 1.2× 463 1.0× 124 4.2k
Gábor Fichtinger Canada 46 4.5k 1.7× 2.4k 1.2× 2.9k 2.4× 1.9k 1.7× 161 0.3× 415 8.0k
Septimiu E. Salcudean Canada 54 5.3k 1.9× 2.3k 1.1× 1.6k 1.4× 1.5k 1.4× 532 1.1× 387 10.3k
Graham M. Treece United Kingdom 35 1.2k 0.4× 1.3k 0.6× 691 0.6× 641 0.6× 399 0.8× 103 2.9k
Michael I. Miga United States 41 2.6k 1.0× 2.1k 1.0× 1.1k 0.9× 1.6k 1.5× 252 0.5× 231 5.4k
Lena Maier‐Hein Germany 34 1.6k 0.6× 1.4k 0.7× 968 0.8× 1.3k 1.2× 173 0.4× 171 4.3k
Dónal B. Downey Canada 30 1.1k 0.4× 1.0k 0.5× 605 0.5× 818 0.8× 130 0.3× 70 3.2k
Ichiro Sakuma Japan 31 1.5k 0.6× 455 0.2× 914 0.8× 664 0.6× 149 0.3× 299 3.6k
Kevin Cleary United States 40 3.1k 1.1× 1.2k 0.6× 2.3k 1.9× 1.3k 1.2× 41 0.1× 273 6.2k

Countries citing papers authored by Robert Rohling

Since Specialization
Citations

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

Fields of papers citing papers by Robert Rohling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Rohling

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Rohling. A scholar is included among the top collaborators of Robert Rohling 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 Robert Rohling. Robert Rohling 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.
Lu, Jianjun, Ming Lu, Changqing Luo, et al.. (2025). A Polymer-Based CMUT Probe for Imaging the Spinal Cord in Rats. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 72(11). 1437–1447.
3.
Rohling, Robert, et al.. (2024). Multiple photoacoustic sources localization using deep learning. 30–30. 1 indexed citations
4.
Ruiter, Nicole V., et al.. (2023). Exploring the Potentials of polymer-based CMUTs for 3D Ultrasound Computed Tomography. 1–4. 3 indexed citations
5.
Salcudean, Septimiu E., et al.. (2019). A novel gaze-supported multimodal human–computer interaction for ultrasound machines. International Journal of Computer Assisted Radiology and Surgery. 14(7). 1107–1115. 12 indexed citations
6.
Salcudean, Septimiu E., et al.. (2019). Photoacoustic tomography for imaging the prostate: a transurethral illumination probe design and application. Biomedical Optics Express. 10(5). 2588–2588. 23 indexed citations
7.
Liao, Zhibin, Christina Luong, Hany Girgis, et al.. (2018). Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss. IEEE Transactions on Medical Imaging. 38(8). 1821–1832. 58 indexed citations
8.
Peterlík, Igor, Hadrien Courtecuisse, Robert Rohling, et al.. (2017). Fast elastic registration of soft tissues under large deformations. Medical Image Analysis. 45. 24–40. 40 indexed citations
9.
Honarvar, Mohammad, Julio Lobo, Omid Mohareri, Septimiu E. Salcudean, & Robert Rohling. (2015). Direct vibro-elastography FEM inversion in Cartesian and cylindrical coordinate systems without the local homogeneity assumption. Physics in Medicine and Biology. 60(9). 3847–3868. 14 indexed citations
10.
Rasoulian, Abtin, et al.. (2013). Statistical Shape Model to 3D Ultrasound Registration for Spine Interventions Using Enhanced Local Phase Features. Lecture notes in computer science. 16(Pt 2). 361–368. 11 indexed citations
11.
Yip, Michael C., et al.. (2010). 3D Ultrasound to Stereoscopic Camera Registration through an Air-Tissue Boundary. Lecture notes in computer science. 13(Pt 2). 626–634. 11 indexed citations
12.
Salcudean, Septimiu E., et al.. (2010). A high-frame-rate ultrasound system for the study of tissue motions. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 57(7). 1535–1547. 27 indexed citations
13.
Khosravi, Sara, Robert Rohling, & Peter Lawrence. (2007). One-step Needle Pose Estimation for Ultrasound Guided Biopsies. Conference proceedings. 2007. 3343–3346. 9 indexed citations
14.
Rohling, Robert, et al.. (2006). Tracking a 3-D ultrasound probe with constantly visible fiducials. Ultrasound in Medicine & Biology. 33(1). 152–157. 6 indexed citations
15.
Smith, L. C., et al.. (2005). Automatic detection of fiducial markers in fluoroscopy images for on‐line calibration. Medical Physics. 32(6Part1). 1521–1523. 8 indexed citations
16.
Archip, Neculai, et al.. (2005). Spectral Clustering Algorithms for Ultrasound Image Segmentation. Lecture notes in computer science. 8(Pt 2). 862–869. 14 indexed citations
17.
Rohling, Robert, et al.. (2005). Comparison of calibration methods for spatial tracking of a 3-D ultrasound probe. Ultrasound in Medicine & Biology. 31(8). 1095–1108. 46 indexed citations
18.
Tsui, Jonathan H., et al.. (2004). iScout: An Intelligent Scout for Accessing and Navigating Large Image Sets in a PACS. Journal of Digital Imaging. 17(2). 109–119. 2 indexed citations
19.
Zhang, Youwei, Robert Rohling, & Dinesh K. Pai. (2002). Direct surface extraction from 3D freehand ultrasound images. IEEE Visualization. 45–52. 27 indexed citations
20.
Rohling, Robert, et al.. (1995). Comparison of relative accuracy between a mechanical and an optical position tracker for image-guided neurosurgery. PubMed. 1(1). 30–34. 55 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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