Robert Homan

1.0k total citations
30 papers, 739 citations indexed

About

Robert Homan is a scholar working on Biomedical Engineering, Surgery and Computer Vision and Pattern Recognition. According to data from OpenAlex, Robert Homan has authored 30 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 15 papers in Surgery and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Robert Homan's work include Medical Image Segmentation Techniques (10 papers), Anatomy and Medical Technology (9 papers) and Spinal Fractures and Fixation Techniques (8 papers). Robert Homan is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Anatomy and Medical Technology (9 papers) and Spinal Fractures and Fixation Techniques (8 papers). Robert Homan collaborates with scholars based in Netherlands, Sweden and United States. Robert Homan's co-authors include Draženko Babić, John M. Racadio, Adrian Elmi‐Terander, Michael Söderman, Rami Nachabé, Judy M. Racadio, Erik Edström, Gustav Burström, Halldór Skúlason and Oscar Persson and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Robert Homan

30 papers receiving 725 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 Homan Netherlands 16 389 328 195 184 124 30 739
Draženko Babić Netherlands 19 636 1.6× 471 1.4× 307 1.6× 157 0.9× 260 2.1× 36 1.1k
Everine B. van de Kraats Netherlands 12 232 0.6× 188 0.6× 148 0.8× 166 0.9× 126 1.0× 17 463
Jon J. Camp United States 13 194 0.5× 140 0.4× 137 0.7× 88 0.5× 54 0.4× 41 602
Michael D. Ketcha United States 16 272 0.7× 399 1.2× 225 1.2× 149 0.8× 109 0.9× 54 644
Sunghwan Lim United States 10 132 0.3× 207 0.6× 70 0.4× 46 0.3× 41 0.3× 26 411
David Lindisch United States 12 349 0.9× 285 0.9× 189 1.0× 141 0.8× 23 0.2× 25 728
Steven Bandula United Kingdom 9 182 0.5× 103 0.3× 272 1.4× 166 0.9× 54 0.4× 19 647
Jens Kowal Switzerland 18 523 1.3× 324 1.0× 407 2.1× 116 0.6× 112 0.9× 53 1.2k
Vance Watson United States 8 210 0.5× 305 0.9× 76 0.4× 75 0.4× 29 0.2× 16 484
Sebastian Schäfer United States 21 291 0.7× 573 1.7× 630 3.2× 216 1.2× 40 0.3× 90 1.3k

Countries citing papers authored by Robert Homan

Since Specialization
Citations

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

Fields of papers citing papers by Robert Homan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Homan

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Homan. A scholar is included among the top collaborators of Robert Homan 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 Homan. Robert Homan 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.
Mourik, Martijn S. van, et al.. (2022). Assessing the accuracy of a new 3D2D registration algorithm based on a non-invasive skin marker model for navigated spine surgery. International Journal of Computer Assisted Radiology and Surgery. 17(10). 1933–1945. 4 indexed citations
2.
Lai, Marco, Simon Skyrman, Robert Homan, et al.. (2022). Development of a CT-Compatible, Anthropomorphic Skull and Brain Phantom for Neurosurgical Planning, Training, and Simulation. Bioengineering. 9(10). 537–537. 8 indexed citations
3.
Burström, Gustav, Marcin Balicki, Alexandru Patriciu, et al.. (2020). Feasibility and accuracy of a robotic guidance system for navigated spine surgery in a hybrid operating room: a cadaver study. Scientific Reports. 10(1). 7522–7522. 30 indexed citations
4.
5.
Lai, Marco, Caifeng Shan, Draženko Babić, et al.. (2019). Image fusion on the endoscopic view for endo-nasal skull-base surgery. TU/e Research Portal. 4 indexed citations
6.
Buerger, Christian, Cristian Lorenz, Robert Homan, et al.. (2017). Spine segmentation from C-arm CT data sets: application to region-of-interest volumes for spinal interventions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10135. 101351N–101351N. 1 indexed citations
7.
Racadio, John M., et al.. (2016). Augmented Reality on a C-Arm System: A Preclinical Assessment for Percutaneous Needle Localization. Radiology. 281(1). 249–255. 28 indexed citations
8.
Elmi‐Terander, Adrian, Halldór Skúlason, Michael Söderman, et al.. (2016). Surgical Navigation Technology Based on Augmented Reality and Integrated 3D Intraoperative Imaging. Spine. 41(21). E1303–E1311. 114 indexed citations
9.
Petković, Tomislav, Robert Homan, & Sven Lončarić. (2013). Real-time 3D position reconstruction of guidewire for monoplane X-ray. Computerized Medical Imaging and Graphics. 38(3). 211–223. 7 indexed citations
10.
Bom, I.M.J. van der, Stefan Klein, Marius Staring, et al.. (2011). Evaluation of optimization methods for intensity-based 2D-3D registration in x-ray guided interventions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 796223–796223. 38 indexed citations
11.
Ruijters, Daniël, et al.. (2011). Validation of 3D multimodality roadmapping in interventional neuroradiology. Physics in Medicine and Biology. 56(16). 5335–5354. 31 indexed citations
12.
Pluim, Josien P. W., Matthew J. Gounis, Everine B. van de Kraats, et al.. (2011). Registration of 2D x-ray images to 3D MRI by generating pseudo-CT data. Physics in Medicine and Biology. 56(4). 1031–1043. 17 indexed citations
13.
Petković, Tomislav, et al.. (2011). Non-iterative guidewire reconstruction from multiple projective views. 639–643. 3 indexed citations
14.
Bartels, Lambertus W., Matthew J. Gounis, Robert Homan, et al.. (2010). Robust initialization of 2D-3D image registration using the projection-slice theorem and phase correlation. Medical Physics. 37(4). 1884–1892. 23 indexed citations
15.
Spelle, Laurent, et al.. (2009). First clinical experience in applying XperGuide in embolization of jugular paragangliomas by direct intratumoral puncture. International Journal of Computer Assisted Radiology and Surgery. 4(6). 527–533. 15 indexed citations
16.
Racadio, John M., Draženko Babić, Robert Homan, et al.. (2007). Live 3D Guidance in the Interventional Radiology Suite. American Journal of Roentgenology. 189(6). W357–W364. 100 indexed citations
17.
Ruijters, Daniël, et al.. (2007). 3D multimodality roadmapping in neuroangiography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6509. 65091F–65091F. 5 indexed citations
18.
Söderman, Michael, et al.. (2005). 3D roadmap in neuroangiography: technique and clinical interest. Neuroradiology. 47(10). 735–740. 60 indexed citations
19.
Berkhoff, Arthur P., J.M. Thijssen, & Robert Homan. (1996). Simulation of ultrasonic imaging with linear arrays in causal absorptive media. Ultrasound in Medicine & Biology. 22(2). 245–259. 12 indexed citations
20.
Berkhoff, Arthur P., et al.. (1994). Fast Scan Conversion Algorithms for Displaying Ultrasound Sector Images. Ultrasonic Imaging. 16(2). 87–108. 28 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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