Wojciech Zbijewski

3.9k total citations
178 papers, 3.1k citations indexed

About

Wojciech Zbijewski is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wojciech Zbijewski has authored 178 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Biomedical Engineering, 144 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wojciech Zbijewski's work include Advanced X-ray and CT Imaging (128 papers), Medical Imaging Techniques and Applications (127 papers) and Radiation Dose and Imaging (89 papers). Wojciech Zbijewski is often cited by papers focused on Advanced X-ray and CT Imaging (128 papers), Medical Imaging Techniques and Applications (127 papers) and Radiation Dose and Imaging (89 papers). Wojciech Zbijewski collaborates with scholars based in United States, Germany and Netherlands. Wojciech Zbijewski's co-authors include Jeffrey H. Siewerdsen, J. Webster Stayman, Freek J. Beekman, Alejandro Sisniega, J. Yorkston, Grace J. Gang, Gaurav K. Thawait, John A. Carrino, Jennifer Xu and Shadpour Demehri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Journal of Bone and Joint Surgery.

In The Last Decade

Wojciech Zbijewski

173 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wojciech Zbijewski United States 29 2.3k 2.3k 502 401 367 178 3.1k
J. Webster Stayman United States 31 2.6k 1.1× 2.7k 1.2× 639 1.3× 448 1.1× 361 1.0× 237 3.6k
J. Yorkston United States 25 1.4k 0.6× 1.4k 0.6× 806 1.6× 205 0.5× 939 2.6× 95 2.5k
Nathan J. Packard United States 17 665 0.3× 953 0.4× 169 0.3× 173 0.4× 559 1.5× 37 1.3k
Yoshito Otake Japan 27 993 0.4× 642 0.3× 141 0.3× 826 2.1× 99 0.3× 158 2.0k
Herbert Bruder Germany 29 4.3k 1.9× 5.1k 2.3× 233 0.5× 473 1.2× 542 1.5× 61 5.7k
Daniela Pfeiffer Germany 25 984 0.4× 1.3k 0.6× 326 0.6× 182 0.5× 337 0.9× 118 2.0k
Karl Stierstorfer Germany 31 3.7k 1.6× 4.1k 1.8× 279 0.6× 341 0.9× 530 1.4× 132 4.6k
Julian L. Wichmann Germany 41 3.7k 1.6× 4.1k 1.8× 79 0.2× 760 1.9× 506 1.4× 182 5.1k
Sven Prevrhal United States 18 685 0.3× 736 0.3× 135 0.3× 491 1.2× 170 0.5× 46 1.8k
Moritz H. Albrecht Germany 38 2.7k 1.2× 3.3k 1.5× 66 0.1× 1.1k 2.7× 532 1.4× 148 4.7k

Countries citing papers authored by Wojciech Zbijewski

Since Specialization
Citations

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

Fields of papers citing papers by Wojciech Zbijewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wojciech Zbijewski

This figure shows the co-authorship network connecting the top 25 collaborators of Wojciech Zbijewski. A scholar is included among the top collaborators of Wojciech Zbijewski 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 Wojciech Zbijewski. Wojciech Zbijewski 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.
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Breighner, Ryan, Kendall F. Moseley, Timothy F. Witham, et al.. (2025). Effects of nonstationary system blur on radiomic texture features of trabecular bone in normal and ultra‐high resolution CT. Medical Physics. 52(7). e17943–e17943.
3.
Zhang, Xiaoxuan, Craig Jones, Wojciech Zbijewski, et al.. (2024). Deformable registration of preoperative MR and intraoperative long-length tomosynthesis images for guidance of spine surgery via image synthesis. Computerized Medical Imaging and Graphics. 114. 102365–102365. 2 indexed citations
4.
Zbijewski, Wojciech, et al.. (2024). Vessel-targeted compensation of deformable motion in interventional cone-beam CT. Medical Image Analysis. 97. 103254–103254. 1 indexed citations
5.
Siewerdsen, Jeffrey H., et al.. (2024). Deformable motion compensation in interventional cone‐beam CT with a context‐aware learned autofocus metric. Medical Physics. 51(6). 4158–4180. 1 indexed citations
6.
7.
Zhang, Xiaoxuan, Craig Jones, Jeffrey H. Siewerdsen, et al.. (2023). Multi-modality registration of preoperative MR and intraoperative long-length tomosynthesis using GAN synthesis and 3D-2D registration. 48–48. 1 indexed citations
8.
Zhan, Xiaohui, et al.. (2023). Effects of bowtie scatter on material decomposition in photon-counting CT. 5–5. 2 indexed citations
9.
Zhou, Yuxiao, Ashley L. Farris, Ethan L. Nyberg, et al.. (2023). Geometric Mismatch Promotes Anatomic Repair in Periorbital Bony Defects in Skeletally Mature Yucatan Minipigs. Advanced Healthcare Materials. 12(29). e2301944–e2301944. 1 indexed citations
10.
J, Li, et al.. (2020). High-Resolution Model-based Material Decomposition for Multi-Layer Flat-Panel Detectors.. PubMed. 2020. 62–64. 3 indexed citations
11.
Sisniega, Alejandro, et al.. (2019). Image-based deformable motion compensation for interventional cone-beam CT. 59–59. 4 indexed citations
12.
Wu, Pengwei, J. Webster Stayman, Alejandro Sisniega, et al.. (2018). Statistical weights for model-based reconstruction in cone-beam CT with electronic noise and dual-gain detector readout. Physics in Medicine and Biology. 63(24). 245018–245018. 8 indexed citations
13.
Zbijewski, Wojciech, et al.. (2018). Model-based material decomposition with a penalized nonlinear least-squares CT reconstruction algorithm. Physics in Medicine and Biology. 64(3). 35005–35005. 20 indexed citations
14.
Jacobson, Matthew W., et al.. (2017). Penalized-Likelihood Reconstruction With High-Fidelity Measurement Models for High-Resolution Cone-Beam Imaging. IEEE Transactions on Medical Imaging. 37(4). 988–999. 30 indexed citations
15.
Dang, Hao, J. Webster Stayman, Jennifer Xu, et al.. (2017). Task-based statistical image reconstruction for high-quality cone-beam CT. Physics in Medicine and Biology. 62(22). 8693–8719. 10 indexed citations
16.
Netto, César de César, Lew C. Schon, Gaurav K. Thawait, et al.. (2017). Flexible Adult Acquired Flatfoot Deformity. Journal of Bone and Joint Surgery. 99(18). e98–e98. 111 indexed citations
17.
Gang, Grace J., et al.. (2016). Design of dual multiple aperture devices for dynamical fluence field modulated CT.. PubMed. 2016. 29–32. 9 indexed citations
18.
Nuyts, Johan, Bruno De Man, Jeffrey A. Fessler, Wojciech Zbijewski, & Freek J. Beekman. (2013). Modelling the physics in the iterative reconstruction for transmission computed tomography. Physics in Medicine and Biology. 58(12). R63–R96. 149 indexed citations
19.
Nithiananthan, S., Sebastian Schäfer, Daniel Mirota, et al.. (2012). Extra‐dimensional Demons: A method for incorporating missing tissue in deformable image registration. Medical Physics. 39(9). 5718–5731. 47 indexed citations
20.
Zbijewski, Wojciech & Freek J. Beekman. (2006). Comparison of methods for suppressing edge and aliasing artefacts in iterative x-ray CT reconstruction. Physics in Medicine and Biology. 51(7). 1877–1889. 20 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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