K Bzdusek

1.2k total citations
32 papers, 971 citations indexed

About

K Bzdusek is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, K Bzdusek has authored 32 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiation, 24 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in K Bzdusek's work include Advanced Radiotherapy Techniques (30 papers), Medical Imaging Techniques and Applications (16 papers) and Radiation Therapy and Dosimetry (10 papers). K Bzdusek is often cited by papers focused on Advanced Radiotherapy Techniques (30 papers), Medical Imaging Techniques and Applications (16 papers) and Radiation Therapy and Dosimetry (10 papers). K Bzdusek collaborates with scholars based in United States, Netherlands and Canada. K Bzdusek's co-authors include Michael R. Kaus, Kjell Eriksson, Björn Hårdemark, David M. Robinson, Todd McNutt, Wolfgang A. Tomé, Nicholas Hardcastle, Jesper Grau Eriksen, Carsten Brink and Eugene Wong and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

K Bzdusek

32 papers receiving 957 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
K Bzdusek 892 631 596 184 70 32 971
A. Delaney 537 0.6× 348 0.6× 336 0.6× 99 0.5× 94 1.3× 15 638
Hui Yan 875 1.0× 821 1.3× 553 0.9× 266 1.4× 30 0.4× 66 1.1k
Eliana Vásquez Osorio 713 0.8× 672 1.1× 478 0.8× 154 0.8× 104 1.5× 88 1.1k
Wouter Crijns 850 1.0× 662 1.0× 559 0.9× 218 1.2× 60 0.9× 59 1.1k
Michael Velec 724 0.8× 650 1.0× 418 0.7× 205 1.1× 25 0.4× 50 974
Mu‐Han Lin 773 0.9× 658 1.0× 466 0.8× 250 1.4× 54 0.8× 104 993
Jim P. Tol 610 0.7× 348 0.6× 398 0.7× 81 0.4× 109 1.6× 18 694
Nobutaka Mukumoto 839 0.9× 657 1.0× 509 0.9× 273 1.5× 18 0.3× 79 929
Stuart Swerdloff 779 0.9× 600 1.0× 551 0.9× 138 0.8× 32 0.5× 6 892
Andrea McNiven 564 0.6× 496 0.8× 380 0.6× 169 0.9× 105 1.5× 42 767

Countries citing papers authored by K Bzdusek

Since Specialization
Citations

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

Fields of papers citing papers by K Bzdusek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Bzdusek

This figure shows the co-authorship network connecting the top 25 collaborators of K Bzdusek. A scholar is included among the top collaborators of K Bzdusek 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 K Bzdusek. K Bzdusek 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.
Kusters, Martijn, K. Miki, K Bzdusek, et al.. (2022). Evaluation of two independent dose prediction methods to personalize the automated radiotherapy planning process for prostate cancer. Physics and Imaging in Radiation Oncology. 21. 24–29. 3 indexed citations
2.
Depauw, Nicolas, Jani Keyriläinen, Sami Suilamo, et al.. (2019). MRI-based IMPT planning for prostate cancer. Radiotherapy and Oncology. 144. 79–85. 8 indexed citations
3.
Yamamoto, Tokihiro, Sven Kabus, M. Bal, et al.. (2018). Changes in Regional Ventilation During Treatment and Dosimetric Advantages of CT Ventilation Image Guided Radiation Therapy for Locally Advanced Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 102(4). 1366–1373. 23 indexed citations
4.
Bzdusek, K, P. Senthil Kumar, Martina Kunze-Busch, et al.. (2017). Automated IMRT planning in Pinnacle. Strahlentherapie und Onkologie. 193(12). 1031–1038. 34 indexed citations
5.
Wu, Binbin, Martijn Kusters, Martina Kunze-Busch, et al.. (2017). Cross-institutional knowledge-based planning (KBP) implementation and its performance comparison to Auto-Planning Engine (APE). Radiotherapy and Oncology. 123(1). 57–62. 48 indexed citations
6.
Battista, Jerry, Carol Johnson, D. Turnbull, et al.. (2013). Dosimetric and Radiobiological Consequences of Computed Tomography–Guided Adaptive Strategies for Intensity Modulated Radiation Therapy of the Prostate. International Journal of Radiation Oncology*Biology*Physics. 87(5). 874–880. 12 indexed citations
7.
Hardcastle, Nicholas, Wouter van Elmpt, Dirk De Ruysscher, K Bzdusek, & Wolfgang A. Tomé. (2013). Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy. Radiation Oncology. 8(1). 243–243. 58 indexed citations
9.
Hardcastle, Nicholas, Wolfgang A. Tomé, Donald M. Cannon, et al.. (2012). A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy. Radiation Oncology. 7(1). 90–90. 73 indexed citations
10.
Bharat, Shyam, Parag J. Parikh, C. Noël, et al.. (2011). Motion-compensated estimation of delivered dose during external beam radiation therapy: Implementation in Philips’ Pinnacle3treatment planning system. Medical Physics. 39(1). 437–443. 8 indexed citations
11.
Bzdusek, K, et al.. (2011). Co‐60 tomotherapy: A treatment planning investigation. Medical Physics. 38(2). 556–564. 12 indexed citations
12.
Mihaylov, I, et al.. (2011). Biological Optimization in Volumetric Modulated Arc Radiotherapy for Prostate Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 82(3). 1292–1298. 12 indexed citations
13.
Gaede, Stewart, Jason Olsthoorn, Alexander V. Louie, et al.. (2011). An evaluation of an automated 4D-CT contour propagation tool to define an internal gross tumour volume for lung cancer radiotherapy. Radiotherapy and Oncology. 101(2). 322–328. 36 indexed citations
14.
Mihaylov, I, K Bzdusek, & Michael R. Kaus. (2011). Carbon fiber couch effects on skin dose for volumetric modulated arcs. Medical Physics. 38(5). 2419–2423. 12 indexed citations
15.
Greer, Peter B., et al.. (2009). An energy fluence‐convolution model for amorphous silicon EPID dose prediction. Medical Physics. 36(2). 547–555. 25 indexed citations
16.
Bzdusek, K, et al.. (2009). Development and evaluation of an efficient approach to volumetric arc therapy planning. Medical Physics. 36(6Part1). 2328–2339. 178 indexed citations
17.
Starkschall, George, Keith R. Britton, Mary Frances McAleer, et al.. (2009). Potential Dosimetric Benefits of Four-Dimensional Radiation Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 73(5). 1560–1565. 37 indexed citations
18.
Bzdusek, K, et al.. (2008). MO-D-351-02: An Efficient Approach To Volumetric Modulated Arc Therapy Optimization and Sequencing. Medical Physics. 35(6Part19). 2867–2867. 1 indexed citations
19.
Meijer, Gert J., K Bzdusek, Hetty A. van den Berg, et al.. (2008). What CTV-to-PTV Margins Should Be Applied for Prostate Irradiation? Four-Dimensional Quantitative Assessment Using Model-Based Deformable Image Registration Techniques. International Journal of Radiation Oncology*Biology*Physics. 72(5). 1416–1425. 56 indexed citations
20.
Ehler, E, K Bzdusek, & Wolfgang A. Tomé. (2008). A Method to Automate the Segmentation of the GTV and ITV for Lung Tumors. Medical dosimetry. 34(2). 145–153. 9 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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