Robert Bujila

697 total citations
29 papers, 471 citations indexed

About

Robert Bujila is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Robert Bujila has authored 29 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Biomedical Engineering and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Robert Bujila's work include Radiation Dose and Imaging (25 papers), Advanced X-ray and CT Imaging (24 papers) and Medical Imaging Techniques and Applications (8 papers). Robert Bujila is often cited by papers focused on Radiation Dose and Imaging (25 papers), Advanced X-ray and CT Imaging (24 papers) and Medical Imaging Techniques and Applications (8 papers). Robert Bujila collaborates with scholars based in Sweden, United States and Norway. Robert Bujila's co-authors include Gavin Poludniowski, Artur Omar, Pedro Andreo, Mats Danielsson, Annette Fransson, Mats Persson, Martin Sjölin, Hans Bornefalk, Björn Cederström and Zhye Yin and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Physics in Medicine and Biology.

In The Last Decade

Robert Bujila

26 papers receiving 466 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 Bujila Sweden 12 368 355 133 97 28 29 471
K Cranley United Kingdom 7 307 0.8× 233 0.7× 80 0.6× 159 1.6× 27 1.0× 19 385
X. John Rong United States 7 229 0.6× 224 0.6× 57 0.4× 113 1.2× 17 0.6× 11 339
Sebastian Ehn Germany 14 528 1.4× 563 1.6× 101 0.8× 40 0.4× 8 0.3× 18 628
Artur Omar Sweden 12 288 0.8× 240 0.7× 153 1.2× 124 1.3× 35 1.3× 25 483
Thorsten Sellerer Germany 11 349 0.9× 395 1.1× 108 0.8× 31 0.3× 6 0.2× 19 441
Stephen M. Kengyelics United Kingdom 10 206 0.6× 154 0.4× 60 0.5× 152 1.6× 24 0.9× 19 325
Jean Rinkel France 11 268 0.7× 315 0.9× 121 0.9× 52 0.5× 19 0.7× 24 397
Yasuki Asada Japan 11 259 0.7× 151 0.4× 56 0.4× 94 1.0× 27 1.0× 53 341
O. P. Dzyubak United States 8 515 1.4× 501 1.4× 51 0.4× 154 1.6× 6 0.2× 18 627
Toshioh Fujibuchi Japan 13 404 1.1× 255 0.7× 229 1.7× 187 1.9× 39 1.4× 107 563

Countries citing papers authored by Robert Bujila

Since Specialization
Citations

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

Fields of papers citing papers by Robert Bujila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Bujila

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Bujila. A scholar is included among the top collaborators of Robert Bujila 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 Bujila. Robert Bujila 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.
Pickhardt, Perry J., Meghan G. Lubner, Giuseppe V. Toia, et al.. (2025). Effect of Patient Positioning on CT Number Accuracy: A Phantom Study Comparing Energy Integrating and Deep Silicon Photon Counting Detector CT. Journal of Computer Assisted Tomography. 49(2). 297–307. 2 indexed citations
2.
3.
Nyrén, Sven, Qi Yu, Torkel B. Brismar, et al.. (2023). Initial Clinical Images From a Second-Generation Prototype Silicon-Based Photon-Counting Computed Tomography System. Academic Radiology. 31(2). 572–581. 25 indexed citations
4.
Lundberg, Johan, Martin Sjölin, Mats Persson, et al.. (2020). Feasibility of unconstrained three-material decomposition: imaging an excised human heart using a prototype silicon photon-counting CT detector. European Radiology. 30(11). 5904–5912. 25 indexed citations
5.
Bujila, Robert, Artur Omar, & Gavin Poludniowski. (2020). A validation of SpekPy: A software toolkit for modelling X-ray tube spectra. Physica Medica. 75. 44–54. 58 indexed citations
6.
Poludniowski, Gavin, et al.. (2019). The synthetic localizer radiograph – A new CT scan planning method. Physica Medica. 61. 58–63. 3 indexed citations
7.
Bujila, Robert, et al.. (2019). Ultra-low-dose CT for extremities in an acute setting: initial experience with 203 subjects. Skeletal Radiology. 49(4). 531–539. 19 indexed citations
8.
Cederström, Björn, et al.. (2019). Resolution characterization of a silicon-based, photon-counting computed tomography prototype capable of patient scanning. Journal of Medical Imaging. 6(4). 1–1. 46 indexed citations
9.
Bujila, Robert, et al.. (2018). Applying three different methods of measuring CTDIfree air to the extended CTDI formalism for wide‐beam scanners (IEC 60601–2–44): A comparative study. Journal of Applied Clinical Medical Physics. 19(4). 281–289. 7 indexed citations
10.
Bujila, Robert, et al.. (2017). The dosimetric impact of including the patient table in CT dose estimates. Physics in Medicine and Biology. 62(23). N538–N547. 6 indexed citations
11.
Nordenskjöld, Arvid, Robert Bujila, Peter Aspelin, Olof Flodmark, & Magnus Kaijser. (2017). Risk of Meningioma after CT of the Head. Radiology. 285(2). 568–575. 7 indexed citations
12.
Omar, Artur, Robert Bujila, Annette Fransson, Pedro Andreo, & Gavin Poludniowski. (2016). A framework for organ dose estimation in x-ray angiography and interventional radiology based on dose-related data in DICOM structured reports. Physics in Medicine and Biology. 61(8). 3063–3083. 18 indexed citations
13.
Bujila, Robert, Annette Fransson, & Gavin Poludniowski. (2016). Practical approaches to approximating MTF and NPS in CT with an example application to task-based observer studies. Physica Medica. 33. 16–25. 7 indexed citations
14.
Persson, Mats, et al.. (2016). Upper limits of the photon fluence rate on CT detectors: Case study on a commercial scanner. Medical Physics. 43(7). 4398–4411. 34 indexed citations
15.
Ödén, Jakob, et al.. (2015). Technical Note: On the calculation of stopping‐power ratio for stoichiometric calibration in proton therapy. Medical Physics. 42(9). 5252–5257. 11 indexed citations
16.
Bujila, Robert, et al.. (2015). Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study. Journal of Applied Clinical Medical Physics. 16(4). 254–265. 33 indexed citations
18.
Omar, Artur, et al.. (2014). Monte Carlo investigation of backscatter factors for skin dose determination in interventional neuroradiology procedures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 90331T–90331T. 4 indexed citations
19.
Bujila, Robert, et al.. (2013). Expanded analysis of occupational dose in interventional and diagnostic fluoroscopy with the use of active dosimeters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8668. 86683X–86683X. 3 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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