G. Kragl

1.1k total citations
19 papers, 931 citations indexed

About

G. Kragl is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. Kragl has authored 19 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiation, 16 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. Kragl's work include Advanced Radiotherapy Techniques (16 papers), Radiation Therapy and Dosimetry (16 papers) and Radiation Dose and Imaging (7 papers). G. Kragl is often cited by papers focused on Advanced Radiotherapy Techniques (16 papers), Radiation Therapy and Dosimetry (16 papers) and Radiation Dose and Imaging (7 papers). G. Kragl collaborates with scholars based in Austria, Sweden and United Kingdom. G. Kragl's co-authors include Dietmar Georg, Tommy Knöös, Brendan McClean, Thilo Elsässer, Marcus Winter, Klaus‐Josef Weber, M. Scholz, Stephan Brons, Michael Krämer and Thomas Friedrich and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

G. Kragl

19 papers receiving 912 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Kragl Austria 13 819 769 435 124 120 19 931
A. Mazal France 21 1.0k 1.3× 1.0k 1.3× 443 1.0× 78 0.6× 184 1.5× 75 1.4k
T. Toshito Japan 21 1.1k 1.3× 1.1k 1.4× 283 0.7× 66 0.5× 190 1.6× 86 1.4k
Laura Caplier France 2 750 0.9× 861 1.1× 339 0.8× 47 0.4× 146 1.2× 3 989
Yuanshui Zheng United States 20 1.1k 1.4× 1.1k 1.5× 343 0.8× 91 0.7× 111 0.9× 56 1.4k
Anthony Mascia United States 18 891 1.1× 944 1.2× 377 0.9× 55 0.4× 148 1.2× 51 1.2k
Jungwook Shin United States 13 596 0.7× 653 0.8× 228 0.5× 66 0.5× 93 0.8× 49 814
Minglei Kang United States 22 1.0k 1.3× 1.0k 1.4× 309 0.7× 92 0.7× 167 1.4× 76 1.2k
M. Moteabbed United States 18 967 1.2× 1.1k 1.4× 380 0.9× 77 0.6× 106 0.9× 35 1.2k
Kikuo Umegaki Japan 15 632 0.8× 591 0.8× 314 0.7× 97 0.8× 76 0.6× 60 822
Jonathan B. Farr United States 16 736 0.9× 737 1.0× 241 0.6× 61 0.5× 120 1.0× 40 903

Countries citing papers authored by G. Kragl

Since Specialization
Citations

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

Fields of papers citing papers by G. Kragl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Kragl

This figure shows the co-authorship network connecting the top 25 collaborators of G. Kragl. A scholar is included among the top collaborators of G. Kragl 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 G. Kragl. G. Kragl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Carlino, Antonio, Till T. Böhlen, Stanislav Vatnitsky, et al.. (2019). Commissioning of pencil beam and Monte Carlo dose engines for non-isocentric treatments in scanned proton beam therapy. Physics in Medicine and Biology. 64(17). 17NT01–17NT01. 20 indexed citations
2.
Martino, G., et al.. (2019). OC-0673 LET variation as a function of different optimization approaches in proton beam therapy. Radiotherapy and Oncology. 133. S354–S354. 1 indexed citations
3.
Grevillot, Loïc, H. Fuchs, Antonio Carlino, et al.. (2019). Clinical implementation and commissioning of the MedAustron Particle Therapy Accelerator for non‐isocentric scanned proton beam treatments. Medical Physics. 47(2). 380–392. 24 indexed citations
4.
Carlino, Antonio, C. Gouldstone, G. Kragl, et al.. (2018). End-to-end tests using alanine dosimetry in scanned proton beams. Physics in Medicine and Biology. 63(5). 55001–55001. 18 indexed citations
5.
Carlino, Antonio, G. Kragl, Till T. Böhlen, et al.. (2018). 10. Dosimetric commissioning of PB and MC algorithms for a synchrotron based proton PBS delivery. Physica Medica. 56. 66–67. 1 indexed citations
6.
Stock, Markus, Dietmar Georg, G. Kragl, et al.. (2017). The technological basis for adaptive ion beam therapy at MedAustron: Status and outlook. Zeitschrift für Medizinische Physik. 28(3). 196–210. 61 indexed citations
7.
Góra, Joanna, et al.. (2017). OC-0340: Validation of HU to mass density conversion curve: Proton range measurements in animal tissues. Radiotherapy and Oncology. 123. S178–S179. 1 indexed citations
8.
Georg, Dietmar, J. Hopfgartner, Joanna Góra, et al.. (2014). Dosimetric Considerations to Determine the Optimal Technique for Localized Prostate Cancer Among External Photon, Proton, or Carbon-Ion Therapy and High-Dose-Rate or Low-Dose-Rate Brachytherapy. International Journal of Radiation Oncology*Biology*Physics. 88(3). 715–722. 65 indexed citations
9.
Lechner, Wolfgang, G. Kragl, & Dietmar Georg. (2013). Evaluation of treatment plan quality of IMRT and VMAT with and without flattening filter using Pareto optimal fronts. Radiotherapy and Oncology. 109(3). 437–441. 32 indexed citations
10.
Kragl, G., et al.. (2013). Impact of a flattening filter free linear accelerator on structural shielding design. Zeitschrift für Medizinische Physik. 24(1). 38–48. 11 indexed citations
11.
Lechner, Wolfgang, G. Kragl, & Dietmar Georg. (2012). PD-0243 TREATMENT PLAN QUALITY OF IMRT AND VMAT WITH AND WITHOUT FLATTENING FILTER – COMPARISON USING PARETO OPTIMAL FRONTS. Radiotherapy and Oncology. 103. S97–S97. 3 indexed citations
12.
Kragl, G., et al.. (2011). Radiation therapy with unflattened photon beams: Dosimetric accuracy of advanced dose calculation algorithms. Radiotherapy and Oncology. 100(3). 417–423. 27 indexed citations
13.
Fotina, Irina, et al.. (2011). Clinical Comparison of Dose Calculation Using the Enhanced Collapsed Cone Algorithm vs. a New Monte Carlo Algorithm. Strahlentherapie und Onkologie. 187(7). 433–441. 23 indexed citations
14.
Kragl, G., Franziska Baier‐Mosch, Steffen Lutz, et al.. (2010). Flattening filter free beams in SBRT and IMRT: Dosimetric assessment of peripheral doses. Zeitschrift für Medizinische Physik. 21(2). 91–101. 118 indexed citations
15.
Elsässer, Thilo, Thomas Friedrich, Marco Durante, et al.. (2010). Quantification of the Relative Biological Effectiveness for Ion Beam Radiotherapy: Direct Experimental Comparison of Proton and Carbon Ion Beams and a Novel Approach for Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 78(4). 1177–1183. 268 indexed citations
16.
Kragl, G., Crister Ceberg, Dietmar Georg, et al.. (2010). A Monte Carlo study of a flattening filter-free linear accelerator verified with measurements. Physics in Medicine and Biology. 55(23). 7333–7344. 57 indexed citations
17.
Kragl, G., et al.. (2009). Dosimetric characteristics of 6 and 10MV unflattened photon beams. Radiotherapy and Oncology. 93(1). 141–146. 147 indexed citations
18.
Georg, Dietmar, et al.. (2009). Photon beam quality variations of a flattening filter free linear accelerator. Medical Physics. 37(1). 49–53. 53 indexed citations
19.
Kragl, G., et al.. (2009). FLATTENING FILTER FREE BEAMS IN IMRT AND SBRT: DOSIMETRIC ASS ESSMENTOF PERIPHERAL DOSE. Radiotherapy and Oncology. 92. S152–S153. 1 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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