V. Bashkirov

5.5k total citations
91 papers, 1.8k citations indexed

About

V. Bashkirov is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, V. Bashkirov has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Pulmonary and Respiratory Medicine, 69 papers in Radiation and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in V. Bashkirov's work include Radiation Therapy and Dosimetry (70 papers), Radiation Detection and Scintillator Technologies (41 papers) and Nuclear Physics and Applications (40 papers). V. Bashkirov is often cited by papers focused on Radiation Therapy and Dosimetry (70 papers), Radiation Detection and Scintillator Technologies (41 papers) and Nuclear Physics and Applications (40 papers). V. Bashkirov collaborates with scholars based in United States, Australia and Germany. V. Bashkirov's co-authors include R. Schulte, H. F-W. Sadrozinski, R. P. Johnson, Robert F. Hurley, D. C. Williams, B. Großwendt, Guy Garty, S. Shchemelinin, A. Zatserklyaniy and T. Satogata and has published in prestigious journals such as Physics Letters B, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

V. Bashkirov

89 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
V. Bashkirov 1.4k 1.3k 485 318 230 91 1.8k
F. Romanò 1.5k 1.0× 1.6k 1.2× 439 0.9× 660 2.1× 523 2.3× 190 2.3k
P. Nieminen 1.1k 0.8× 883 0.7× 272 0.6× 267 0.8× 448 1.9× 91 1.9k
Jörg Pawelke 2.3k 1.6× 2.4k 1.9× 988 2.0× 477 1.5× 450 2.0× 94 3.0k
B. Großwendt 1.2k 0.8× 1.2k 0.9× 451 0.9× 150 0.5× 321 1.4× 126 2.1k
D. Dauvergne 1.3k 0.9× 1.5k 1.2× 344 0.7× 168 0.5× 222 1.0× 93 1.8k
M. Torikoshi 566 0.4× 660 0.5× 309 0.6× 146 0.5× 227 1.0× 89 1.1k
Elke Beyreuther 841 0.6× 722 0.6× 356 0.7× 238 0.7× 118 0.5× 55 1.1k
Till T. Böhlen 1.9k 1.3× 1.8k 1.4× 434 0.9× 293 0.9× 546 2.4× 55 2.4k
Leonhard Karsch 793 0.6× 739 0.6× 264 0.5× 304 1.0× 151 0.7× 44 1.1k
Étienne Testa 1.5k 1.0× 1.5k 1.2× 404 0.8× 87 0.3× 207 0.9× 76 1.7k

Countries citing papers authored by V. Bashkirov

Since Specialization
Citations

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

Fields of papers citing papers by V. Bashkirov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Bashkirov

This figure shows the co-authorship network connecting the top 25 collaborators of V. Bashkirov. A scholar is included among the top collaborators of V. Bashkirov 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 V. Bashkirov. V. Bashkirov 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.
Rykalin, V., Mark Pankuch, G. Coutrakon, et al.. (2021). Proof of concept image artifact reduction by energy-modulated proton computed tomography (EMpCT). Physica Medica. 81. 237–244. 13 indexed citations
2.
Dedes, G., Valentina Giacometti, Simon Rit, et al.. (2020). The role of Monte Carlo simulation in understanding the performance of proton computed tomography. Zeitschrift für Medizinische Physik. 32(1). 23–38. 13 indexed citations
3.
Dedes, G., Philipp Wesp, R. P. Johnson, et al.. (2019). Experimental comparison of proton CT and dual energy x-ray CT for relative stopping power estimation in proton therapy. Physics in Medicine and Biology. 64(16). 165002–165002. 59 indexed citations
4.
Schubert, Keith E., et al.. (2019). Robust iterative methods: Convergence and applications to proton computed tomography. AIP conference proceedings. 2160. 50008–50008.
5.
Wesp, Philipp, Simon Rit, Mark Pankuch, et al.. (2019). Prediction of image noise contributions in proton computed tomography and comparison to measurements. Physics in Medicine and Biology. 64(14). 145016–145016. 22 indexed citations
6.
Volz, Lennart, Pierluigi Piersimoni, V. Bashkirov, et al.. (2018). The impact of secondary fragments on the image quality of helium ion imaging. Physics in Medicine and Biology. 63(19). 195016–195016. 21 indexed citations
7.
Rit, Simon, David C. Hansen, Claus Belka, et al.. (2017). Application of fluence field modulation to proton computed tomography for proton therapy imaging. Physics in Medicine and Biology. 62(15). 6026–6043. 14 indexed citations
8.
Sadrozinski, H. F-W., R. P. Johnson, Tia Plautz, et al.. (2016). Operation of the preclinical head scanner for proton CT. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 831. 394–399. 29 indexed citations
9.
Bashkirov, V., R. Schulte, Robert F. Hurley, et al.. (2016). Novel scintillation detector design and performance for proton radiography and computed tomography. Medical Physics. 43(2). 664–674. 61 indexed citations
10.
Clarke, Shaun D., et al.. (2016). A scintillator‐based approach to monitor secondary neutron production during proton therapy. Medical Physics. 43(11). 5915–5924. 14 indexed citations
11.
Casiraghi, Margherita, V. Bashkirov, Robert F. Hurley, & R. Schulte. (2015). Characterisation of a track structure imaging detector. Radiation Protection Dosimetry. 166(1-4). 223–227. 9 indexed citations
12.
Johnson, R. P., V. Bashkirov, H. Langley DeWitt, et al.. (2015). A Fast Experimental Scanner for Proton CT: Technical Performance and First Experience With Phantom Scans. IEEE Transactions on Nuclear Science. 63(1). 52–60. 64 indexed citations
13.
Hurley, Robert F., R. Schulte, V. Bashkirov, et al.. (2012). Water‐equivalent path length calibration of a prototype proton CT scanner. Medical Physics. 39(5). 2438–2446. 48 indexed citations
14.
Schulte, R., Andrew Wroe, V. Bashkirov, et al.. (2008). Nanodosimetry-based quality factors for radiation protection in space. Zeitschrift für Medizinische Physik. 18(4). 286–296. 27 indexed citations
15.
Bashkirov, V., R. Schulte, A. Breskin, et al.. (2006). Ion-counting nanodosemeter with particle tracking capabilities. Radiation Protection Dosimetry. 122(1-4). 415–419. 15 indexed citations
16.
Garty, Guy, R. Schulte, S. Shchemelinin, et al.. (2006). First attempts at prediction of DNA strand-break yields using nanodosimetric data. Radiation Protection Dosimetry. 122(1-4). 451–454. 26 indexed citations
17.
Leloup, Corinne, Guy Garty, Gad Assaf, et al.. (2005). Evaluation of lesion clustering in irradiated plasmid DNA. International Journal of Radiation Biology. 81(1). 41–54. 85 indexed citations
18.
Schulte, R., V. Bashkirov, Guy Garty, et al.. (2003). Ion-counting nanodosimetry: current status and future applications. Australasian Physical & Engineering Sciences in Medicine. 26(4). 149–155. 4 indexed citations
19.
Garty, Guy, S. Shchemelinin, A. Breskin, et al.. (2002). Wall-less Ion-counting Nanodosimetry Applied to Protons. Radiation Protection Dosimetry. 99(1). 325–330. 22 indexed citations
20.
Bashkirov, V. & R. Schulte. (2002). Dosimetry system for the irradiation of thin biological samples with therapeutic proton beams. Physics in Medicine and Biology. 47(3). 409–420. 4 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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