J. Flanz

2.8k total citations
70 papers, 1.8k citations indexed

About

J. Flanz is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Electrical and Electronic Engineering. According to data from OpenAlex, J. Flanz has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiation, 31 papers in Pulmonary and Respiratory Medicine and 26 papers in Electrical and Electronic Engineering. Recurrent topics in J. Flanz's work include Radiation Therapy and Dosimetry (31 papers), Particle Accelerators and Free-Electron Lasers (19 papers) and Advanced Radiotherapy Techniques (19 papers). J. Flanz is often cited by papers focused on Radiation Therapy and Dosimetry (31 papers), Particle Accelerators and Free-Electron Lasers (19 papers) and Advanced Radiotherapy Techniques (19 papers). J. Flanz collaborates with scholars based in United States, Australia and France. J. Flanz's co-authors include Hanne M. Kooy, Harald Paganetti, B. Clasie, Hsiao‐Ming Lu, Nicolas Depauw, R. S. Hicks, E Cascio, Alexei Trofimov, Thomas F. DeLaney and Leo E. Gerweck and has published in prestigious journals such as Physical Review Letters, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

J. Flanz

64 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Flanz United States 23 1.1k 1.1k 338 333 260 70 1.8k
Maria Grazia Pia Italy 19 774 0.7× 504 0.5× 253 0.7× 214 0.6× 228 0.9× 127 1.3k
U. Amaldi Switzerland 22 641 0.6× 771 0.7× 1.6k 4.7× 353 1.1× 206 0.8× 81 2.5k
G. Battistoni Italy 24 1.9k 1.8× 1.7k 1.6× 941 2.8× 704 2.1× 489 1.9× 135 3.2k
Y. Iwata Japan 28 1.0k 0.9× 1.1k 1.0× 433 1.3× 1.3k 3.8× 175 0.7× 193 3.1k
A. Mantero Italy 15 743 0.7× 966 0.9× 135 0.4× 302 0.9× 218 0.8× 34 1.5k
F. Romanò Italy 26 1.6k 1.5× 1.5k 1.4× 660 2.0× 523 1.6× 439 1.7× 190 2.3k
G.A.P. Cirrone Italy 29 2.1k 2.0× 2.3k 2.1× 608 1.8× 605 1.8× 764 2.9× 266 3.4k
A. Fazzi Italy 21 647 0.6× 349 0.3× 329 1.0× 529 1.6× 102 0.4× 118 1.3k
R. K. Tripathi United States 21 543 0.5× 893 0.8× 457 1.4× 193 0.6× 119 0.5× 115 1.6k
T. M. Cannon United States 14 529 0.5× 185 0.2× 174 0.5× 150 0.5× 378 1.5× 26 1.4k

Countries citing papers authored by J. Flanz

Since Specialization
Citations

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

Fields of papers citing papers by J. Flanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Flanz

This figure shows the co-authorship network connecting the top 25 collaborators of J. Flanz. A scholar is included among the top collaborators of J. Flanz 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 J. Flanz. J. Flanz 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.
Clasie, B., et al.. (2022). A deep LSTM autoencoder-based framework for predictive maintenance of a proton radiotherapy delivery system. Artificial Intelligence in Medicine. 132. 102387–102387. 9 indexed citations
2.
Zhang, Rongxiao, Kyung‐Wook Jee, E Cascio, et al.. (2017). Improvement of single detector proton radiography by incorporating intensity of time-resolved dose rate functions. Physics in Medicine and Biology. 63(1). 15030–15030. 14 indexed citations
3.
Tran, Linh T., Lachlan Chartier, David Bolst, et al.. (2017). Characterization of proton pencil beam scanning and passive beam using a high spatial resolution solid‐state microdosimeter. Medical Physics. 44(11). 6085–6095. 53 indexed citations
4.
Bentefour, E. H., et al.. (2017). Investigation of time-resolved proton radiography using x-ray flat-panel imaging system. Physics in Medicine and Biology. 62(5). 1905–1919. 18 indexed citations
5.
Arjomandy, B, Eric Klein, Paige A. Taylor, et al.. (2015). SU‐E‐T‐649: Quality Assurances for Proton Therapy Delivery Equipment. Medical Physics. 42(6Part22). 3485–3486. 1 indexed citations
6.
Clasie, B., Hanne M. Kooy, & J. Flanz. (2015). PBS machine interlocks using EWMA. Physics in Medicine and Biology. 61(1). 400–412. 9 indexed citations
7.
Flanz, J. & Thomas Bortfeld. (2013). Evolution of Technology to Optimize the Delivery of Proton Therapy: The Third Generation. Seminars in Radiation Oncology. 23(2). 142–148. 22 indexed citations
8.
Dowdell, S, B. Clasie, Nicolas Depauw, et al.. (2012). Monte Carlo study of the potential reduction in out-of-field dose using a patient-specific aperture in pencil beam scanning proton therapy. Physics in Medicine and Biology. 57(10). 2829–2842. 49 indexed citations
9.
Clasie, B., Nicolas Depauw, Carles Gomà, et al.. (2012). Golden beam data for proton pencil-beam scanning. Physics in Medicine and Biology. 57(5). 1147–1158. 73 indexed citations
10.
Clasie, B., G Sharp, Joao Seco, J. Flanz, & Hanne M. Kooy. (2012). Numerical solutions of the γ-index in two and three dimensions. Physics in Medicine and Biology. 57(21). 6981–6997. 29 indexed citations
11.
Dowdell, S, B. Clasie, Nicolas Depauw, et al.. (2012). MO-F-213AB-03: Potential Reduction in Out-Of-Field Dose in Pencil Beam Scanning Proton Therapy Through Use of a Patient-Specific Aperture. Medical Physics. 39(6Part21). 3872–3872. 1 indexed citations
12.
Sarfehnia, Arman, B. Clasie, Hsiao‐Ming Lu, et al.. (2010). Direct absorbed dose to water determination based on water calorimetry in scanning proton beam delivery. Medical Physics. 37(7Part1). 3541–3550. 22 indexed citations
13.
Suit, Herman D., Thomas F. DeLaney, S. Nahum Goldberg, et al.. (2010). Proton vs carbon ion beams in the definitive radiation treatment of cancer patients. Radiotherapy and Oncology. 95(1). 3–22. 220 indexed citations
14.
Kooy, Hanne M., B. Clasie, Hsiao‐Ming Lu, et al.. (2010). A Case Study in Proton Pencil-Beam Scanning Delivery. International Journal of Radiation Oncology*Biology*Physics. 76(2). 624–630. 99 indexed citations
15.
Flanz, J. & Alfred R. Smith. (2009). Technology for Proton Therapy. The Cancer Journal. 15(4). 292–297. 8 indexed citations
16.
Parodi, Katia, Harald Paganetti, E Cascio, et al.. (2007). PET/CT imaging for treatment verification after proton therapy: A study with plastic phantoms and metallic implants. Medical Physics. 34(2). 419–435. 116 indexed citations
17.
Engelsman, Martijn, Stanley Rosenthal, Judith Adams, et al.. (2005). Intra‐ and interfractional patient motion for a variety of immobilization devices. Medical Physics. 32(11). 3468–3474. 45 indexed citations
18.
Kooy, Hanne M., Stanley Rosenthal, Martijn Engelsman, et al.. (2005). The prediction of output factors for spread-out proton Bragg peak fields in clinical practice. Physics in Medicine and Biology. 50(24). 5847–5856. 44 indexed citations
19.
Baghaei, H., Andrzej Cichocki, J. Flanz, et al.. (1990). Elastic magnetic electron scattering fromCa41. Physical Review C. 42(6). 2358–2366. 13 indexed citations
20.
Flanz, J., et al.. (1988). MIT-Bates South Hall Ring. 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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