Carles Gomà

705 total citations
23 papers, 496 citations indexed

About

Carles Gomà is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Carles Gomà has authored 23 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiation, 20 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Carles Gomà's work include Radiation Therapy and Dosimetry (19 papers), Advanced Radiotherapy Techniques (13 papers) and Radiation Detection and Scintillator Technologies (8 papers). Carles Gomà is often cited by papers focused on Radiation Therapy and Dosimetry (19 papers), Advanced Radiotherapy Techniques (13 papers) and Radiation Detection and Scintillator Technologies (8 papers). Carles Gomà collaborates with scholars based in Switzerland, Spain and Belgium. Carles Gomà's co-authors include Sairos Safai, Josep Sempau, Pedro Andreo, Hanne M. Kooy, Edmond Sterpin, Frank Verhaegen, Isabel P. Almeida, D. Meer, Stefano Lorentini and Klemens Zink 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

Carles Gomà

23 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carles Gomà Switzerland 14 424 415 97 94 51 23 496
Francesco Fracchiolla Italy 15 519 1.2× 507 1.2× 82 0.8× 160 1.7× 74 1.5× 38 602
Jonas Johansson Sweden 10 331 0.8× 299 0.7× 29 0.3× 180 1.9× 41 0.8× 19 388
Jakob Ödén Sweden 12 339 0.8× 342 0.8× 59 0.6× 153 1.6× 23 0.5× 29 388
Ronald X. Zhu United States 12 505 1.2× 520 1.3× 51 0.5× 205 2.2× 42 0.8× 21 568
Roger A. Hälg Switzerland 13 318 0.8× 307 0.7× 25 0.3× 178 1.9× 39 0.8× 25 397
Naoya Saotome Japan 14 300 0.7× 263 0.6× 75 0.8× 131 1.4× 66 1.3× 31 358
Ana Lourenço United Kingdom 13 474 1.1× 355 0.9× 57 0.6× 301 3.2× 104 2.0× 25 562
Jatinder Saini United States 12 384 0.9× 395 1.0× 45 0.5× 132 1.4× 37 0.7× 40 507
Victor K. Yu United States 3 176 0.4× 261 0.6× 54 0.6× 124 1.3× 8 0.2× 5 300
Yohsuke Kusano Japan 10 267 0.6× 265 0.6× 45 0.5× 106 1.1× 29 0.6× 24 351

Countries citing papers authored by Carles Gomà

Since Specialization
Citations

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

Fields of papers citing papers by Carles Gomà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carles Gomà

This figure shows the co-authorship network connecting the top 25 collaborators of Carles Gomà. A scholar is included among the top collaborators of Carles Gomà 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 Carles Gomà. Carles Gomà 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.
Gomà, Carles, Oliver Jäkel, Stefano Lorentini, et al.. (2024). ESTRO-EPTN radiation dosimetry guidelines for the acquisition of proton pencil beam modelling data. Physics and Imaging in Radiation Oncology. 31. 100621–100621. 1 indexed citations
2.
Gomà, Carles, et al.. (2023). Monte Carlo calculated ionization chamber correction factors in clinical proton beams – deriving uncertainties from published data. Physica Medica. 113. 102655–102655. 8 indexed citations
3.
Benegas, Mariana, Marcelo Sánchez, Iván Vollmer, et al.. (2023). Biological equivalent dose is associated with radiological toxicity after lung stereotactic ablative radiation therapy. Radiotherapy and Oncology. 183. 109552–109552. 1 indexed citations
4.
Peters, Nils, Vicki Trier Taasti, Benjamin Ackermann, et al.. (2023). Consensus guide on CT-based prediction of stopping-power ratio using a Hounsfield look-up table for proton therapy. Radiotherapy and Oncology. 184. 109675–109675. 28 indexed citations
5.
Zink, Klemens, M. Pimpinella, P. Teles, et al.. (2020). Calculated beam quality correction factors for ionization chambers in MV photon beams. Physics in Medicine and Biology. 65(7). 75003–75003. 9 indexed citations
6.
Toscano, S., Kevin Souris, Carles Gomà, et al.. (2019). Impact of machine log-files uncertainties on the quality assurance of proton pencil beam scanning treatment delivery. Physics in Medicine and Biology. 64(9). 95021–95021. 17 indexed citations
7.
Gomà, Carles & Edmond Sterpin. (2019). Monte Carlo calculation of beam quality correction factors in proton beams using PENH. Physics in Medicine and Biology. 64(18). 185009–185009. 27 indexed citations
8.
9.
Gomà, Carles, Isabel P. Almeida, & Frank Verhaegen. (2018). Revisiting the single-energy CT calibration for proton therapy treatment planning: a critical look at the stoichiometric method. Physics in Medicine and Biology. 63(23). 235011–235011. 37 indexed citations
10.
Gomà, Carles, et al.. (2018). [P132] Robust proton CSI planning in proteusone. Physica Medica. 52. 137–137. 1 indexed citations
11.
Gomà, Carles, et al.. (2017). Reference dosimetry of proton pencil beams based on dose-area product: a proof of concept. Physics in Medicine and Biology. 62(12). 4991–5005. 18 indexed citations
12.
Gomà, Carles, Pedro Andreo, & Josep Sempau. (2016). Monte Carlo calculation of beam quality correction factors in proton beams using detailed simulation of ionization chambers. Physics in Medicine and Biology. 61(6). 2389–2406. 41 indexed citations
13.
Gomà, Carles, et al.. (2015). The role of a microDiamond detector in the dosimetry of proton pencil beams. Zeitschrift für Medizinische Physik. 26(1). 88–94. 20 indexed citations
14.
Gomà, Carles, et al.. (2015). Experimental validation of beam quality correction factors for proton beams. Physics in Medicine and Biology. 60(8). 3207–3216. 18 indexed citations
15.
Gomà, Carles, Stefano Lorentini, D. Meer, & Sairos Safai. (2014). Proton beam monitor chamber calibration. Physics in Medicine and Biology. 59(17). 4961–4971. 46 indexed citations
16.
Gomà, Carles, Pedro Andreo, & Josep Sempau. (2013). Spencer–Attix water/medium stopping-power ratios for the dosimetry of proton pencil beams. Physics in Medicine and Biology. 58(8). 2509–2522. 23 indexed citations
17.
Jimenez, Rachel, Carles Gomà, Jacqueline A. Nyamwanda, et al.. (2013). Intensity modulated proton therapy for postmastectomy radiation of bilateral implant reconstructed breasts: A treatment planning study. Radiotherapy and Oncology. 107(2). 213–217. 68 indexed citations
18.
Gomà, Carles, et al.. (2013). CloudMC: a cloud computing application for Monte Carlo simulation. Physics in Medicine and Biology. 58(8). N125–N133. 20 indexed citations
19.
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
20.
Gomà, Carles, et al.. (2011). Radiation dose assessment in a 320‐detector‐row CT scanner used in cardiac imaging. Medical Physics. 38(3). 1473–1480. 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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