András Zolnay

647 total citations
33 papers, 482 citations indexed

About

András Zolnay is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, András Zolnay has authored 33 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiation, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in András Zolnay's work include Advanced Radiotherapy Techniques (17 papers), Speech Recognition and Synthesis (8 papers) and Medical Imaging Techniques and Applications (7 papers). András Zolnay is often cited by papers focused on Advanced Radiotherapy Techniques (17 papers), Speech Recognition and Synthesis (8 papers) and Medical Imaging Techniques and Applications (7 papers). András Zolnay collaborates with scholars based in Netherlands, Germany and Denmark. András Zolnay's co-authors include Hermann Ney, Mischa S. Hoogeman, Ben Heijmen, Ralf Schlüter, Jan Willem Mens, S. Quint, S.T. Heijkoop, S. Umesh, Sara Thörnqvist and Matthias Söhn 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

András Zolnay

30 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
András Zolnay Netherlands 15 240 165 160 143 129 33 482
Alen Docef United States 9 239 1.0× 19 0.1× 248 1.6× 69 0.5× 145 1.1× 29 429
Deborah Schofield United States 10 260 1.1× 22 0.1× 245 1.5× 6 0.0× 201 1.6× 19 404
An Qin China 16 471 2.0× 39 0.2× 325 2.0× 5 0.0× 361 2.8× 57 746
Jiawei Fan China 11 439 1.8× 58 0.4× 402 2.5× 3 0.0× 199 1.5× 29 553
Heinrich Schulz Germany 7 57 0.2× 76 0.5× 134 0.8× 10 0.1× 47 0.4× 20 326
Kei Ichiji Japan 10 111 0.5× 93 0.6× 195 1.2× 6 0.0× 77 0.6× 47 298
Miaofei Han China 11 73 0.3× 134 0.8× 347 2.2× 2 0.0× 103 0.8× 16 481
Anjali Balagopal United States 8 180 0.8× 47 0.3× 221 1.4× 2 0.0× 113 0.9× 11 346
Yesenia Gonzalez United States 10 255 1.1× 66 0.4× 327 2.0× 1 0.0× 116 0.9× 28 491

Countries citing papers authored by András Zolnay

Since Specialization
Citations

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

Fields of papers citing papers by András Zolnay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Zolnay

This figure shows the co-authorship network connecting the top 25 collaborators of András Zolnay. A scholar is included among the top collaborators of András Zolnay 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 András Zolnay. András Zolnay 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.
Pignol, Jean‐Philippe, Emine Kılıç, Nicole C. Naus, et al.. (2025). Stereotactic Radiation Therapy or Protons for Uveal Melanoma Patients? An Artificial Intelligence (AI)-Based Clinical Treatment Decision-Making Tool Predicting Doses To Radiation Therapy Constraints. International Journal of Radiation Oncology*Biology*Physics. 123(4). 1159–1164.
2.
Heijmen, Ben, András Zolnay, Marnix G. Witte, et al.. (2024). Normal tissue complication probability modeling for late rectal bleeding after conventional or hypofractionated radiotherapy for prostate cancer. Clinical and Translational Radiation Oncology. 50. 100886–100886. 1 indexed citations
3.
Nguyen, Dan, Luca Incrocci, A.W. Sharfo, et al.. (2024). Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning. Radiotherapy and Oncology. 203. 110662–110662. 1 indexed citations
4.
Kolkman‐Deurloo, Inger‐Karine K., Linda Rossi, András Zolnay, et al.. (2024). PHSOR07 Presentation Time: 9:30 AM. Brachytherapy. 23(6). S61–S61. 2 indexed citations
5.
Nguyen, Dan, M. Sattler, András Zolnay, et al.. (2024). Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck. Physics in Medicine and Biology. 69(22). 225014–225014.
6.
Godart, Jérémy, et al.. (2024). Margin and robustness settings for a library-of-plans IMPT strategy for locally advanced cervical cancer. Physics in Medicine and Biology. 69(24). 245016–245016.
7.
Pignol, Jean‐Philippe, Emine Kılıç, Maaike T.W. Milder, et al.. (2024). Comparison of stereotactic radiotherapy and protons for uveal melanoma patients. Physics and Imaging in Radiation Oncology. 31. 100605–100605. 2 indexed citations
8.
Godart, Jérémy, J. Penninkhof, S. Quint, et al.. (2023). Nine years of plan of the day for cervical cancer: Plan library remains effective compared to fully online-adaptive techniques. Radiotherapy and Oncology. 190. 110009–110009. 3 indexed citations
9.
Berger, Thomas, Jérémy Godart, Lars Fokdal, et al.. (2020). Dosimetric Impact of Intrafraction Motion in Online-Adaptive Intensity Modulated Proton Therapy for Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 109(5). 1580–1587. 12 indexed citations
10.
Granton, Patrick V., Maaike T.W. Milder, Mauro Loi, et al.. (2019). A model-based patient selection tool to identify who may be at risk of exceeding dose tolerances during pancreatic SBRT. Radiotherapy and Oncology. 141. 116–122. 2 indexed citations
11.
Hysing, L.B., András Zolnay, Svein Inge Helle, et al.. (2018). Statistical motion modelling for robust evaluation of clinically delivered accumulated dose distributions after curative radiotherapy of locally advanced prostate cancer. Radiotherapy and Oncology. 128(2). 327–335. 7 indexed citations
12.
Osorio, Eliana Vásquez, et al.. (2014). Improving anatomical mapping of complexly deformed anatomy for external beam radiotherapy and brachytherapy dose accumulation in cervical cancer. Medical Physics. 42(1). 206–220. 18 indexed citations
13.
Wang, Yibing, András Zolnay, Luca Incrocci, et al.. (2013). A quality control model that uses PTV-rectal distances to predict the lowest achievable rectum dose, improves IMRT planning for patients with prostate cancer. Radiotherapy and Oncology. 107(3). 352–357. 40 indexed citations
14.
Thörnqvist, Sara, L.B. Hysing, András Zolnay, et al.. (2013). Treatment simulations with a statistical deformable motion model to evaluate margins for multiple targets in radiotherapy for high-risk prostate cancer. Radiotherapy and Oncology. 109(3). 344–349. 38 indexed citations
15.
Wognum, Silvia, András Zolnay, Xiaodong Chai, et al.. (2013). Control over structure-specific flexibility improves anatomical accuracy for point-based deformable registration in bladder cancer radiotherapy. Medical Physics. 40(2). 21702–21702. 22 indexed citations
16.
Thörnqvist, Sara, L.B. Hysing, András Zolnay, et al.. (2013). Adaptive radiotherapy in locally advanced prostate cancer using a statistical deformable motion model. Acta Oncologica. 52(7). 1423–1429. 16 indexed citations
17.
Osorio, Eliana Vásquez, Mischa S. Hoogeman, Alejandra Méndèz Romero, et al.. (2012). Accurate CT/MR vessel‐guided nonrigid registration of largely deformed livers. Medical Physics. 39(5). 2463–2477. 23 indexed citations
18.
Schlüter, Ralf, András Zolnay, & Hermann Ney. (2006). Feature combination using linear discriminant analysis and its pitfalls. paper 1077–Mon2BuP.1. 22 indexed citations
19.
Zolnay, András, et al.. (2005). Articulatory motivated acoustic features for speech recognition. 1101–1104. 6 indexed citations
20.
Zolnay, András, Ralf Schlüter, & Hermann Ney. (2003). Extraction methods of voicing feature for robust speech recognition. 497–500. 18 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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