X. Franceries

889 total citations
43 papers, 685 citations indexed

About

X. Franceries is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, X. Franceries has authored 43 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiation, 22 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in X. Franceries's work include Advanced Radiotherapy Techniques (21 papers), Radiation Therapy and Dosimetry (14 papers) and Advanced MRI Techniques and Applications (10 papers). X. Franceries is often cited by papers focused on Advanced Radiotherapy Techniques (21 papers), Radiation Therapy and Dosimetry (14 papers) and Advanced MRI Techniques and Applications (10 papers). X. Franceries collaborates with scholars based in France and United States. X. Franceries's co-authors include Pierre Celsis, E. Cassol, F. Lago, Pierre Freton, Jean‐Jacques Gonzalez, L. Simon, L. Vieillevigne, S. Ken, Anne Laprie and Thomas Filleron and has published in prestigious journals such as Journal of Applied Physics, NeuroImage and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

X. Franceries

41 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
X. Franceries France 12 218 184 184 124 91 43 685
Yuxuan Zhang United States 15 384 1.8× 54 0.3× 346 1.9× 195 1.6× 166 1.8× 126 1.1k
Kevin Burke United States 13 171 0.8× 205 1.1× 241 1.3× 99 0.8× 12 0.1× 63 1.1k
Blaine A. Chronik Canada 20 763 3.5× 99 0.5× 84 0.5× 76 0.6× 279 3.1× 85 1.4k
Yongquan Ye China 20 872 4.0× 221 1.2× 25 0.1× 262 2.1× 86 0.9× 49 1.4k
Lothar Spies Germany 18 597 2.7× 135 0.7× 194 1.1× 118 1.0× 15 0.2× 50 1.0k
Roel Van Holen Belgium 25 1.3k 6.1× 99 0.5× 684 3.7× 135 1.1× 201 2.2× 116 1.7k
Rachel Sparks United Kingdom 19 428 2.0× 142 0.8× 32 0.2× 273 2.2× 37 0.4× 75 1.3k
Frank Schreiber Germany 17 125 0.6× 72 0.4× 121 0.7× 51 0.4× 195 2.1× 60 952
John E. Kirsch United States 24 1.1k 5.0× 152 0.8× 40 0.2× 127 1.0× 175 1.9× 66 1.6k
Jonathan Bishop Canada 17 1.1k 5.0× 90 0.5× 28 0.2× 102 0.8× 70 0.8× 30 1.8k

Countries citing papers authored by X. Franceries

Since Specialization
Citations

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

Fields of papers citing papers by X. Franceries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Franceries

This figure shows the co-authorship network connecting the top 25 collaborators of X. Franceries. A scholar is included among the top collaborators of X. Franceries 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 X. Franceries. X. Franceries 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.
Nemmi, Federico, et al.. (2024). Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps. Artificial Intelligence in Medicine. 153. 102897–102897. 2 indexed citations
2.
Franceries, X., et al.. (2023). A convolutional neural network model for EPID‐based non‐transit dosimetry. Journal of Applied Clinical Medical Physics. 24(6). e13923–e13923. 3 indexed citations
3.
Sarton, Benjamine, et al.. (2022). Multimodal MRI-Based Whole-Brain Assessment in Patients In Anoxoischemic Coma by Using 3D Convolutional Neural Networks. Neurocritical Care. 37(S2). 303–312. 7 indexed citations
4.
Chauvin, M., L. Vieillevigne, R. Ferrand, et al.. (2021). A study of the interplay effect in radiation therapy using a Monte-Carlo model. Physica Medica. 87. 73–82. 6 indexed citations
5.
Chauvin, M., X. Franceries, L. Vieillevigne, et al.. (2021). Technical note: GAMMORA, a free, open-source, and validated GATE-based model for Monte-Carlo simulations of the Varian TrueBeam. Physica Medica. 89. 211–218. 4 indexed citations
6.
Ferrand, R., et al.. (2020). A study of the interplay effect for VMAT SBRT using a four‐axes motion phantom. Journal of Applied Clinical Medical Physics. 21(8). 208–215. 13 indexed citations
7.
Vieillevigne, L., et al.. (2020). Dosimetric performance of continuous EPID imaging in stereotactic treatment conditions. Physica Medica. 78. 117–122. 5 indexed citations
8.
Pereda‐Loth, Veronica, X. Franceries, Guillemette Gauquelin‐Koch, et al.. (2017). An innovative in vitro device providing continuous low doses of γ-rays mimicking exposure to the space environment: A dosimetric study. Life Sciences in Space Research. 16. 38–46. 2 indexed citations
9.
Vieillevigne, L., et al.. (2017). Monte Carlo dose calculation in presence of low-density media: Application to lung SBRT treated during DIBH. Physica Medica. 41. 46–52. 13 indexed citations
10.
Bordage, Marie‐Claude, M. Terrissol, X. Franceries, et al.. (2016). Implementation of new physics models for low energy electrons in liquid water in Geant4-DNA. Physica Medica. 32(12). 1833–1840. 58 indexed citations
11.
Latorzeff, I., et al.. (2015). 2D EPID dose calibration for pretreatment quality control of conformal and IMRT fields: A simple and fast convolution approach. Physica Medica. 32(1). 133–140. 17 indexed citations
12.
Cassol, E., I. Latorzeff, Jean Sabatier, et al.. (2013). An optimized calibration method for surface measurements with MOSFETs in shaped-beam radiosurgery. Physica Medica. 30(1). 10–17. 4 indexed citations
13.
Ken, S., L. Vieillevigne, X. Franceries, et al.. (2013). Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost. Radiation Oncology. 8(1). 1–1. 189 indexed citations
14.
Pariente, Jérémie, X. Franceries, Nicolas Chauveau, et al.. (2010). Water diffusion in q-space imaging as a probe of cell local viscosity and anomalous diffusion in grey and white matter. Diffusion fundamentals.. 14. 1 indexed citations
15.
Chauveau, Nicolas, et al.. (2008). Cortical Imaging on a Head Template: A Simulation Study Using a Resistor Mesh Model (RMM). Brain Topography. 21(1). 52–60. 4 indexed citations
16.
Tardy, Jean, Jérémie Pariente, Anne Léger, et al.. (2006). Methylphenidate modulates cerebral post-stroke reorganization. NeuroImage. 33(3). 913–922. 46 indexed citations
17.
Loubinoux, Isabelle, D. Tombari, Jérémie Pariente, et al.. (2005). Modulation of behavior and cortical motor activity in healthy subjects by a chronic administration of a serotonin enhancer. NeuroImage. 27(2). 299–313. 65 indexed citations
18.
Chauveau, Nicolas, J.P. Morucci, X. Franceries, Pierre Celsis, & B. Rigaud. (2005). Resistor mesh model of a spherical head: Part 2: A review of applications to cortical mapping. Medical & Biological Engineering & Computing. 43(6). 703–711. 1 indexed citations
19.
20.
Franceries, X., et al.. (2001). Skull smearing effect on event related potentials investigated with a resistor mesh model. Technology and Health Care. 9(1). 132–134. 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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