B. Rigaud

1.4k total citations
61 papers, 961 citations indexed

About

B. Rigaud is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, B. Rigaud has authored 61 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Radiation and 19 papers in Electrical and Electronic Engineering. Recurrent topics in B. Rigaud's work include Advanced Radiotherapy Techniques (28 papers), Electrical and Bioimpedance Tomography (19 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). B. Rigaud is often cited by papers focused on Advanced Radiotherapy Techniques (28 papers), Electrical and Bioimpedance Tomography (19 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). B. Rigaud collaborates with scholars based in France, United States and Sweden. B. Rigaud's co-authors include J.P. Morucci, Antoine Simon, J. Castelli, Pascal Haigron, C. Lafond, Nicolas Chauveau, Guillaume Cazoulat, R. de Crevoisier, Kristy K. Brock and R. de Crevoisier and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and Radiology.

In The Last Decade

B. Rigaud

57 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Rigaud France 17 456 451 305 274 194 61 961
Choonik Lee United States 21 1.2k 2.7× 1.1k 2.4× 440 1.4× 740 2.7× 44 0.2× 76 1.7k
Jun Zhou United States 22 933 2.0× 820 1.8× 463 1.5× 751 2.7× 79 0.4× 121 1.6k
Peter Kuess Austria 17 333 0.7× 568 1.3× 98 0.3× 588 2.1× 62 0.3× 57 844
Mohamed A. Naser United States 15 464 1.0× 134 0.3× 243 0.8× 86 0.3× 71 0.4× 61 828
C. Kappas Greece 20 748 1.6× 625 1.4× 223 0.7× 501 1.8× 34 0.2× 76 1.2k
M.G. Sabini Italy 19 354 0.8× 318 0.7× 100 0.3× 427 1.6× 93 0.5× 52 868
M. Carrara Italy 18 482 1.1× 642 1.4× 267 0.9× 448 1.6× 24 0.1× 110 1.2k
J Molloy United States 17 333 0.7× 430 1.0× 168 0.6× 336 1.2× 26 0.1× 50 758
X. George Xu United States 16 836 1.8× 758 1.7× 339 1.1× 633 2.3× 47 0.2× 59 1.3k
David Djajaputra United States 8 247 0.5× 353 0.8× 288 0.9× 269 1.0× 447 2.3× 18 892

Countries citing papers authored by B. Rigaud

Since Specialization
Citations

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

Fields of papers citing papers by B. Rigaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Rigaud

This figure shows the co-authorship network connecting the top 25 collaborators of B. Rigaud. A scholar is included among the top collaborators of B. Rigaud 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 B. Rigaud. B. Rigaud 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.
Rigaud, B., A. Barateau, Vincent Noblet, et al.. (2023). Contour‐guided deep learning based deformable image registration for dose monitoring during CBCT‐guided radiotherapy of prostate cancer. Journal of Applied Clinical Medical Physics. 24(8). e13991–e13991. 5 indexed citations
2.
Lin, Yuan‐Mao, Iwan Paolucci, Brian Anderson, et al.. (2023). Ablative Margins of Colorectal Liver Metastases Using Deformable CT Image Registration and Autosegmentation. Radiology. 307(2). e221373–e221373. 40 indexed citations
3.
4.
Zhang, Chen, C. Lafond, A. Barateau, et al.. (2022). Automatic segmentation for plan-of-the-day selection in CBCT-guided adaptive radiation therapy of cervical cancer. Physics in Medicine and Biology. 67(24). 245020–245020. 6 indexed citations
5.
Owens, Constance A., B. Rigaud, Ethan B. Ludmir, et al.. (2022). Development and validation of a population-based anatomical colorectal model for radiation dosimetry in late effects studies of survivors of childhood cancer. Radiotherapy and Oncology. 176. 118–126. 3 indexed citations
6.
Cazoulat, Guillaume, Stina Svensson, B. Rigaud, et al.. (2022). Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures. Frontiers in Oncology. 12. 1015608–1015608. 6 indexed citations
7.
Rigaud, B., Brian Anderson, Zhiqian Yu, et al.. (2020). Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 109(4). 1096–1110. 72 indexed citations
8.
Anderson, Brian, Guillaume Cazoulat, Christine B. Peterson, et al.. (2019). Biomechanical modeling of neck flexion for deformable alignment of the salivary glands in head and neck cancer images. Physics in Medicine and Biology. 64(17). 175018–175018. 1 indexed citations
9.
Rigaud, B., Ann H. Klopp, Sastry Vedam, et al.. (2019). Deformable image registration for dose mapping between external beam radiotherapy and brachytherapy images of cervical cancer. Physics in Medicine and Biology. 64(11). 115023–115023. 18 indexed citations
10.
Rigaud, B., Antoine Simon, Julie Leseur, et al.. (2018). Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy. IEEE Transactions on Medical Imaging. 38(2). 406–416. 34 indexed citations
11.
Simon, Antoine, et al.. (2015). Bénéfice de la radiothérapie adaptative par bibliothèque de plans de traitement pour les cancers du col utérin ?. Cancer/Radiothérapie. 19(6-7). 471–478. 8 indexed citations
12.
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
13.
Chauveau, Nicolas, et al.. (1999). Ex Vivo Discrimination between Normal and Pathological Tissues in Human Breast Surgical Biopsies Using Bioimpedance Spectroscopy. Annals of the New York Academy of Sciences. 873(1). 42–50. 42 indexed citations
14.
Chauveau, Nicolas, et al.. (1996). A multifrequency serial EIT system. Physiological Measurement. 17(4A). A7–A13. 4 indexed citations
15.
Brown, Brian, et al.. (1996). Parametric modelling for electrical impedance spectroscopy system. Medical & Biological Engineering & Computing. 34(2). 122–126. 27 indexed citations
16.
Rigaud, B., et al.. (1995). In vitro tissue characterization and modelling using electrical impedance measurements in the 100 Hz-10 MHz frequency range. Physiological Measurement. 16(3A). A15–A28. 73 indexed citations
17.
Rigaud, B., et al.. (1994). Tissue characterization by impedance: a multifrequency approach. Physiological Measurement. 15(2A). A13–A20. 39 indexed citations
18.
Record, Paul, et al.. (1994). Bio-impedance active electrode forin vivo measurement. Medical & Biological Engineering & Computing. 32(6). 683–685. 5 indexed citations
19.
Rigaud, B., Yanyan Shi, Nicolas Chauveau, & J.P. Morucci. (1993). Experimental acquisition system for impedance tomography with active electrode approach. Medical & Biological Engineering & Computing. 31(6). 593–599. 13 indexed citations
20.
Kozłowska, Justyna, et al.. (1992). Technical and experimental problems encountered in impedance spectroscopy in the α and β dispersion regions. Clinical Physics and Physiological Measurement. 13(A). 57–59. 2 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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