Éric Van Reeth

463 total citations
18 papers, 312 citations indexed

About

Éric Van Reeth is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Éric Van Reeth has authored 18 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Materials Chemistry. Recurrent topics in Éric Van Reeth's work include Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (7 papers) and Lanthanide and Transition Metal Complexes (3 papers). Éric Van Reeth is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (7 papers) and Lanthanide and Transition Metal Complexes (3 papers). Éric Van Reeth collaborates with scholars based in France, Singapore and Germany. Éric Van Reeth's co-authors include Chueh Loo Poh, Ivan Weng Keong Tham, Cher Heng Tan, Steffen J. Glaser, D. Sugny, H. Ratiney, Yuxin Yang, R.I. Kitney, Olivier Beuf and Kenneth Sheah and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.

In The Last Decade

Éric Van Reeth

18 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Van Reeth France 8 184 90 47 36 22 18 312
James Rioux Canada 9 273 1.5× 53 0.6× 74 1.6× 27 0.8× 46 2.1× 28 424
Shanglian Bao China 11 263 1.4× 55 0.6× 91 1.9× 105 2.9× 23 1.0× 56 377
Eunju Cha South Korea 7 147 0.8× 104 1.2× 104 2.2× 18 0.5× 21 1.0× 10 306
Sen Jia China 12 330 1.8× 87 1.0× 86 1.8× 17 0.5× 55 2.5× 39 470
Fukai Toyofuku Japan 10 148 0.8× 79 0.9× 66 1.4× 39 1.1× 22 1.0× 53 310
Taohui Xiao China 7 321 1.7× 76 0.8× 94 2.0× 27 0.8× 35 1.6× 15 383
Lucio Azzari Finland 10 68 0.4× 184 2.0× 78 1.7× 22 0.6× 22 1.0× 13 328
Eric K. Gibbons United States 5 281 1.5× 104 1.2× 90 1.9× 11 0.3× 11 0.5× 7 393
C.-T. Chen United States 10 139 0.8× 118 1.3× 54 1.1× 106 2.9× 63 2.9× 18 353
Emanuel Levitan Israel 4 273 1.5× 69 0.8× 136 2.9× 70 1.9× 12 0.5× 5 346

Countries citing papers authored by Éric Van Reeth

Since Specialization
Citations

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

Fields of papers citing papers by Éric Van Reeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Van Reeth. 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 Éric Van Reeth. The network helps show where Éric Van Reeth may publish in the future.

Co-authorship network of co-authors of Éric Van Reeth

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Van Reeth. A scholar is included among the top collaborators of Éric Van Reeth 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 Éric Van Reeth. Éric Van Reeth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Reeth, Éric Van, Michaël Sdika, F. Schneider, et al.. (2023). Intraoperative identification of functional brain areas with RGB imaging using statistical parametric mapping: Simulation and clinical studies. NeuroImage. 278. 120286–120286. 3 indexed citations
2.
Reeth, Éric Van, et al.. (2022). Short echo time dual-frequency MR Elastography with Optimal Control RF pulses. Scientific Reports. 12(1). 1406–1406. 3 indexed citations
3.
Reeth, Éric Van, H. Ratiney, Simon A. Lambert, et al.. (2018). Constant gradient elastography with optimal control RF pulses. Journal of Magnetic Resonance. 294. 153–161. 3 indexed citations
4.
Reeth, Éric Van, et al.. (2018). A simplified framework to optimize MRI contrast preparation. Magnetic Resonance in Medicine. 81(1). 424–438. 5 indexed citations
5.
Reeth, Éric Van, H. Ratiney, M. Lapert, Steffen J. Glaser, & D. Sugny. (2017). Optimal control theory for applications in Magnetic Resonance Imaging. SHILAP Revista de lepidopterología. 9(1). 6 indexed citations
6.
Reeth, Éric Van, et al.. (2017). Optimal control design of preparation pulses for contrast optimization in MRI. Journal of Magnetic Resonance. 279. 39–50. 14 indexed citations
7.
Reeth, Éric Van, H. Ratiney, Olivier Beuf, et al.. (2017). Active control of the spatial MRI phase distribution with optimal control theory. Journal of Magnetic Resonance. 281. 82–93. 7 indexed citations
8.
Reeth, Éric Van, et al.. (2016). Optimizing MRI contrast with B1 pulses using optimal control theory. HAL (Le Centre pour la Communication Scientifique Directe). 310–313. 3 indexed citations
9.
Reeth, Éric Van, et al.. (2016). ESMRMB 2016, 33rd Annual Scientific Meeting, Vienna, AT, September 29–October 1: Abstracts, Thursday. Magnetic Resonance Materials in Physics Biology and Medicine. 29(S1). 1–121. 4 indexed citations
10.
Yang, Yuxin, et al.. (2015). A hybrid approach for fusing 4D‐MRI temporal information with 3D‐CT for the study of lung and lung tumor motion. Medical Physics. 42(8). 4484–4496. 23 indexed citations
11.
Reeth, Éric Van, Cher Heng Tan, Ivan Weng Keong Tham, & Chueh Loo Poh. (2014). Isotropic reconstruction of a 4‐D MRI thoracic sequence using super‐resolution. Magnetic Resonance in Medicine. 73(2). 784–793. 19 indexed citations
12.
Poh, Chueh Loo, et al.. (2014). The Effect of Sample Age and Prediction Resolution on Myocardial Infarction Risk Prediction. IEEE Journal of Biomedical and Health Informatics. 19(3). 1178–1185. 15 indexed citations
13.
Reeth, Éric Van, et al.. (2013). Texture analysis of bone marrow in knee MRI for classification of subjects with bone marrow lesion — Data from the Osteoarthritis Initiative. Magnetic Resonance Imaging. 31(6). 930–938. 12 indexed citations
14.
Reeth, Éric Van, et al.. (2013). A Spatiotemporal-Based Scheme for Efficient Registration-Based Segmentation of Thoracic 4-D MRI. IEEE Journal of Biomedical and Health Informatics. 18(3). 969–977. 14 indexed citations
15.
Yang, Yuxin, Éric Van Reeth, & Chueh Loo Poh. (2013). Adapting registration-based-segmentation for efficient segmentation of thoracic 4D MRI. DR-NTU (Nanyang Technological University). 108. 42–45. 1 indexed citations
16.
Reeth, Éric Van, Ivan Weng Keong Tham, Cher Heng Tan, & Chueh Loo Poh. (2013). Phantom-based evaluation of isotropic reconstruction of 4-D MRI volumes using super-resolution. 48. 6–13. 1 indexed citations
17.
Reeth, Éric Van, Ivan Weng Keong Tham, Cher Heng Tan, & Chueh Loo Poh. (2012). Super‐resolution in magnetic resonance imaging: A review. Concepts in Magnetic Resonance Part A. 40A(6). 306–325. 178 indexed citations
18.
Reeth, Éric Van, et al.. (2009). Adaptive edge orientation analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7535. 753505–753505. 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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