Arnaud Attyé

2.7k total citations
82 papers, 1.5k citations indexed

About

Arnaud Attyé is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Arnaud Attyé has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Neurology, 27 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Neurology. Recurrent topics in Arnaud Attyé's work include Vestibular and auditory disorders (32 papers), Hearing, Cochlea, Tinnitus, Genetics (23 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Arnaud Attyé is often cited by papers focused on Vestibular and auditory disorders (32 papers), Hearing, Cochlea, Tinnitus, Genetics (23 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Arnaud Attyé collaborates with scholars based in France, Australia and United States. Arnaud Attyé's co-authors include Alexandre Krainik, Michaël Eliezer, S. Schmerber, Irène Troprés, Adrian Kastler, Georges Dumas, Sylvie Grand, Laurent Lamalle, Charlotte Hautefort and Olivier Heck and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Arnaud Attyé

75 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnaud Attyé France 23 624 497 445 358 247 82 1.5k
Jeong‐Yoon Choi South Korea 21 776 1.2× 315 0.6× 498 1.1× 376 1.1× 67 0.3× 111 1.4k
Peter Paul G. van Benthem Netherlands 23 588 0.9× 452 0.9× 226 0.5× 269 0.8× 38 0.2× 110 1.5k
Izumi Koizuka Japan 18 602 1.0× 346 0.7× 405 0.9× 113 0.3× 169 0.7× 170 1.3k
Stefan Hegemann Switzerland 21 899 1.4× 449 0.9× 341 0.8× 245 0.7× 42 0.2× 68 1.4k
Chang‐Hee Kim South Korea 20 893 1.4× 455 0.9× 433 1.0× 207 0.6× 60 0.2× 110 1.2k
Seiichi Nakata Japan 26 1.6k 2.5× 1.2k 2.3× 641 1.4× 795 2.2× 64 0.3× 78 2.8k
Wilhelm Flatz Germany 14 339 0.5× 218 0.4× 154 0.3× 128 0.4× 81 0.3× 34 832
Habib G. Rizk United States 20 537 0.9× 266 0.5× 161 0.4× 180 0.5× 33 0.1× 74 1.1k
Alfonso Scarpa Italy 20 546 0.9× 376 0.8× 129 0.3× 251 0.7× 35 0.1× 115 1.2k
Robert L. Tomsak United States 25 490 0.8× 110 0.2× 480 1.1× 566 1.6× 142 0.6× 83 1.7k

Countries citing papers authored by Arnaud Attyé

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Attyé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Attyé

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Attyé. A scholar is included among the top collaborators of Arnaud Attyé 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 Arnaud Attyé. Arnaud Attyé 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
2.
Attyé, Arnaud, Félix Renard, Alexandre Krainik, et al.. (2024). Data-driven normative values based on generative manifold learning for quantitative MRI. Scientific Reports. 14(1). 4 indexed citations
3.
Salem, D. Ben, et al.. (2024). Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT. European Radiology Experimental. 8(1). 104–104. 3 indexed citations
4.
Attyé, Arnaud, et al.. (2023). Tumor or not a tumor: Pitfalls and differential diagnosis in neuro-oncology. Revue Neurologique. 179(5). 378–393.
5.
Attyé, Arnaud, et al.. (2023). Improving rehabilitation of deaf patients by advanced imaging before cochlear implantation. Journal of Neuroradiology. 51(2). 145–154. 2 indexed citations
6.
Osman, Samir M., et al.. (2021). Increased signal intensity with delayed post contrast 3D-FLAIR MRI sequence using constant flip angle and long repetition time for inner ear evaluation. Diagnostic and Interventional Imaging. 103(4). 225–229. 7 indexed citations
7.
Bouccara, D., Charlotte Hautefort, Yvonne Purcell, et al.. (2021). MRI characteristics of intralabyrinthine schwannoma on post-contrast 4 h-delayed 3D-FLAIR imaging. Diagnostic and Interventional Imaging. 103(3). 171–176. 4 indexed citations
8.
Eliezer, Michaël, Arnaud Attyé, Michel Toupet, & Charlotte Hautefort. (2021). Imaging of endolymphatic hydrops: A comprehensive update in primary and secondary hydropic ear disease. Journal of Vestibular Research. 31(4). 261–268. 8 indexed citations
9.
Pichat, Cédric, Laurent Torlay, Olivier David, et al.. (2019). Hubs disruption in mesial temporal lobe epilepsy. A resting‐state fMRI study on a language‐and‐memory network. Human Brain Mapping. 41(3). 779–796. 44 indexed citations
10.
Attyé, Arnaud & Michaël Eliezer. (2019). Endolymph magnetic resonance imaging: Contribution of saccule and utricle analysis in the management of patients with sensorineural ear disorders. European Annals of Otorhinolaryngology Head and Neck Diseases. 137(1). 47–51. 5 indexed citations
11.
Eliezer, Michaël, André Gillibert, Jean‐Paul Marie, et al.. (2019). Sensorineural hearing loss in patients with vestibular schwannoma correlates with the presence of utricular hydrops as diagnosed on heavily T2-weighted MRI. Diagnostic and Interventional Imaging. 100(5). 259–268. 22 indexed citations
12.
Frindel, Carole, et al.. (2018). Overcoming Challenges of Cranial Nerve Tractography: A Targeted Review. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
13.
Aptel, Florent, Arnaud Attyé, Nathalie Guyader, et al.. (2018). Scene and human face recognition in the central vision of patients with glaucoma. PLoS ONE. 13(2). e0193465–e0193465. 21 indexed citations
14.
Hautefort, Charlotte, André Gillibert, R. Kania, et al.. (2018). Postoperative MR imaging features after superior semicircular canal plugging in Minor syndrome. Diagnostic and Interventional Imaging. 99(11). 679–687. 8 indexed citations
15.
Attyé, Arnaud, Michaël Eliezer, Irène Troprés, et al.. (2017). Endolymphatic hydrops imaging: Differential diagnosis in patients with Meniere disease symptoms. Diagnostic and Interventional Imaging. 98(10). 699–706. 31 indexed citations
16.
Eliezer, Michaël, André Gillibert, Irène Troprés, Alexandre Krainik, & Arnaud Attyé. (2017). Influence of inversion time on endolymphatic hydrops evaluation in 3D-FLAIR imaging. Journal of Neuroradiology. 44(5). 339–343. 29 indexed citations
17.
Boyer, Eric, et al.. (2015). Scalar Localization by Cone-Beam Computed Tomography of Cochlear Implant Carriers. Otology & Neurotology. 36(3). 422–429. 99 indexed citations
18.
Grand, Sylvie, et al.. (2014). The different faces of central nervous system metastases. Diagnostic and Interventional Imaging. 95(10). 917–931. 6 indexed citations
19.
Grand, Sylvie, F. Tahon, Arnaud Attyé, et al.. (2013). Perfusion imaging in brain disease. Diagnostic and Interventional Imaging. 94(12). 1241–1257. 13 indexed citations
20.
Krainik, Alexandre, Marjorie Villien, Irène Troprés, et al.. (2013). Functional imaging of cerebral perfusion. Diagnostic and Interventional Imaging. 94(12). 1259–1278. 20 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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