Maxime Guye

11.8k total citations · 2 hit papers
212 papers, 8.2k citations indexed

About

Maxime Guye is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Maxime Guye has authored 212 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Radiology, Nuclear Medicine and Imaging, 89 papers in Cognitive Neuroscience and 50 papers in Psychiatry and Mental health. Recurrent topics in Maxime Guye's work include Advanced MRI Techniques and Applications (72 papers), Functional Brain Connectivity Studies (71 papers) and Advanced Neuroimaging Techniques and Applications (62 papers). Maxime Guye is often cited by papers focused on Advanced MRI Techniques and Applications (72 papers), Functional Brain Connectivity Studies (71 papers) and Advanced Neuroimaging Techniques and Applications (62 papers). Maxime Guye collaborates with scholars based in France, United States and Germany. Maxime Guye's co-authors include Fabrice Bartoloméi, Jean‐Philippe Ranjeva, Patrick Chauvel, Viktor Jirsa, Fabrice Wendling, Gaëlle Bettus, Patrick J. Cozzone, Sylviane Confort‐Gouny, Jean Régis and Aileen McGonigal and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Maxime Guye

203 papers receiving 8.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Defining epileptogenic networks: Contribution of SEEG and signal analysis

2017 405 citations Fabrice Bartoloméi, Fabrice Wendling et al. Epilepsia profile →
Personalised virtual brain models in epilepsy

2023 76 citations Viktor Jirsa, Maxime Guye et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maxime Guye France	48	5.0k	2.8k	2.6k	1.8k	797	212	8.2k
Gerard R. Ridgway United Kingdom	44	4.2k 0.9×	2.4k 0.9×	4.0k 1.6×	741 0.4×	1.6k 2.0×	107	10.0k
Dimitri Papathanassiou France	15	9.8k 2.0×	2.4k 0.9×	3.9k 1.5×	899 0.5×	946 1.2×	48	14.0k
Christian Haselgrove United States	13	4.1k 0.8×	2.2k 0.8×	2.6k 1.0×	611 0.3×	680 0.9×	32	7.9k
Mark R. Symms United Kingdom	57	3.6k 0.7×	3.7k 1.3×	4.8k 1.9×	1.5k 0.8×	700 0.9×	137	8.6k
Marwan N. Baliki United States	31	4.5k 0.9×	1.6k 0.6×	848 0.3×	1.1k 0.6×	461 0.6×	52	9.4k
Gwenaëlle Douaud United Kingdom	45	5.3k 1.1×	1.5k 0.5×	4.1k 1.6×	1.0k 0.6×	2.2k 2.8×	66	10.8k
James Saunders United States	11	5.7k 1.1×	1.5k 0.5×	5.7k 2.2×	722 0.4×	1.2k 1.5×	26	11.2k
Rami K. Niazy United Kingdom	8	6.5k 1.3×	1.5k 0.6×	6.0k 2.3×	757 0.4×	1.2k 1.5×	10	11.7k
Arthur W. Toga United States	43	4.1k 0.8×	1.4k 0.5×	4.9k 1.9×	650 0.4×	860 1.1×	144	9.5k
Hae‐Jeong Park South Korea	45	4.8k 1.0×	1.4k 0.5×	3.3k 1.3×	754 0.4×	808 1.0×	193	8.7k

Countries citing papers authored by Maxime Guye

Since Specialization

Citations

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

Fields of papers citing papers by Maxime Guye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Guye

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

All Works

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20 of 20 papers shown

Lasbleiz, Adèle, Patricia Ancel, Patrice Darmon, et al.. (2025). Structural alterations of individual hypothalamic nuclei in young females with obesity and anorexia nervosa: an in vivo 7-T MRI study. American Journal of Clinical Nutrition. 121(5). 1186–1198.

Attarian, Shahram, et al.. (2025). Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases. Magnetic Resonance Materials in Physics Biology and Medicine. 38(2). 175–189.

Licht, Christian, Mark Bydder, Jascha Zapp, et al.. (2024). Low‐rank reconstruction for simultaneous double half‐echo ²³Na and undersampled ²³Na multi‐quantum coherences MRI. Magnetic Resonance in Medicine. 92(4). 1440–1455.

Ogier, Augustin C., et al.. (2023). The Impact of Fatty Infiltration on MRI Segmentation of Lower Limb Muscles in Neuromuscular Diseases: A Comparative Study of Deep Learning Approaches. Journal of Magnetic Resonance Imaging. 58(6).

Licht, Christian, et al.. (2023). Multidimensional compressed sensing to advance ²³Na multi‐quantum coherences MRI. Magnetic Resonance in Medicine. 91(3). 926–941. 3 indexed citations

Mauconduit, Franck, Aurélien Massire, Redha Abdeddaïm, et al.. (2023). Optimized interferometric encoding of presaturated TurboFLASH B₁ mapping for parallel transmission MRI at 7 T: Preliminary application for quantitative T₁ mapping in the spinal cord. Magnetic Resonance in Medicine. 90(4). 1328–1344. 2 indexed citations

Mendili, Mohamed Mounir El, Aude‐Marie Grapperon, Jan‐Patrick Stellmann, et al.. (2022). Alterations of Microstructure and Sodium Homeostasis in Fast Amyotrophic Lateral Sclerosis Progressors: A Brain DTI and Sodium MRI Study. American Journal of Neuroradiology. 43(7). 984–990. 10 indexed citations

Makhalova, Julia, Wafaa Zaaraoui, Samuel Médina Villalon, et al.. (2022). Combining sodium MRI , proton MR spectroscopic imaging, and intracerebral EEG in epilepsy. Human Brain Mapping. 44(2). 825–840. 5 indexed citations

Brun, Gilles, Benoît Testud, Olivier M. Girard, et al.. (2021). Automatic segmentation of deep grey nuclei using a high‐resolution 7T magnetic resonance imaging atlas—Quantification of T1 values in healthy volunteers. European Journal of Neuroscience. 55(2). 438–460. 12 indexed citations

10.

Troalen, Thomas, Jean‐Philippe Ranjeva, Maxime Guye, et al.. (2021). A strategy to reduce the sensitivity of inhomogeneous magnetization transfer (ihMT) imaging to radiofrequency transmit field variations at 3 T. Magnetic Resonance in Medicine. 87(3). 1346–1359. 8 indexed citations

11.

Ranjeva, Jean‐Philippe, Olivier M. Girard, Guillaume Duhamel, et al.. (2020). Sensitivity of the Inhomogeneous Magnetization Transfer Imaging Technique to Spinal Cord Damage in Multiple Sclerosis. American Journal of Neuroradiology. 41(5). 929–937. 18 indexed citations

12.

Dębski, Konrad J., Nicholas Ceglia, Antoine Ghestem, et al.. (2020). The circadian dynamics of the hippocampal transcriptome and proteome is altered in experimental temporal lobe epilepsy. Science Advances. 6(41). 52 indexed citations

13.

Habert, Paul, Philippe Aldebert, Axel Bartoli, et al.. (2018). Exercise stress CMR reveals reduced aortic distensibility and impaired right-ventricular adaptation to exercise in patients with repaired tetralogy of Fallot. PLoS ONE. 13(12). e0208749–e0208749. 10 indexed citations

14.

Troter, Arnaud Le, Valentin Prévost, Patrick Viout, et al.. (2018). Evaluation of the Sensitivity of Inhomogeneous Magnetization Transfer (ihMT) MRI for Multiple Sclerosis. American Journal of Neuroradiology. 39(4). 634–641. 46 indexed citations

15.

Grapperon, Aude‐Marie, Manuel Taso, Olivier M. Girard, et al.. (2017). Region‐specific impairment of the cervical spinal cord (SC) in amyotrophic lateral sclerosis: A preliminary study using SC templates and quantitative MRI (diffusion tensor imaging/inhomogeneous magnetization transfer). NMR in Biomedicine. 30(12). 45 indexed citations

16.

Faivre, Anthony, Audrey Rico, Françoise Reuter, et al.. (2015). Brain functional plasticity at rest and during action in multiple sclerosis patients. Journal of Clinical Neuroscience. 22(9). 1438–1443. 9 indexed citations

17.

Bricq, Stéphanie, Julien Frandon, Monique Bernard, et al.. (2015). Semiautomatic detection of myocardial contours in order to investigate normal values of the left ventricular trabeculated mass using MRI. Journal of Magnetic Resonance Imaging. 43(6). 1398–1406. 18 indexed citations

18.

Bartoloméi, Fabrice, Fabrice Wendling, Anna Sontheimer, et al.. (2005). Entorhinal Cortex Involvement in Human Mesial Temporal Lobe Epilepsy: An Electrophysiologic and Volumetric Study. Epilepsia. 46(5). 677–687. 169 indexed citations

19.

Guye, Maxime, et al.. (2002). Fear, anger and compulsive behavior during seizure: involvement of large scale fronto‐temporal neural networks. Epileptic Disorders. 4(4). 235–241. 39 indexed citations

20.

Bartoloméi, Fabrice, Maxime Guye, Martine Gavaret, et al.. (2002). Les investigations préchirurgicales des épilepsies. Revue Neurologique. 158(5). 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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