Julien Lefèvre

2.1k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Julien Lefèvre is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Julien Lefèvre has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Julien Lefèvre's work include Advanced Neuroimaging Techniques and Applications (17 papers), Functional Brain Connectivity Studies (16 papers) and Neonatal and fetal brain pathology (11 papers). Julien Lefèvre is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (17 papers), Functional Brain Connectivity Studies (16 papers) and Neonatal and fetal brain pathology (11 papers). Julien Lefèvre collaborates with scholars based in France, United States and Switzerland. Julien Lefèvre's co-authors include François Rousseau, Nadine Girard, L. Mahadevan, Jun Young Chung, T. Tallinen, Jean‐François Mangin, Sylvain Baillet, David Germanaud, Pierre Drap and Jessica Dubois and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Julien Lefèvre

54 papers receiving 1.4k 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.

On the growth and form of cortical convolutions

2016 370 citations François Rousseau, Nadine Girard et al. profile →

Peers

Julien Lefèvre

RNMI

PPCH

Toshiyuki Kondo Japan

Lewis D. Griffin United Kingdom

John Bogovic United States

Tuo Zhang China

Mathilde Badoual France

Beng Ti Ang Singapore

Paulo Aguiar Portugal

Amy L. Shelton United States

Robert L. Schultz United States

Matthew McAuliffe United States

Toshiyuki Kondo Japan

Julien Lefèvre

392 ×0.9

80 ×0.3

RNMI

285 ×1.3

43 ×0.2

PPCH

364 ×1.7

Citations per year, relative to Julien Lefèvre Julien Lefèvre (= 1×) peers Toshiyuki Kondo

Countries citing papers authored by Julien Lefèvre

Since Specialization

Citations

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

Fields of papers citing papers by Julien Lefèvre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Lefèvre

This figure shows the co-authorship network connecting the top 25 collaborators of Julien Lefèvre. A scholar is included among the top collaborators of Julien Lefèvre 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 Julien Lefèvre. Julien Lefèvre 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

Lefèvre, Julien, Christine Deruelle, Béatrice Desnous, et al.. (2025). Burst of gyrification in the human brain after birth. Communications Biology. 8(1). 805–805.

Lefèvre, Julien, et al.. (2023). Introduire les enjeux environnementaux et sociétaux du numérique en L3 informatique. HAL AMU. 83–92. 1 indexed citations

Simeone, Pierre, Guillaume Auzias, Julien Lefèvre, et al.. (2022). Long-term follow-up of neurodegenerative phenomenon in severe traumatic brain injury using MRI. Annals of Physical and Rehabilitation Medicine. 65(6). 101599–101599. 7 indexed citations

Ligozat, Anne‐Laure, Julien Lefèvre, Aurélie Bugeau, & Jacques Combaz. (2022). Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions. Sustainability. 14(9). 5172–5172. 76 indexed citations

Nguyen, Thi Ngoc Phuong, Julien Lefèvre, Lukshe Kanagaratnam, et al.. (2022). ADC measurement relevance to predict hemorrhage transformation after mechanical thrombectomy. Journal of the Neurological Sciences. 441. 120370–120370. 1 indexed citations

Deruelle, Christine, et al.. (2020). Group-level cortical surface parcellation with sulcal pits labeling. Medical Image Analysis. 66. 101749–101749. 5 indexed citations

Dubois, Jessica, Julien Lefèvre, Hugo Angleys, et al.. (2018). The dynamics of cortical folding waves and prematurity-related deviations revealed by spatial and spectral analysis of gyrification. NeuroImage. 185. 934–946. 36 indexed citations

Germanaud, David, Julien Lefèvre, Jean‐François Mangin, et al.. (2018). Three-Dimensional Probabilistic Maps of Mesial Temporal Lobe Structures in Children and Adolescents’ Brains. Frontiers in Neuroanatomy. 12. 98–98. 8 indexed citations

Lefèvre, Julien, Antonietta Pepe, François De Guio, et al.. (2018). SPANOL (SPectral ANalysis of Lobes): A Spectral Clustering Framework for Individual and Group Parcellation of Cortical Surfaces in Lobes. Frontiers in Neuroscience. 12. 354–354. 13 indexed citations

10.

Lefèvre, Julien, David Germanaud, Jessica Dubois, et al.. (2015). Are Developmental Trajectories of Cortical Folding Comparable Between Cross-sectional Datasets of Fetuses and Preterm Newborns?. Cerebral Cortex. 26(7). 3023–3035. 69 indexed citations

11.

Germanaud, David, Julien Lefèvre, Clara Fischer, et al.. (2014). Simplified gyral pattern in severe developmental microcephalies? New insights from allometric modeling for spatial and spectral analysis of gyrification. NeuroImage. 102. 317–331. 24 indexed citations

12.

Auzias, Guillaume, Julien Lefèvre, Arnaud Le Troter, et al.. (2013). Model-Driven Harmonic Parameterization of the Cortical Surface: HIP-HOP. IEEE Transactions on Medical Imaging. 32(5). 873–887. 49 indexed citations

13.

Amorim, Gisele Cardoso de, Ada Prochnicka‐Chalufour, Philippe Delepelaire, et al.. (2013). The Structure of HasB Reveals a New Class of TonB Protein Fold. PLoS ONE. 8(3). e58964–e58964. 20 indexed citations

14.

Germanaud, David, Julien Lefèvre, Roberto Toro, et al.. (2012). Larger is twistier: Spectral analysis of gyrification (SPANGY) applied to adult brain size polymorphism. NeuroImage. 63(3). 1257–1272. 47 indexed citations

15.

Auzias, Guillaume, Julien Lefèvre, Arnaud Le Troter, et al.. (2011). Model-Driven Harmonic Parameterization of the Cortical Surface. Lecture notes in computer science. 14(Pt 2). 310–317. 6 indexed citations

16.

Lefèvre, Julien & Sylvain Baillet. (2009). Optical flow approaches to the identification of brain dynamics. Human Brain Mapping. 30(6). 1887–1897. 12 indexed citations

17.

Dellacherie, Delphine, Micha Pfeuty, Dominique Hasboun, et al.. (2009). The Birth of Musical Emotion. Annals of the New York Academy of Sciences. 1169(1). 336–341. 18 indexed citations

18.

Lefèvre, Julien, F. Leroy, Sheraz Khan, et al.. (2009). Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition. Lecture notes in computer science. 21. 252–263. 21 indexed citations

19.

Attal, Yohan, Manik Bhattacharjee, Jérôme Yelnik, et al.. (2007). Modeling and Detecting Deep Brain Activity with MEG & EEG. Conference proceedings. 34. 4937–4940. 85 indexed citations

20.

Sébag, Michèle, et al.. (2005). A multi-objective multi-modal optimization approach for mining stable spatio-temporal patterns. International Joint Conference on Artificial Intelligence. 859–864. 18 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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