Pauline Roca

1.4k total citations
39 papers, 853 citations indexed

About

Pauline Roca is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Pauline Roca has authored 39 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Neurology and 13 papers in Cognitive Neuroscience. Recurrent topics in Pauline Roca's work include Advanced Neuroimaging Techniques and Applications (14 papers), Functional Brain Connectivity Studies (11 papers) and Cerebrovascular and Carotid Artery Diseases (9 papers). Pauline Roca is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (14 papers), Functional Brain Connectivity Studies (11 papers) and Cerebrovascular and Carotid Artery Diseases (9 papers). Pauline Roca collaborates with scholars based in France, United States and Sweden. Pauline Roca's co-authors include Catherine Oppenheim, Olivier Naggara, Jean-François Méder, Myriam Edjlali, Jean‐Claude Baron, Charles Mellerio, Jean‐Louis Mas, Guillaume Turc, Jean‐François Mangin and Bertrand Devaux and has published in prestigious journals such as PLoS ONE, NeuroImage and Neurology.

In The Last Decade

Pauline Roca

38 papers receiving 840 citations

Peers

Pauline Roca
Till‐Karsten Hauser Germany
Grégory Kuchcinski France
Yukihiko Fujii Japan
Stéphanie Lion France
A. Pierallini Italy
Hendrik Juenger Germany
Osamu Kizu Japan
Emanuele Pravatà Switzerland
Erik P. Sganzerla Italy
Geert‐Jan Rutten Netherlands
Till‐Karsten Hauser Germany
Pauline Roca
Citations per year, relative to Pauline Roca Pauline Roca (= 1×) peers Till‐Karsten Hauser

Countries citing papers authored by Pauline Roca

Since Specialization
Citations

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

Fields of papers citing papers by Pauline Roca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauline Roca

This figure shows the co-authorship network connecting the top 25 collaborators of Pauline Roca. A scholar is included among the top collaborators of Pauline Roca 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 Pauline Roca. Pauline Roca 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.
Chavas, Joël, A. Bénézit, Marie‐Laure Moutard, et al.. (2024). Identification of rare cortical folding patterns using unsupervised deep learning. Imaging Neuroscience. 2. 3 indexed citations
2.
Roca, Pauline, Alan Tucholka, Florence Forbes, et al.. (2022). Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images. Frontiers in Neurology. 12. 740603–740603.
3.
Rivière, Denis, Arnaud Cachia, Pauline Roca, et al.. (2021). Automatic recognition of specific local cortical folding patterns. NeuroImage. 238. 118208–118208. 6 indexed citations
4.
Roca, Pauline, Jean‐Claude Baron, Evaldas Laurenčikas, et al.. (2019). Quantitative Assessment of Hand Spasticity After Stroke: Imaging Correlates and Impact on Motor Recovery. Frontiers in Neurology. 10. 836–836. 40 indexed citations
5.
Benzakoun, Joseph, Pauline Roca, David Calvet, et al.. (2019). Optimal 4DFlow MR sequence parameters for the assessment of internal carotid artery stenosis: a simulation study. Neuroradiology. 61(10). 1137–1144. 1 indexed citations
6.
Térémetz, Maxime, Pauline Roca, Catherine Lamy, et al.. (2018). The role of corticospinal excitability and corticospinal lesion load in recovery of manual dexterity after stroke: A longitudinal pilot study. Annals of Physical and Rehabilitation Medicine. 61. e423–e424. 2 indexed citations
7.
Térémetz, Maxime, Pauline Roca, Jean‐Charles Lamy, et al.. (2018). Individual recovery profiles of manual dexterity, and relation to corticospinal lesion load and excitability after stroke –a longitudinal pilot study. Neurophysiologie Clinique. 49(2). 149–164. 39 indexed citations
8.
Lefranc, Sandrine, Pauline Roca, Matthieu Perrot, et al.. (2016). Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction. Medical Image Analysis. 30. 11–29. 25 indexed citations
9.
Dautry, Raphaël, Myriam Edjlali, Pauline Roca, et al.. (2015). Interest of HYPR flow dynamic MRA for characterization of cerebral arteriovenous malformations: comparison with TRICKS MRA and catheter DSA. European Radiology. 25(11). 3230–3237. 11 indexed citations
10.
Chang, Warren, Yijing Wu, Kevin M. Johnson, et al.. (2015). Fast Contrast-Enhanced 4D MRA and 4D Flow MRI Using Constrained Reconstruction (HYPRFlow): Potential Applications for Brain Arteriovenous Malformations. American Journal of Neuroradiology. 36(6). 1049–1055. 27 indexed citations
11.
Roca, Pauline, Charles Mellerio, Francine Chassoux, et al.. (2015). Sulcus-Based MR Analysis of Focal Cortical Dysplasia Located in the Central Region. PLoS ONE. 10(3). e0122252–e0122252. 9 indexed citations
12.
Debarnot, Ursula, Benoît Crépon, Éric Orriols, et al.. (2015). Intermittent theta burst stimulation over left BA10 enhances virtual reality-based prospective memory in healthy aged subjects. Neurobiology of Aging. 36(8). 2360–2369. 36 indexed citations
13.
Mellerio, Charles, Pauline Roca, Francine Chassoux, et al.. (2014). The Power Button Sign: A Newly Described Central Sulcal Pattern on Surface Rendering MR Images of Type 2 Focal Cortical Dysplasia. Radiology. 274(2). 500–507. 24 indexed citations
14.
15.
Naggara, Olivier, Marie Tisserand, Emmanuel Touzé, et al.. (2013). Total mismatch in anterior circulation stroke patients before thrombolysis. Journal of Neuroradiology. 40(3). 158–163. 13 indexed citations
16.
Edjlali, Myriam, Pauline Roca, David Calvet, et al.. (2012). Serial brain MRI in TIA patients. Journal of Neuroradiology. 39(3). 137–141. 13 indexed citations
17.
Edjlali, Myriam, et al.. (2012). 3D Fast Spin-Echo T1 Black-Blood Imaging for the Diagnosis of Cervical Artery Dissection. American Journal of Neuroradiology. 34(9). E103–E106. 59 indexed citations
18.
Marrakchi‐Kacem, Linda, Christine Delmaire, Alan Tucholka, et al.. (2010). Analysis of the Striato-Thalamo-Cortical Connectivity on the Cortical Surface to Infer Biomarkers of Huntington’s Disease. Lecture notes in computer science. 13(Pt 2). 217–224. 7 indexed citations
19.
Roca, Pauline, Denis Rivière, Pamela Guevara, Cyril Poupon, & Jean‐François Mangin. (2009). Tractography-Based Parcellation of the Cortex Using a Spatially-Informed Dimension Reduction of the Connectivity Matrix. Lecture notes in computer science. 12(Pt 1). 935–942. 25 indexed citations
20.
Roca, Pauline, et al.. (2005). Estudio del tiempo de demora asistencial en urgencias hospitalarias. Estudio multicéntrico en los servicios de urgencias hospitalarias de la Comunidad Valenciana. Emergencias: Revista de la Sociedad Española de Medicina de Urgencias y Emergencias. 17(5). 209–214. 4 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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