João Jorge

1.6k total citations
40 papers, 961 citations indexed

About

João Jorge is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, João Jorge has authored 40 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 23 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Surgery. Recurrent topics in João Jorge's work include Advanced MRI Techniques and Applications (21 papers), Functional Brain Connectivity Studies (21 papers) and EEG and Brain-Computer Interfaces (10 papers). João Jorge is often cited by papers focused on Advanced MRI Techniques and Applications (21 papers), Functional Brain Connectivity Studies (21 papers) and EEG and Brain-Computer Interfaces (10 papers). João Jorge collaborates with scholars based in Switzerland, Portugal and United Kingdom. João Jorge's co-authors include Patrícia Figueiredo, Wietske van der Zwaag, Rolf Gruetter, Christoph M. Michel, Lucie Bréchet, Gwénaël Birot, Denis Brunet, Frédéric Grouiller, José P. Marques and Karen J. Mullinger and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

João Jorge

34 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
João Jorge Switzerland 17 712 325 69 64 53 40 961
Keith Jamison United States 18 913 1.3× 385 1.2× 51 0.7× 39 0.6× 17 0.3× 44 1.1k
S.I. Gonçalves Netherlands 13 801 1.1× 297 0.9× 55 0.8× 75 1.2× 64 1.2× 31 1.1k
Jukka Jauhiainen Finland 10 589 0.8× 345 1.1× 32 0.5× 39 0.6× 45 0.8× 14 775
David J. Hawellek Germany 8 986 1.4× 220 0.7× 45 0.7× 56 0.9× 26 0.5× 15 1.1k
Girolamo Garreffa Italy 17 505 0.7× 278 0.9× 47 0.7× 59 0.9× 57 1.1× 36 882
Jon Wieser United States 9 945 1.3× 186 0.6× 23 0.3× 56 0.9× 90 1.7× 12 1.1k
Rebecca Quest United Kingdom 15 239 0.3× 311 1.0× 45 0.7× 24 0.4× 67 1.3× 20 888
Erin L. Mazerolle Canada 21 754 1.1× 793 2.4× 123 1.8× 156 2.4× 31 0.6× 51 1.3k
Lara Schlaffke Germany 15 241 0.3× 255 0.8× 57 0.8× 88 1.4× 47 0.9× 53 717
Claire Stevenson United Kingdom 15 1.1k 1.6× 334 1.0× 26 0.4× 61 1.0× 31 0.6× 24 1.3k

Countries citing papers authored by João Jorge

Since Specialization
Citations

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

Fields of papers citing papers by João Jorge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Jorge

This figure shows the co-authorship network connecting the top 25 collaborators of João Jorge. A scholar is included among the top collaborators of João Jorge 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 João Jorge. João Jorge 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.
Jorge, João, Rodolfo Abreu, Anne‐Lise Giraud, et al.. (2025). Consistency of resting-state correlations between fMRI networks and EEG band power. Imaging Neuroscience. 3.
2.
Kebiri, Hamza, Farnaz Delavari, Dimitri Van De Ville, João Jorge, & Meritxell Bach Cuadra. (2025). Functional organization of the neonatal thalamus across development depicted by functional MRI. Imaging Neuroscience. 3.
3.
Radojewski, Piotr, et al.. (2025). Quantitative susceptibility mapping in the human brain at 7T with phase‐cycled balanced SSFP. Magnetic Resonance in Medicine. 94(4). 1469–1484.
4.
Pievani, Michela, Federica Ribaldi, João Jorge, et al.. (2024). Resting-state functional connectivity abnormalities in subjective cognitive decline: A 7T MRI study. Neurobiology of Aging. 144. 104–113. 1 indexed citations
5.
Jorge, João, et al.. (2023). Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning. PLoS ONE. 18(2). e0279419–e0279419. 7 indexed citations
6.
7.
Wirsich, Jonathan, João Jorge, Giannina Rita Iannotti, et al.. (2021). The relationship between EEG and fMRI connectomes is reproducible across simultaneous EEG-fMRI studies from 1.5T to 7T. NeuroImage. 231. 117864–117864. 31 indexed citations
8.
Marques, Nuno, et al.. (2021). Trapeziectomy with suture-button suspensionplasty versus ligament reconstruction and tendon interposition: a randomized controlled trial. Hand surgery & rehabilitation. 41(1). 59–64. 10 indexed citations
9.
Maggi, Pietro, Mário João Fartaria, João Jorge, et al.. (2020). CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis. NMR in Biomedicine. 33(5). e4283–e4283. 43 indexed citations
10.
Franceschiello, Benedetta, Lorenzo Di Sopra, Silvio Ionta, et al.. (2020). 3-Dimensional magnetic resonance imaging of the freely moving human eye. Progress in Neurobiology. 194. 101885–101885. 7 indexed citations
11.
12.
Jorge, João, et al.. (2019). Adjacent Bi-level bilateral pedicle stress fractures after instrumented posterolateral lumbar fusion—a case report and review of the literature. European Journal of Orthopaedic Surgery & Traumatology. 29(5). 1147–1151. 5 indexed citations
13.
Bréchet, Lucie, Denis Brunet, Gwénaël Birot, et al.. (2019). Capturing the spatiotemporal dynamics of self-generated, task-initiated thoughts with EEG and fMRI. NeuroImage. 194. 82–92. 218 indexed citations
14.
Richiardi, Jonas, Pietro Maggi, Mário João Fartaria, et al.. (2018). Differential diagnosis of multiple sclerosis with machine learning-based central vein sign recognition. Multiple Sclerosis Journal. 24. 530–531. 1 indexed citations
15.
Abreu, Rodolfo, Marco Leite, João Jorge, et al.. (2016). Ballistocardiogram artifact correction taking into account physiological signal preservation in simultaneous EEG-fMRI. NeuroImage. 135. 45–63. 30 indexed citations
16.
Grouiller, Frédéric, João Jorge, Francesca Pittau, et al.. (2016). Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results. Magnetic Resonance Materials in Physics Biology and Medicine. 29(3). 605–616. 16 indexed citations
17.
Jorge, João, Frédéric Grouiller, Rolf Gruetter, Wietske van der Zwaag, & Patrícia Figueiredo. (2015). Towards high-quality simultaneous EEG-fMRI at 7 T: Detection and reduction of EEG artifacts due to head motion. NeuroImage. 120. 143–153. 43 indexed citations
18.
Zwaag, Wietske van der, et al.. (2015). Physiological noise in human cerebellar fMRI. Magnetic Resonance Materials in Physics Biology and Medicine. 28(5). 485–492. 18 indexed citations
19.
Jorge, João, Frédéric Grouiller, Özlem İpek, et al.. (2014). Simultaneous EEG–fMRI at ultra-high field: Artifact prevention and safety assessment. NeuroImage. 105. 132–144. 49 indexed citations
20.
Jorge, João, et al.. (2012). Simulation of an Order Picking System in a Pharmaceutical Warehouse. 107–112. 2 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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