Alard Roebroeck

8.3k total citations · 2 hit papers
93 papers, 5.5k citations indexed

About

Alard Roebroeck is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Alard Roebroeck has authored 93 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Cognitive Neuroscience and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Alard Roebroeck's work include Advanced Neuroimaging Techniques and Applications (45 papers), Functional Brain Connectivity Studies (33 papers) and Advanced MRI Techniques and Applications (30 papers). Alard Roebroeck is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (45 papers), Functional Brain Connectivity Studies (33 papers) and Advanced MRI Techniques and Applications (30 papers). Alard Roebroeck collaborates with scholars based in Netherlands, Germany and United Kingdom. Alard Roebroeck's co-authors include Rainer Goebel, Elia Formisano, Dae‐Shik Kim, Kâmil Uludaǧ, Matteo Bastiani, Anne Roefs, Karl Friston, Anita Jansen, Remco C. Havermans and Nicolette Siep and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

Alard Roebroeck

91 papers receiving 5.4k citations

Hit Papers

Mapping directed influenc... 2003 2026 2010 2018 2005 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alard Roebroeck Netherlands 38 3.6k 2.1k 530 397 368 93 5.5k
Ziad S. Saad United States 36 5.0k 1.4× 2.2k 1.1× 838 1.6× 275 0.7× 537 1.5× 65 6.2k
Chloe Hutton United Kingdom 34 4.5k 1.3× 2.4k 1.2× 763 1.4× 376 0.9× 696 1.9× 68 6.8k
Lingzhong Fan China 27 3.4k 1.0× 1.6k 0.8× 710 1.3× 230 0.6× 668 1.8× 86 4.5k
Jorge Jovicich Italy 29 3.7k 1.0× 2.0k 0.9× 577 1.1× 321 0.8× 1.1k 2.9× 90 6.0k
Katie L. McMahon Australia 48 4.4k 1.3× 2.3k 1.1× 916 1.7× 565 1.4× 749 2.0× 285 7.2k
Roberto Toro France 31 5.7k 1.6× 2.1k 1.0× 807 1.5× 319 0.8× 878 2.4× 76 7.4k
Hang Joon Jo United States 27 3.0k 0.8× 1.3k 0.6× 607 1.1× 150 0.4× 522 1.4× 73 3.8k
Aaron Alexander‐Bloch United States 32 4.2k 1.2× 2.1k 1.0× 883 1.7× 168 0.4× 761 2.1× 83 5.8k
Marisa O. Hollinshead United States 8 5.7k 1.6× 2.1k 1.0× 1.2k 2.2× 264 0.7× 781 2.1× 10 6.6k
Alecia C. Vogel United States 15 5.0k 1.4× 1.6k 0.8× 1.1k 2.1× 208 0.5× 586 1.6× 31 5.7k

Countries citing papers authored by Alard Roebroeck

Since Specialization
Citations

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

Fields of papers citing papers by Alard Roebroeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alard Roebroeck

This figure shows the co-authorship network connecting the top 25 collaborators of Alard Roebroeck. A scholar is included among the top collaborators of Alard Roebroeck 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 Alard Roebroeck. Alard Roebroeck 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.
Rheault, François, Helen S. Mayberg, Michel Thiebaut de Schotten, Alard Roebroeck, & Stephanie J. Forkel. (2025). The scientific value of tractography: accuracy vs usefulness. Brain Structure and Function. 230(4). 59–59. 1 indexed citations
2.
Roebroeck, Alard, Suzanne N. Haber, Elena Borra, et al.. (2025). Animal models are useful in studying human neuroanatomy with tractography. Brain Structure and Function. 230(5). 79–79. 1 indexed citations
3.
Voigt, Fabian F., Thomas Naert, Sven Hildebrand, et al.. (2023). Reflective multi-immersion microscope objectives inspired by the Schmidt telescope. Nature Biotechnology. 42(1). 65–71. 10 indexed citations
4.
Schueth, Anna, Sven Hildebrand, Iryna Samarska, et al.. (2023). Efficient 3D light-sheet imaging of very large-scale optically cleared human brain and prostate tissue samples. Communications Biology. 6(1). 170–170. 12 indexed citations
5.
Harms, Robbert, et al.. (2023). Fast and robust quantification of uncertainty in non-linear diffusion MRI models. NeuroImage. 285. 120496–120496. 3 indexed citations
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7.
Hurk, Job van den, et al.. (2022). More complex than you might think: Neural representations of food reward value in obesity. Appetite. 178. 106164–106164. 7 indexed citations
8.
Gooijers, Jolien, et al.. (2021). Representational similarity scores of digits in the sensorimotor cortex are associated with behavioral performance. Cerebral Cortex. 32(17). 3848–3863. 2 indexed citations
9.
González‐Escamilla, Gabriel, Dumitru Ciolac, Silvia De Santis, et al.. (2020). Gray matter network reorganization in multiple sclerosis from 7‐Tesla and 3‐Tesla MRI data. Annals of Clinical and Translational Neurology. 7(4). 543–553. 10 indexed citations
10.
11.
Harms, Robbert & Alard Roebroeck. (2018). Robust and Fast Markov Chain Monte Carlo Sampling of Diffusion MRI Microstructure Models. Frontiers in Neuroinformatics. 12. 97–97. 33 indexed citations
12.
Santis, Silvia De, Derek K. Jones, & Alard Roebroeck. (2016). Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter. NeuroImage. 130. 91–103. 70 indexed citations
13.
Bittner, Robert A., David E.J. Linden, Alard Roebroeck, et al.. (2014). The When and Where of Working Memory Dysfunction in Early-Onset Schizophrenia—A Functional Magnetic Resonance Imaging Study. Cerebral Cortex. 25(9). 2494–2506. 41 indexed citations
14.
Prčkovska, Vesna, Matteo Bastiani, Pim Pullens, et al.. (2013). Optimal Short-Time Acquisition Schemes in High Angular Resolution Diffusion-Weighted Imaging. International Journal of Biomedical Imaging. 2013. 1–17. 11 indexed citations
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Siep, Nicolette, Anne Roefs, Alard Roebroeck, et al.. (2011). Food reward in the anorectic brain. Appetite. 57(2). 538–538. 1 indexed citations
17.
Roebroeck, Alard, Anil K. Seth, & Pedro A. Valdés‐Sosa. (2009). Causal time series analysis of functional magnetic resonance imaging data. Data Archiving and Networked Services (DANS). 12. 65–94. 19 indexed citations
18.
Graaf, Tom A. de, et al.. (2009). FMRI Effective Connectivity and TMS Chronometry: Complementary Accounts of Causality in the Visuospatial Judgment Network. PLoS ONE. 4(12). e8307–e8307. 29 indexed citations
19.
Kujala, Jan, Kristen Pammer, Piers L. Cornelissen, et al.. (2006). Phase Coupling in a Cerebro-Cerebellar Network at 8–13 Hz during Reading. Cerebral Cortex. 17(6). 1476–1485. 105 indexed citations
20.
Roebroeck, Alard, Elia Formisano, & Rainer Goebel. (2005). Mapping directed influence over the brain using Granger causality and fMRI. NeuroImage. 25(1). 230–242. 772 indexed citations breakdown →

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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