Thijs Dhollander
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- Advanced Neuroimaging Techniques and Applications 49
- Advanced MRI Techniques and Applications 19
- MRI in cancer diagnosis 6
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 21
- Neural dynamics and brain function 3
- Computational Mathematics top 2%
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- Neonatal and fetal brain pathology 11
- Fetal and Pediatric Neurological Disorders 10
- Infant Development and Preterm Care 4
- Neurology top 5%
- Co-authors
- Alan ConnellyJacques‐Donald TournierBen JeurissenDavid RaffeltDaan ChristiaensJan SijbersRobert E. SmithChun‐Hung Yeh
- Journals
- Neuron (1 paper)Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- AustraliaBelgiumUnited Kingdom
In The Last Decade
Thijs Dhollander
61 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 2.9k
- Cognitive Neuroscience 1.8k
- Computational Mathematics 47
- Pediatrics, Perinatology and Child Health 767
- Neurology 237
Countries citing papers authored by Thijs Dhollander
This map shows the geographic impact of Thijs Dhollander'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 Thijs Dhollander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thijs Dhollander more than expected).
Fields of papers citing papers by Thijs Dhollander
This network shows the impact of papers produced by Thijs Dhollander. 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 Thijs Dhollander. The network helps show where Thijs Dhollander may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thijs Dhollander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 19 | |
| 12 | 2020 | 24 | |
| 13 | 2019 | 57 | |
| 14 | 2019 | 17 | |
| 15 | 2017 | 43 | |
| 16 | 2017 | 35 | |
| 17 | Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI databreakdown → | 2014 | 895 |
| 18 | 2014 | 25 | |
| 19 | 2013 | 48 | |
| 20 | 2011 | 10 |
About Thijs Dhollander
Thijs Dhollander is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience, having authored 62 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (49 papers), Functional Brain Connectivity Studies (21 papers), Advanced MRI Techniques and Applications (19 papers), Neonatal and fetal brain pathology (11 papers), Fetal and Pediatric Neurological Disorders (10 papers), MRI in cancer diagnosis (6 papers), Infant Development and Preterm Care (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.9k citations), Cognitive Neuroscience (1.8k citations) and Computational Mathematics (47 citations). Thijs Dhollander has collaborated with scholars based in Australia, Belgium and United Kingdom. Frequent co-authors include Alan Connelly, Jacques‐Donald Tournier, Ben Jeurissen, David Raffelt, Daan Christiaens, Jan Sijbers, Robert E. Smith, Chun‐Hung Yeh, Maximilian Pietsch and Stefan Sunaert. Their work appears in journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.