Marius de Groot

2.8k citations
56 papers · 2.0k · h-index 23

Impact in

Papers in

Marius de Groot

52 papers receiving 1.9k citations

Peers

Marius de Groot
Comparison fields: 5 of 96
  • Radiology, Nuclear Medicine and Imaging 830
  • Cognitive Neuroscience 497
  • Psychiatry and Mental health 339
  • Neurology 165
  • Computational Mathematics 10
Replace Faiza Admiraal‐Behloul with:
Faiza Admiraal‐Behloul Netherlands
Goran Vučurević Germany
Yawu Liu Finland
Jonathan D. Clayden United Kingdom
Michael Augustin Austria
Fedde van der Lijn Netherlands
Andreas J. Bartsch Germany
Shingo Kakeda Japan
Arash Kamali United States
Ian B. Malone United Kingdom
Marius de Groot relative to Faiza Admiraal‐Behloul Netherlands Faiza Admiraal‐Behloul's profile →
Citations per field
00.5×12×
Faiza Admiraal‐Behloul · 1×
Citations per year

Countries citing papers authored by Marius de Groot

Since Specialization
Citations

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

Fields of papers citing papers by Marius de Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marius de Groot. 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 Marius de Groot. The network helps show where Marius de Groot may publish in the future.

Co-authors

The 25 scholars most cited alongside Marius de Groot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marius de Groot Line = papers co-authored together Marius de Groot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013204
2 2014177
3 2008167
4 2013152
5 2018121
6 2012102
7 201586
8 201281
9 201572
10 201363
11 201663
12 201359
13 201841
14 201639
15 201534
16 202032
17 201630
18 201729
19 201729
20 201628

About Marius de Groot

Marius de Groot is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (30 papers), Advanced MRI Techniques and Applications (15 papers), Functional Brain Connectivity Studies (10 papers), Dementia and Cognitive Impairment Research (6 papers), Fetal and Pediatric Neurological Disorders (5 papers), MRI in cancer diagnosis (3 papers), Advanced Neural Network Applications (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (830 citations), Cognitive Neuroscience (497 citations), Psychiatry and Mental health (339 citations), Neurology (165 citations) and Computational Mathematics (10 citations). Marius de Groot has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Wiro J. Niessen, Meike W. Vernooij, M. Arfan Ikram, Aad van der Lugt, Albert Hofman, Stefan Klein, Gabriël P. Krestin, Lotte G.M. Cremers, Monique M.B. Breteler and Saloua Akoudad. Their work appears in journals such as NeuroImage, Neurobiology of Aging, Neurology, Alzheimer s & Dementia and European Radiology.

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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