Mark J.R.J. Bouts

1.1k total citations
25 papers, 614 citations indexed

About

Mark J.R.J. Bouts is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Epidemiology. According to data from OpenAlex, Mark J.R.J. Bouts has authored 25 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Neurology and 9 papers in Epidemiology. Recurrent topics in Mark J.R.J. Bouts's work include Advanced Neuroimaging Techniques and Applications (15 papers), Acute Ischemic Stroke Management (9 papers) and Advanced MRI Techniques and Applications (6 papers). Mark J.R.J. Bouts is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Acute Ischemic Stroke Management (9 papers) and Advanced MRI Techniques and Applications (6 papers). Mark J.R.J. Bouts collaborates with scholars based in Netherlands, United States and United Kingdom. Mark J.R.J. Bouts's co-authors include Ona Wu, Rick M. Dijkhuizen, Annette van der Toorn, Serge A.R.B. Rombouts, William A. Copen, Jeroen van der Grond, Pedro Cougo, Lisa Cloonan, Karen L. Furie and John C. van Swieten and has published in prestigious journals such as Stroke, Journal of Neurochemistry and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Mark J.R.J. Bouts

25 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J.R.J. Bouts Netherlands 15 203 190 178 150 114 25 614
Zhijian Liang China 14 139 0.7× 162 0.9× 195 1.1× 186 1.2× 111 1.0× 55 702
Erik I. Hoff Netherlands 12 136 0.7× 166 0.9× 88 0.5× 215 1.4× 83 0.7× 24 602
J. L. Zubieta Spain 20 308 1.5× 221 1.2× 89 0.5× 105 0.7× 86 0.8× 42 952
Katsufumi Kajimoto Japan 14 123 0.6× 117 0.6× 89 0.5× 91 0.6× 113 1.0× 40 585
Franco Chioffi Italy 18 248 1.2× 391 2.1× 116 0.7× 95 0.6× 104 0.9× 42 929
Whitney M. Freeze Netherlands 14 315 1.6× 140 0.7× 141 0.8× 159 1.1× 64 0.6× 26 644
Nikki Dieleman Netherlands 13 230 1.1× 168 0.9× 211 1.2× 70 0.5× 357 3.1× 17 656
Zahra Shirzadi Canada 15 154 0.8× 172 0.9× 51 0.3× 81 0.5× 91 0.8× 33 601
Bogdan Pintea Germany 15 193 1.0× 103 0.5× 87 0.5× 159 1.1× 33 0.3× 41 707

Countries citing papers authored by Mark J.R.J. Bouts

Since Specialization
Citations

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

Fields of papers citing papers by Mark J.R.J. Bouts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J.R.J. Bouts. 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 Mark J.R.J. Bouts. The network helps show where Mark J.R.J. Bouts may publish in the future.

Co-authorship network of co-authors of Mark J.R.J. Bouts

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J.R.J. Bouts. A scholar is included among the top collaborators of Mark J.R.J. Bouts 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 Mark J.R.J. Bouts. Mark J.R.J. Bouts 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.
Vos, Frank de, Tijn M. Schouten, Marisa Koini, et al.. (2020). Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients. NeuroImage Clinical. 27. 102303–102303. 3 indexed citations
2.
Grond, Jeroen van der, Mark J.R.J. Bouts, Jessica Panman, et al.. (2020). Classification using fractional anisotropy predicts conversion in genetic frontotemporal dementia, a proof of concept. Brain Communications. 2(2). fcaa079–fcaa079. 4 indexed citations
3.
Winzeck, Stefan, Steven J. T. Mocking, Mark J.R.J. Bouts, et al.. (2019). Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI. American Journal of Neuroradiology. 40(6). 938–945. 38 indexed citations
4.
Panman, Jessica, Lize C. Jiskoot, Mark J.R.J. Bouts, et al.. (2019). Gray and white matter changes in presymptomatic genetic frontotemporal dementia: a longitudinal MRI study. Neurobiology of Aging. 76. 115–124. 44 indexed citations
5.
Bouts, Mark J.R.J., Elise G.P. Dopper, Nicola Filippini, et al.. (2019). Multimodal MRI of grey matter, white matter, and functional connectivity in cognitively healthy mutation carriers at risk for frontotemporal dementia and Alzheimer's disease. BMC Neurology. 19(1). 343–343. 9 indexed citations
6.
Bouts, Mark J.R.J., Frank de Vos, Tijn M. Schouten, et al.. (2019). A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers. Journal of Neurology Neurosurgery & Psychiatry. 90(11). 1207–1214. 16 indexed citations
7.
Panman, Jessica, Emma L. van der Ende, Jackie M. Poos, et al.. (2019). Bias Introduced by Multiple Head Coils in MRI Research: An 8 Channel and 32 Channel Coil Comparison. Frontiers in Neuroscience. 13. 729–729. 34 indexed citations
8.
Hafkemeijer, Anne, Mark J.R.J. Bouts, Jeroen van der Grond, et al.. (2019). Age- and disease-related cerebral white matter changes in patients with Parkinson's disease. Neurobiology of Aging. 80. 203–209. 26 indexed citations
9.
Etherton, Mark R., Ona Wu, Pedro Cougo, et al.. (2019). Sex-specific differences in white matter microvascular integrity after ischaemic stroke. Stroke and Vascular Neurology. 4(4). 198–205. 9 indexed citations
10.
Bouts, Mark J.R.J., Jeroen van der Grond, Meike W. Vernooij, et al.. (2019). Detection of mild cognitive impairment in a community‐dwelling population using quantitative, multiparametric MRI‐based classification. Human Brain Mapping. 40(9). 2711–2722. 5 indexed citations
11.
Bouts, Mark J.R.J., Jessica Panman, Lize C. Jiskoot, et al.. (2018). Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI. NeuroImage Clinical. 20. 188–196. 24 indexed citations
12.
Bouts, Mark J.R.J., Christiane Möller, Anne Hafkemeijer, et al.. (2018). Single Subject Classification of Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging. Journal of Alzheimer s Disease. 62(4). 1827–1839. 36 indexed citations
13.
Rost, Natalia S., Pedro Cougo, Svetlana Lorenzano, et al.. (2017). Diffuse microvascular dysfunction and loss of white matter integrity predict poor outcomes in patients with acute ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. 38(1). 75–86. 57 indexed citations
14.
Panman, Jessica, Lieke Meeter, Mark J.R.J. Bouts, et al.. (2017). [P2–338]: ARE NEUROFILAMENT LIGHT CHAIN AND WHITE MATTER INTEGRITY RELATED BIOMARKERS FOR FAMILIAL FRONTOTEMPORAL DEMENTIA?. Alzheimer s & Dementia. 13(7S_Part_15). 1 indexed citations
15.
Seevinck, Peter R., Umesh Rudrapatna, Mark J.R.J. Bouts, et al.. (2016). Magnetic resonance imaging of local and remote vascular remodelling after experimental stroke. Journal of Cerebral Blood Flow & Metabolism. 37(8). 2768–2779. 24 indexed citations
16.
Bouts, Mark J.R.J., et al.. (2016). Prediction of hemorrhagic transformation after experimental ischemic stroke using MRI-based algorithms. Journal of Cerebral Blood Flow & Metabolism. 37(8). 3065–3076. 8 indexed citations
17.
Bouts, Mark J.R.J., Susan V. Westmoreland, Alex J. de Crespigny, et al.. (2015). Magnetic resonance imaging-based cerebral tissue classification reveals distinct spatiotemporal patterns of changes after stroke in non-human primates. BMC Neuroscience. 16(1). 91–91. 2 indexed citations
18.
Bouts, Mark J.R.J., et al.. (2013). Early Identification of Potentially Salvageable Tissue with MRI-Based Predictive Algorithms after Experimental Ischemic Stroke. Journal of Cerebral Blood Flow & Metabolism. 33(7). 1075–1082. 37 indexed citations
19.
Dijkhuizen, Rick M., et al.. (2012). Effect of Interferon-β on Neuroinflammation, Brain Injury and Neurological Outcome After Experimental Subarachnoid Hemorrhage. Neurocritical Care. 18(1). 96–105. 11 indexed citations
20.
Bouts, Mark J.R.J., Ona Wu, Tom A.P. Roeling, et al.. (2007). Manganese-Enhanced MRI of Brain Plasticity in Relation to Functional Recovery after Experimental Stroke. Journal of Cerebral Blood Flow & Metabolism. 28(4). 832–840. 44 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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