Alida A. Gouw

8.8k total citations · 1 hit paper
81 papers, 4.7k citations indexed

About

Alida A. Gouw is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Alida A. Gouw has authored 81 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 29 papers in Psychiatry and Mental health and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Alida A. Gouw's work include Functional Brain Connectivity Studies (43 papers), Neural dynamics and brain function (26 papers) and Dementia and Cognitive Impairment Research (25 papers). Alida A. Gouw is often cited by papers focused on Functional Brain Connectivity Studies (43 papers), Neural dynamics and brain function (26 papers) and Dementia and Cognitive Impairment Research (25 papers). Alida A. Gouw collaborates with scholars based in Netherlands, Sweden and Italy. Alida A. Gouw's co-authors include Philip Scheltens, Wiesje M. van der Flier, Cornelis J. Stam, Frederik Barkhof, Elisabeth C.W. van Straaten, Alexandra Seewann, Annemieke J.M. Rozemüller, Arjan Hillebrand, Leonardo Pantoni and Jeroen Geurts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

In The Last Decade

Alida A. Gouw

78 papers receiving 4.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Heterogeneity of small vessel disease: a systematic review of MRI and histopathology correlations

2010 570 citations Alida A. Gouw, Wiesje M. van der Flier et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alida A. Gouw Netherlands	39	1.8k	1.3k	965	921	919	81	4.7k
Elisabeth C.W. van Straaten Netherlands	47	3.1k 1.7×	1.8k 1.4×	1.3k 1.4×	954 1.0×	1.2k 1.3×	89	6.4k
Susana Muñoz Maniega United Kingdom	41	1.9k 1.1×	1.6k 1.2×	2.4k 2.5×	1.0k 1.1×	1.1k 1.2×	125	6.6k
Sang Won Seo South Korea	40	1.6k 0.9×	2.0k 1.5×	1.2k 1.2×	818 0.9×	959 1.0×	199	5.0k
Evan Fletcher United States	29	1.4k 0.8×	1.5k 1.1×	1.3k 1.4×	390 0.4×	728 0.8×	80	3.8k
Fausto Viader France	35	1.8k 1.0×	1.3k 1.0×	1.1k 1.2×	936 1.0×	521 0.6×	87	5.0k
Roberto Gasparotti Italy	36	1.4k 0.8×	985 0.8×	911 0.9×	1.7k 1.9×	499 0.5×	171	5.2k
Amy Brodtmann Australia	32	988 0.5×	825 0.6×	701 0.7×	524 0.6×	862 0.9×	151	3.6k
Carles Falcón Spain	40	1.9k 1.1×	1.3k 1.0×	1.1k 1.1×	535 0.6×	1.0k 1.1×	155	4.9k
Asta K. Håberg Norway	43	1.4k 0.8×	827 0.6×	1.3k 1.3×	988 1.1×	473 0.5×	191	5.6k
Jurgen A.H.R. Claassen Netherlands	43	1.3k 0.7×	1.1k 0.8×	1.6k 1.6×	2.1k 2.2×	840 0.9×	179	6.9k

Countries citing papers authored by Alida A. Gouw

Since Specialization

Citations

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

Fields of papers citing papers by Alida A. Gouw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alida A. Gouw. 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 Alida A. Gouw. The network helps show where Alida A. Gouw may publish in the future.

Co-authorship network of co-authors of Alida A. Gouw

This figure shows the co-authorship network connecting the top 25 collaborators of Alida A. Gouw. A scholar is included among the top collaborators of Alida A. Gouw 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 Alida A. Gouw. Alida A. Gouw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Haan, Willem de, Emma M. Coomans, Anouk den Braber, et al.. (2024). Amyloid-β deposition predicts oscillatory slowing of magnetoencephalography signals and a reduction of functional connectivity over time in cognitively unimpaired adults. Brain Communications. 7(1). fcaf018–fcaf018.

Stadhouder, Agnita, et al.. (2024). Risk factors for neurophysiological events related to intraoperative halo-femoral traction in spinal deformity surgery. European Spine Journal. 33(6). 2476–2485. 1 indexed citations

Schoonhoven, Deborah N., Emma M. Coomans, Ana P. Millán, et al.. (2023). Tau protein spreads through functionally connected neurons in Alzheimer’s disease: a combined MEG/PET study. Brain. 146(10). 4040–4054. 33 indexed citations

Haan, Willem de, et al.. (2023). Longitudinal resting-state EEG in amyloid-positive patients along the Alzheimer’s disease continuum: considerations for clinical trials. Alzheimer s Research & Therapy. 15(1). 182–182. 14 indexed citations

Gouw, Alida A.. (2023). Clinical appications of EEG/MEG in AD: diagnosis, prognosis and treatment monitoring. Alzheimer s & Dementia. 19(S12).

Schoonhoven, Deborah N., Casper T. Briels, Arjan Hillebrand, et al.. (2022). Sensitive and reproducible MEG resting-state metrics of functional connectivity in Alzheimer’s disease. Alzheimer s Research & Therapy. 14(1). 38–38. 38 indexed citations

Okkersen, Kees, Nens van Alfen, Roy P. C. Kessels, et al.. (2020). Characterization of EEG-based functional brain networks in myotonic dystrophy type 1. Clinical Neurophysiology. 131(8). 1886–1895. 3 indexed citations

Peeters‐Scholte, Cacha, Martijn R. Tannemaat, Francisca T. de Bruı̈ne, et al.. (2020). The degree of prematurity affects functional brain activity in preterm born children at school-age: An EEG study. Early Human Development. 148. 105096–105096. 6 indexed citations

Douw, Linda, Edwin van Dellen, Alida A. Gouw, et al.. (2019). The road ahead in clinical network neuroscience. Network Neuroscience. 3(4). 969–993. 28 indexed citations

10.

Someren, Eus J.W. Van, Joukje M. Oosterman, Barbera van Harten, et al.. (2018). Medial temporal lobe atrophy relates more strongly to sleep-wake rhythm fragmentation than to age or any other known risk. Neurobiology of Learning and Memory. 160. 132–138. 52 indexed citations

11.

Engels, Marjolein M.A., Meichen Yu, Cornelis J. Stam, et al.. (2017). Directional information flow in patients with Alzheimer's disease. A source-space resting-state MEG study. NeuroImage Clinical. 15. 673–681. 29 indexed citations

12.

Haan, Willem de, Elisabeth C.W. van Straaten, Alida A. Gouw, & Cornelis J. Stam. (2017). Altering neuronal excitability to preserve network connectivity in a computational model of Alzheimer's disease. PLoS Computational Biology. 13(9). e1005707–e1005707. 55 indexed citations

13.

Madureira, Sofia, Ana Verdelho, Carla Moleiro, et al.. (2016). White Matter Changes and Cognitive Decline in a Ten-Year Follow-Up Period: A Pilot Study on a Single-Center Cohort from the Leukoaraiosis and Disability Study. Dementia and Geriatric Cognitive Disorders. 41(5-6). 303–313. 2 indexed citations

14.

Poggesi, Anna, Alida A. Gouw, Wiesje M. van der Flier, et al.. (2014). Neurological abnormalities predict disability: the LADIS (Leukoaraiosis And DISability) study. Journal of Neurology. 261(6). 1160–1169. 14 indexed citations

15.

Jokinen, Hanna, Reinhold Schmidt, Stefan Ropele, et al.. (2012). Diffusion changes predict cognitive and functional outcome: The LADIS study. Annals of Neurology. 73(5). 576–583. 58 indexed citations

16.

Gouw, Alida A., Wiesje M. van der Flier, Franz Fazekas, et al.. (2008). Progression of White Matter Hyperintensities and Incidence of New Lacunes Over a 3-Year Period. Stroke. 39(5). 1414–1420. 297 indexed citations

17.

Oosterman, Joukje M., Barbera van Harten, Rufin Vogels, et al.. (2007). Distortions in rest–activity rhythm in aging relate to white matter hyperintensities. Neurobiology of Aging. 29(8). 1265–1271. 25 indexed citations

18.

Vogels, Raymond L.C., Wiesje M. van der Flier, Barbera van Harten, et al.. (2007). Brain Magnetic Resonance Imaging Abnormalities in Patients with Heart Failure. European Journal of Heart Failure. 9(10). 1003–1009. 126 indexed citations

19.

Gouw, Alida A., Wiesje M. van der Flier, Elisabeth C.W. van Straaten, et al.. (2006). Simple versus complex assessment of white matter hyperintensities in relation to physical performance and cognition: the LADIS study. Journal of Neurology. 253(9). 1189–1196. 98 indexed citations

20.

Gouw, Alida A., Wiesje M. van der Flier, Elisabeth C.W. van Straaten, et al.. (2006). IC–P–102: Reliability and sensitivity of visual scales versus volumetry for evaluating white matter hyperintensity progression: The LADIS study. Alzheimer s & Dementia. 2(3S_Part_22). 1 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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