Daniel G. Wakeman

767 total citations
10 papers, 495 citations indexed

About

Daniel G. Wakeman is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Daniel G. Wakeman has authored 10 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Psychiatry and Mental health. Recurrent topics in Daniel G. Wakeman's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Daniel G. Wakeman is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Daniel G. Wakeman collaborates with scholars based in United States, United Kingdom and Netherlands. Daniel G. Wakeman's co-authors include Richard N. Henson, Olaf Hauk, Naoaki Tanaka, Steven M. Stufflebeam, Hesheng Liu, Linda Douw, Vladimir Litvak, Karl Friston, Matti Hämäläinen and Joseph R. Madsen and has published in prestigious journals such as NeuroImage, Neurology and Neuroscience.

In The Last Decade

Daniel G. Wakeman

9 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Wakeman United States 7 417 142 62 50 39 10 495
Eduardo Aubert-Vázquez Cuba 8 407 1.0× 82 0.6× 103 1.7× 47 0.9× 40 1.0× 10 527
R. Drenckhahn Germany 6 399 1.0× 159 1.1× 77 1.2× 64 1.3× 21 0.5× 8 526
Arent de Jongh Netherlands 11 394 0.9× 127 0.9× 55 0.9× 92 1.8× 27 0.7× 15 570
Luís Freire Portugal 6 475 1.1× 237 1.7× 61 1.0× 67 1.3× 48 1.2× 11 628
Emmanuel Olivi France 3 799 1.9× 121 0.9× 90 1.5× 71 1.4× 82 2.1× 5 908
Elizabeth Bock Canada 7 384 0.9× 63 0.4× 21 0.3× 44 0.9× 25 0.6× 11 447
A. Basilisco Italy 6 590 1.4× 92 0.6× 71 1.1× 27 0.5× 30 0.8× 10 624
Joachim Böttger Germany 8 292 0.7× 172 1.2× 16 0.3× 19 0.4× 30 0.8× 12 428
Mark Jarmasz Canada 8 444 1.1× 166 1.2× 45 0.7× 24 0.5× 62 1.6× 15 642
Luca Ciancetta Italy 4 562 1.3× 129 0.9× 22 0.4× 21 0.4× 37 0.9× 6 594

Countries citing papers authored by Daniel G. Wakeman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Wakeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Wakeman. 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 Daniel G. Wakeman. The network helps show where Daniel G. Wakeman may publish in the future.

Co-authorship network of co-authors of Daniel G. Wakeman

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

All Works

10 of 10 papers shown
1.
2.
Wakeman, Daniel G., Keith McGregor, Venkatagiri Krishnamurthy, et al.. (2023). Urinary incontinence‐related effects on functional connectivity circuits in persons with Parkinson's disease. Neurourology and Urodynamics. 42(8). 1694–1701. 1 indexed citations
3.
Bove, Jessica, Jeffrey S. Phillips, Katheryn A Q Cousins, et al.. (2021). Social and leisure activity are associated with attenuated cortical loss in behavioral variant frontotemporal degeneration. NeuroImage Clinical. 30. 102629–102629. 8 indexed citations
4.
Bove, Jessica, et al.. (2020). The Effect of Social and Leisure Activity Engagement on Cortical Thickness in bvFTD (228). Neurology. 94(15_supplement). 1 indexed citations
5.
Douw, Linda, Daniel G. Wakeman, Naoaki Tanaka, Hesheng Liu, & Steven M. Stufflebeam. (2016). State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility. Neuroscience. 339. 12–21. 111 indexed citations
6.
Poulsen, Catherine, et al.. (2016). Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality. Magnetic Resonance in Medicine. 77(2). 895–903. 14 indexed citations
7.
Wakeman, Daniel G. & Richard N. Henson. (2015). A multi-subject, multi-modal human neuroimaging dataset. Scientific Data. 2(1). 150001–150001. 110 indexed citations
8.
Henson, Richard N., Daniel G. Wakeman, Vladimir Litvak, & Karl Friston. (2011). A Parametric Empirical Bayesian Framework for the EEG/MEG Inverse Problem: Generative Models for Multi-Subject and Multi-Modal Integration. Frontiers in Human Neuroscience. 5. 76–76. 79 indexed citations
9.
Hauk, Olaf, Daniel G. Wakeman, & Richard N. Henson. (2010). Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics. NeuroImage. 54(3). 1966–1974. 143 indexed citations
10.
Tanaka, Naoaki, Andrew J. Cole, Daniel G. Wakeman, et al.. (2009). Dynamic statistical parametric mapping for analyzing ictal magnetoencephalographic spikes in patients with intractable frontal lobe epilepsy. Epilepsy Research. 85(2-3). 279–286. 28 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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