Andrew Reid

2.7k total citations
36 papers, 1.7k citations indexed

About

Andrew Reid is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Andrew Reid has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Physiology. Recurrent topics in Andrew Reid's work include Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Neural dynamics and brain function (14 papers). Andrew Reid is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (17 papers) and Neural dynamics and brain function (14 papers). Andrew Reid collaborates with scholars based in Germany, Netherlands and Canada. Andrew Reid's co-authors include Simon B. Eickhoff, Alan C. Evans, Rolf Kötter, Katrin Amunts, Sarah Genon, Robert Langner, Peter T. Fox, Angela R. Laird, Frank‐Erik de Leeuw and Anouk G.W. van Norden and has published in prestigious journals such as Nature Neuroscience, NeuroImage and Stroke.

In The Last Decade

Andrew Reid

34 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Reid Germany 22 1.2k 519 240 204 133 36 1.7k
Edward L. Maclin United States 25 1.2k 0.9× 674 1.3× 159 0.7× 180 0.9× 141 1.1× 44 2.0k
Óscar Miranda-Domínguez United States 19 1.2k 1.0× 436 0.8× 286 1.2× 255 1.3× 89 0.7× 50 1.9k
Alberto Llera Netherlands 17 1.4k 1.1× 478 0.9× 250 1.0× 289 1.4× 67 0.5× 39 1.8k
Kai Hwang United States 20 1.8k 1.5× 538 1.0× 233 1.0× 326 1.6× 120 0.9× 44 2.4k
Sophia Mueller Germany 16 1.8k 1.4× 755 1.5× 243 1.0× 226 1.1× 118 0.9× 24 2.1k
Asier Erramuzpe Spain 14 1.6k 1.3× 488 0.9× 257 1.1× 377 1.8× 102 0.8× 33 2.3k
Alexandre R. Franco United States 23 1.7k 1.4× 497 1.0× 377 1.6× 352 1.7× 165 1.2× 68 2.3k
Sarah Genon Germany 24 1.4k 1.2× 507 1.0× 291 1.2× 297 1.5× 105 0.8× 56 1.8k
Rodrigo M. Braga United States 18 1.7k 1.3× 481 0.9× 174 0.7× 319 1.6× 119 0.9× 31 1.9k
Zhang-Ye Dong China 9 1.8k 1.4× 650 1.3× 332 1.4× 408 2.0× 141 1.1× 9 2.1k

Countries citing papers authored by Andrew Reid

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Reid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Reid. 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 Andrew Reid. The network helps show where Andrew Reid may publish in the future.

Co-authorship network of co-authors of Andrew Reid

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Reid. A scholar is included among the top collaborators of Andrew Reid 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 Andrew Reid. Andrew Reid 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.
Reid, Andrew, Yu Zhang, Ravi D. Mill, et al.. (2025). Right posterior theta reflects human parahippocampal phase resetting by salient cues during goal-directed navigation. Imaging Neuroscience. 3.
2.
3.
Reid, Andrew, Julia A. Camilleri, Felix Hoffstaedter, & Simon B. Eickhoff. (2022). Tract-specific statistics based on diffusion-weighted probabilistic tractography. Communications Biology. 5(1). 138–138. 2 indexed citations
4.
Sierpowska, Joanna, Andrew Reid, Anil M. Tuladhar, et al.. (2020). White matter hyperintensities at critical crossroads for executive function and verbal abilities in small vessel disease. Human Brain Mapping. 42(4). 993–1002. 21 indexed citations
5.
Reid, Andrew, Drew B. Headley, Ravi D. Mill, et al.. (2019). Advancing functional connectivity research from association to causation. Nature Neuroscience. 22(11). 1751–1760. 194 indexed citations
6.
Hoffstaedter, Felix, et al.. (2018). Functional hierarchy of oculomotor and visual motion subnetworks within the human cortical optokinetic system. Brain Structure and Function. 224(2). 567–582. 2 indexed citations
7.
Genon, Sarah, Tobias Wensing, Andrew Reid, et al.. (2017). Searching for behavior relating to grey matter volume in a-priori defined right dorsal premotor regions: Lessons learned. NeuroImage. 157. 144–156. 15 indexed citations
8.
Jockwitz, Christiane, Svenja Caspers, Silke Lux, et al.. (2017). Influence of age and cognitive performance on resting-state brain networks of older adults in a population-based cohort. Cortex. 89. 28–44. 54 indexed citations
9.
Khundrakpam, Budhachandra, Andrew Reid, John D. Lewis, et al.. (2016). \nScaling in topological properties of brain networks. Radboud Repository (Radboud University). 18 indexed citations
10.
Varikuti, Deepthi P., Felix Hoffstaedter, Sarah Genon, et al.. (2016). Resting-state test–retest reliability of a priori defined canonical networks over different preprocessing steps. Brain Structure and Function. 222(3). 1447–1468. 29 indexed citations
11.
Bzdok, Danilo, Gesa Hartwigsen, Andrew Reid, et al.. (2016). Left inferior parietal lobe engagement in social cognition and language. Neuroscience & Biobehavioral Reviews. 68. 319–334. 136 indexed citations
12.
Khundrakpam, Budhachandra, John D. Lewis, Andrew Reid, et al.. (2016). Imaging structural covariance in the development of intelligence. NeuroImage. 144(Pt A). 227–240. 44 indexed citations
13.
Camilleri, Julia A., Andrew Reid, Veronika Müller, et al.. (2015). Multi-Modal Imaging of Neural Correlates of Motor Speed Performance in the Trail Making Test. Frontiers in Neurology. 6. 219–219. 7 indexed citations
14.
Reid, Andrew, Danilo Bzdok, Robert Langner, et al.. (2015). Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortex. Brain Structure and Function. 221(5). 2589–2605. 23 indexed citations
15.
Reid, Andrew, John D. Lewis, Gleb Bezgin, et al.. (2015). A cross-modal, cross-species comparison of connectivity measures in the primate brain. NeuroImage. 125. 311–331. 56 indexed citations
16.
Reid, Andrew & Alan C. Evans. (2013). Structural networks in Alzheimer's disease. European Neuropsychopharmacology. 23(1). 63–77. 69 indexed citations
17.
Hutton, Chloe, Oliver Josephs, Jörg Stadler, et al.. (2011). The impact of physiological noise correction on fMRI at 7 T. NeuroImage. 57(1). 101–112. 168 indexed citations
18.
Laat, Karlijn F. de, Andrew Reid, Alan C. Evans, et al.. (2011). Cortical thickness is associated with gait disturbances in cerebral small vessel disease. NeuroImage. 59(2). 1478–1484. 70 indexed citations
19.
Reid, Andrew & Carolyn W. Harley. (2009). An associativity requirement for locus coeruleus-induced long-term potentiation in the dentate gyrus of the urethane-anesthetized rat. Experimental Brain Research. 200(2). 151–159. 20 indexed citations
20.
Bojak, Ingo, Thom F. Oostendorp, Andrew Reid, & Rolf Kötter. (2009). Realistic mean field forward predictions for the integration of co-registered EEG/fMRI. BMC Neuroscience. 10(S1). 4 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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