Andrew P. Maurer

2.7k total citations
54 papers, 1.6k citations indexed

About

Andrew P. Maurer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Andrew P. Maurer has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 38 papers in Cellular and Molecular Neuroscience and 8 papers in Behavioral Neuroscience. Recurrent topics in Andrew P. Maurer's work include Memory and Neural Mechanisms (37 papers), Neuroscience and Neuropharmacology Research (33 papers) and Neural dynamics and brain function (22 papers). Andrew P. Maurer is often cited by papers focused on Memory and Neural Mechanisms (37 papers), Neuroscience and Neuropharmacology Research (33 papers) and Neural dynamics and brain function (22 papers). Andrew P. Maurer collaborates with scholars based in United States, Australia and Netherlands. Andrew P. Maurer's co-authors include Sara N. Burke, Bruce L. McNaughton, Carol A. Barnes, P. Lipa, Gary R. Sutherland, Stephen L. Cowen, Lynn Nadel, Azahara Oliva, Gergő Attila Nagy and Antonio Fernández‐Ruiz and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Andrew P. Maurer

53 papers receiving 1.6k 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 P. Maurer United States 23 1.3k 1.1k 175 168 138 54 1.6k
Mathieu Wolff France 25 1.0k 0.8× 835 0.8× 133 0.8× 72 0.4× 159 1.2× 40 1.4k
Ingrid Bethus France 12 1.0k 0.8× 661 0.6× 127 0.7× 91 0.5× 136 1.0× 17 1.4k
Marian Tsanov Ireland 20 927 0.7× 773 0.7× 146 0.8× 77 0.5× 106 0.8× 28 1.3k
Adrian J. Duszkiewicz United Kingdom 6 742 0.6× 740 0.7× 164 0.9× 100 0.6× 236 1.7× 9 1.2k
Romain Goutagny France 25 1.6k 1.2× 1.1k 1.0× 154 0.9× 283 1.7× 215 1.6× 37 2.1k
Sophie Dix United Kingdom 16 829 0.6× 717 0.7× 118 0.7× 121 0.7× 265 1.9× 24 1.4k
Dmitry Gerashchenko United States 29 2.1k 1.6× 654 0.6× 146 0.8× 256 1.5× 238 1.7× 57 2.8k
Ferenc Mátyás Hungary 16 1.3k 1.0× 1.4k 1.3× 144 0.8× 59 0.4× 207 1.5× 22 2.0k
John Gigg United Kingdom 20 678 0.5× 860 0.8× 91 0.5× 189 1.1× 267 1.9× 36 1.3k
Steven J. Middleton Japan 14 1.2k 0.9× 1.2k 1.1× 256 1.5× 96 0.6× 324 2.3× 17 1.7k

Countries citing papers authored by Andrew P. Maurer

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Maurer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew P. Maurer

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. Maurer. A scholar is included among the top collaborators of Andrew P. Maurer 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 P. Maurer. Andrew P. Maurer 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.
Qin, Yu, et al.. (2023). Nonlinear Theta-Gamma Coupling between the Anterior Thalamus and Hippocampus Increases as a Function of Running Speed. eNeuro. 10(3). ENEURO.0470–21.2023. 1 indexed citations
2.
Colón-Pérez, Luis M., Marjory Pompilus, Jennifer L. Bizon, et al.. (2023). Touchscreen-Based Cognitive Training Alters Functional Connectivity Patterns in Aged But Not Young Male Rats. eNeuro. 10(2). ENEURO.0329–22.2023. 1 indexed citations
3.
Fitzsimmons, Bethany, Ronald C. Bruntz, Kia H. Markussen, et al.. (2023). Gys1 Antisense Therapy Prevents Disease-Driving Aggregates and Epileptiform Discharges in a Lafora Disease Mouse Model. Neurotherapeutics. 20(6). 1808–1819. 11 indexed citations
4.
Burke, Sara N., et al.. (2022). Advanced age has dissociable effects on hippocampal CA1 ripples and CA3 high frequency events in male rats. Neurobiology of Aging. 117. 44–58. 1 indexed citations
5.
Wang, Jian, Joseph Bradley, C. Brew, et al.. (2022). Domain-specific knowledge distillation yields smaller and better models for conversational commerce. 151–160. 1 indexed citations
6.
Miller, Douglas R., et al.. (2021). Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity. Journal of Neuroscience. 41(25). 5453–5470. 16 indexed citations
7.
Johnson, Sarah A., et al.. (2021). Rodent mnemonic similarity task performance requires the prefrontal cortex. Hippocampus. 31(7). 701–716. 13 indexed citations
8.
Burke, Sara N. & Andrew P. Maurer. (2020). Floating ideas on theta waves.. Behavioral Neuroscience. 134(6). 471–474. 1 indexed citations
9.
Sheremet, A., et al.. (2019). Methodological Considerations on the Use of Different Spectral Decomposition Algorithms to Study Hippocampal Rhythms. eNeuro. 6(4). ENEURO.0142–19.2019. 24 indexed citations
10.
Johnson, Sarah A., et al.. (2019). The perirhinal cortex supports spatial intertemporal choice stability. Neurobiology of Learning and Memory. 162. 36–46. 7 indexed citations
11.
Sheremet, A., et al.. (2019). Wave Turbulence and Energy Cascade in the Hippocampus. Frontiers in Systems Neuroscience. 12. 62–62. 22 indexed citations
12.
Miller, Douglas R., et al.. (2019). Methamphetamine regulation of activity and topology of ventral midbrain networks. PLoS ONE. 14(9). e0222957–e0222957. 9 indexed citations
13.
Sheremet, A., et al.. (2018). Theta-gamma cascades and running speed. Journal of Neurophysiology. 121(2). 444–458. 27 indexed citations
14.
Nadel, Lynn & Andrew P. Maurer. (2018). Recalling Lashley and reconsolidating Hebb. Hippocampus. 30(8). 776–793. 25 indexed citations
15.
Maurer, Andrew P., Sara N. Burke, Kamran Diba, & Carol A. Barnes. (2017). Attenuated Activity across Multiple Cell Types and Reduced Monosynaptic Connectivity in the Aged Perirhinal Cortex. Journal of Neuroscience. 37(37). 8965–8974. 11 indexed citations
16.
Engle, James R., et al.. (2016). Network Patterns Associated with Navigation Behaviors Are Altered in Aged Nonhuman Primates. Journal of Neuroscience. 36(48). 12217–12227. 6 indexed citations
17.
Sheremet, A., Sara N. Burke, & Andrew P. Maurer. (2016). Movement Enhances the Nonlinearity of Hippocampal Theta. Journal of Neuroscience. 36(15). 4218–4230. 40 indexed citations
18.
Burke, Sara N., et al.. (2014). Advanced Age Dissociates Dual Functions of the Perirhinal Cortex. Journal of Neuroscience. 34(2). 467–480. 27 indexed citations
19.
Burke, Sara N., Andrew P. Maurer, Andrea L. Hartzell, et al.. (2012). Representation of three‐dimensional objects by the rat perirhinal cortex. Hippocampus. 22(10). 2032–2044. 56 indexed citations
20.
Maurer, Andrew P., et al.. (2005). Self‐motion and the origin of differential spatial scaling along the septo‐temporal axis of the hippocampus. Hippocampus. 15(7). 841–852. 214 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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