Evan D. Remington

847 total citations
8 papers, 370 citations indexed

About

Evan D. Remington is a scholar working on Cognitive Neuroscience, Developmental Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Evan D. Remington has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Developmental Biology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Evan D. Remington's work include Neural dynamics and brain function (7 papers), Multisensory perception and integration (3 papers) and Neuroscience and Music Perception (3 papers). Evan D. Remington is often cited by papers focused on Neural dynamics and brain function (7 papers), Multisensory perception and integration (3 papers) and Neuroscience and Music Perception (3 papers). Evan D. Remington collaborates with scholars based in United States and Netherlands. Evan D. Remington's co-authors include Mehrdad Jazayeri, Devika Narain, Eghbal A. Hosseini, Seth W. Egger, Xiaoqin Wang, Michael S. Osmanski, Jing Wang, Chia-Jung Chang, Chris I. De Zeeuw and Chenggang Chen and has published in prestigious journals such as Nature Communications, Neuron and Nature Neuroscience.

In The Last Decade

Evan D. Remington

8 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan D. Remington United States 7 331 51 48 39 28 8 370
Peter F. Schade United States 7 378 1.1× 29 0.6× 25 0.5× 50 1.3× 68 2.4× 10 457
Amanda Reed United States 6 357 1.1× 102 2.0× 14 0.3× 15 0.4× 46 1.6× 7 398
Pinglei Bao United States 11 447 1.4× 95 1.9× 23 0.5× 45 1.2× 33 1.2× 17 525
David B. Omer Israel 11 362 1.1× 185 3.6× 18 0.4× 52 1.3× 11 0.4× 18 465
Thomas M. Hall United Kingdom 6 358 1.1× 152 3.0× 18 0.4× 33 0.8× 31 1.1× 6 405
Gustavo Borges Moreno e Mello Norway 4 241 0.7× 50 1.0× 36 0.8× 13 0.3× 20 0.7× 9 272
Eghbal A. Hosseini United States 8 613 1.9× 71 1.4× 188 3.9× 84 2.2× 65 2.3× 11 723
Juliana Y. Rhee United States 4 267 0.8× 139 2.7× 10 0.2× 27 0.7× 20 0.7× 5 332
Chris C. Rodgers United States 9 331 1.0× 169 3.3× 29 0.6× 14 0.4× 28 1.0× 13 447
Oswaldo Pérez Mexico 11 575 1.7× 47 0.9× 18 0.4× 52 1.3× 129 4.6× 15 620

Countries citing papers authored by Evan D. Remington

Since Specialization
Citations

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

Fields of papers citing papers by Evan D. Remington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan D. Remington. 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 Evan D. Remington. The network helps show where Evan D. Remington may publish in the future.

Co-authorship network of co-authors of Evan D. Remington

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

All Works

8 of 8 papers shown
1.
Chen, Chenggang, Evan D. Remington, & Xiaoqin Wang. (2023). Sound localization acuity of the common marmoset (Callithrix jacchus). Hearing Research. 430. 108722–108722. 3 indexed citations
2.
Egger, Seth W., Evan D. Remington, Chia-Jung Chang, & Mehrdad Jazayeri. (2019). Internal models of sensorimotor integration regulate cortical dynamics. Nature Neuroscience. 22(11). 1871–1882. 42 indexed citations
3.
Narain, Devika, Evan D. Remington, Chris I. De Zeeuw, & Mehrdad Jazayeri. (2018). A cerebellar mechanism for learning prior distributions of time intervals. Nature Communications. 9(1). 469–469. 39 indexed citations
4.
Remington, Evan D., Seth W. Egger, Devika Narain, Jing Wang, & Mehrdad Jazayeri. (2018). A Dynamical Systems Perspective on Flexible Motor Timing. Trends in Cognitive Sciences. 22(10). 938–952. 64 indexed citations
5.
Remington, Evan D., et al.. (2018). Late Bayesian inference in mental transformations. Nature Communications. 9(1). 4419–4419. 10 indexed citations
6.
Remington, Evan D., Devika Narain, Eghbal A. Hosseini, & Mehrdad Jazayeri. (2018). Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics. Neuron. 98(5). 1005–1019.e5. 156 indexed citations
7.
Remington, Evan D. & Xiaoqin Wang. (2018). Neural Representations of the Full Spatial Field in Auditory Cortex of Awake Marmoset (Callithrix jacchus). Cerebral Cortex. 29(3). 1199–1216. 12 indexed citations
8.
Remington, Evan D., Michael S. Osmanski, & Xiaoqin Wang. (2012). An Operant Conditioning Method for Studying Auditory Behaviors in Marmoset Monkeys. PLoS ONE. 7(10). e47895–e47895. 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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