Jordan A. Taylor

5.4k total citations · 1 hit paper
63 papers, 3.0k citations indexed

About

Jordan A. Taylor is a scholar working on Cognitive Neuroscience, Social Psychology and Biomedical Engineering. According to data from OpenAlex, Jordan A. Taylor has authored 63 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Cognitive Neuroscience, 32 papers in Social Psychology and 11 papers in Biomedical Engineering. Recurrent topics in Jordan A. Taylor's work include Motor Control and Adaptation (47 papers), Action Observation and Synchronization (31 papers) and Visual perception and processing mechanisms (11 papers). Jordan A. Taylor is often cited by papers focused on Motor Control and Adaptation (47 papers), Action Observation and Synchronization (31 papers) and Visual perception and processing mechanisms (11 papers). Jordan A. Taylor collaborates with scholars based in United States, Germany and United Kingdom. Jordan A. Taylor's co-authors include Richard B. Ivry, John W. Krakauer, Samuel D. McDougle, Kurt A. Thoroughman, Krista Bond, Darius E. Parvin, Nola Klemfuss, J. Ryan Morehead, Raphael Schween and Mathias Hegele and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jordan A. Taylor

62 papers receiving 2.9k citations

Hit Papers

align trajectories

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.

Explicit and Implicit Contributions to Learning in a Sensorimotor Adaptation Task

2014 478 citations Jordan A. Taylor, John W. Krakauer et al. profile →

Peers

Countries citing papers authored by Jordan A. Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Jordan A. Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan A. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan A. Taylor. A scholar is included among the top collaborators of Jordan A. Taylor 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 Jordan A. Taylor. Jordan A. Taylor 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

#	Work	Indexed citations
1	Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval 2024 ·eLife ·Jonathan S. Tsay, Hyosub E. Kim, Samuel D. McDougle, Jordan A. Taylor, Adrian M. Haith, Guy Avraham, John W. Krakauer, Anne Collins, Richard B. Ivry	10
2	The role of training variability for model-based and model-free learning of an arbitrary visuomotor mapping 2024 ·PLoS Computational Biology ·(unknown), Nathaniel D. Daw, Jordan A. Taylor	3
3	Exploring the role of task success in implicit motor adaptation 2023 ·Journal of Neurophysiology ·(unknown), (unknown), Jordan A. Taylor, (unknown)	2
4	Effects of neonatal fentanyl on late adolescent opioid-mediated behavior 2023 ·Frontiers in Neuroscience ·Cynthia A. Crawford, Jordan A. Taylor, (unknown), (unknown), J. Scott Bunch, (unknown), (unknown), (unknown)	2
5	Continuous manipulation of mental representations is compromised in cerebellar degeneration 2022 ·Brain ·Samuel D. McDougle, (unknown), (unknown), Maedbh King, (unknown), Jordan A. Taylor, Richard B. Ivry	18
6	Contextual effects in sensorimotor adaptation adhere to associative learning rules 2022 ·eLife ·Guy Avraham, Jordan A. Taylor, Assaf Breska, Richard B. Ivry, Samuel D. McDougle	20
7	Implicit Visuomotor Adaptation Remains Limited after Several Days of Training 2021 ·eNeuro ·(unknown), Jordan A. Taylor	22
8	Direct and indirect cues can enable dual adaptation, but through different learning processes 2021 ·Journal of Neurophysiology ·(unknown), Raphael Schween, Jordan A. Taylor, Mathias Hegele, David W. Franklin	21
9	Taking aim at the perceptual side of motor learning: exploring how explicit and implicit learning encode perceptual error information through depth vision 2021 ·Journal of Neurophysiology ·(unknown), Fulvio Domini, Jordan A. Taylor	2
10	Implicit adaptation to mirror reversal is in the correct coordinate system but the wrong direction 2021 ·Journal of Neurophysiology ·(unknown), Jordan A. Taylor	5
11	Assessing explicit strategies in force field adaptation 2020 ·Journal of Neurophysiology ·Raphael Schween, Samuel D. McDougle, Mathias Hegele, Jordan A. Taylor	35
12	Sensorimotor adaptation and cue reweighting compensate for distorted 3D shape information, accounting for paradoxical perception-action dissociations 2020 ·Journal of Neurophysiology ·(unknown), Jordan A. Taylor, Fulvio Domini	3
13	Persistent grasping errors produce depth cue reweighting in perception 2020 ·Vision Research ·(unknown), Jordan A. Taylor, Fulvio Domini	2
14	Generalization via superposition: combined effects of mixed reference frame representations for explicit and implicit learning in a visuomotor adaptation task 2019 ·Journal of Neurophysiology ·(unknown), Jordan A. Taylor	11
15	Relative sensitivity of explicit reaiming and implicit motor adaptation 2018 ·Journal of Neurophysiology ·(unknown), Jordan A. Taylor	24
16	Plan-based generalization shapes local implicit adaptation to opposing visuomotor transformations 2018 ·Journal of Neurophysiology ·Raphael Schween, Jordan A. Taylor, Mathias Hegele	29
17	Can patients with cerebellar disease switch learning mechanisms to reduce their adaptation deficits? 2018 ·Brain ·Aaron L. Wong, Cherie L. Marvel, Jordan A. Taylor, John W. Krakauer	35
18	The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks 2017 ·Journal of Neurophysiology ·(unknown), Richard B. Ivry, Sheng‐Han Kuo, (unknown), John W. Krakauer, Jordan A. Taylor	70
19	Credit assignment in movement-dependent reinforcement learning 2016 ·Proceedings of the National Academy of Sciences ·Samuel D. McDougle, (unknown), Matthew J. Crossley, Darius E. Parvin, Richard B. Ivry, Jordan A. Taylor	51
20	Investigations of human working memory function using multimodal imaging techniques 2000 ·International Journal of Psychophysiology ·Robert E. Clark, Kathryn A. Moores, Aubrey Lewis, Sean P. Fitzgibbon, Rhonda Orr, Darren Weber, Jordan A. Taylor, G. Brown, Gary F. Egan, (unknown), A C McFarlane, Aina Puce	1

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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