Michael A. Motes

2.7k total citations
57 papers, 1.9k citations indexed

About

Michael A. Motes is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Automotive Engineering. According to data from OpenAlex, Michael A. Motes has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cognitive Neuroscience, 21 papers in Experimental and Cognitive Psychology and 10 papers in Automotive Engineering. Recurrent topics in Michael A. Motes's work include Neural and Behavioral Psychology Studies (18 papers), Functional Brain Connectivity Studies (14 papers) and Spatial Cognition and Navigation (10 papers). Michael A. Motes is often cited by papers focused on Neural and Behavioral Psychology Studies (18 papers), Functional Brain Connectivity Studies (14 papers) and Spatial Cognition and Navigation (10 papers). Michael A. Motes collaborates with scholars based in United States, Ireland and Netherlands. Michael A. Motes's co-authors include María Kozhevnikov, Bart Rypma, Mary Hegarty, Bharat B. Biswal, Sridhar S. Kannurpatti, John Hart, Björn Rasch, Michael A. Kraut, Jeffrey S. Spence and Timothy L. Hubbard and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Michael A. Motes

53 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Motes United States 24 869 466 462 240 208 57 1.9k
Maddalena Boccia Italy 26 1.3k 1.5× 520 1.1× 645 1.4× 382 1.6× 417 2.0× 124 2.4k
Liana Palermo Italy 26 951 1.1× 734 1.6× 480 1.0× 426 1.8× 314 1.5× 83 2.1k
Marko Nardini United Kingdom 28 1.1k 1.3× 473 1.0× 610 1.3× 425 1.8× 68 0.3× 110 2.3k
Katherine Woollett United Kingdom 9 635 0.7× 186 0.4× 179 0.4× 127 0.5× 108 0.5× 9 1.0k
Bernard N’Kaoua France 23 1.0k 1.2× 302 0.6× 209 0.5× 277 1.2× 293 1.4× 83 1.7k
Gregory J. DiGirolamo United States 16 1.6k 1.9× 480 1.0× 474 1.0× 493 2.1× 207 1.0× 34 2.4k
Antoine Coutrot France 16 385 0.4× 348 0.7× 280 0.6× 99 0.4× 106 0.5× 52 1.1k
Francesca Morganti Italy 17 592 0.7× 229 0.5× 263 0.6× 156 0.7× 255 1.2× 59 1.7k
James R. Brockmole United States 34 2.4k 2.8× 265 0.6× 710 1.5× 364 1.5× 163 0.8× 88 3.2k
Michel‐Ange Amorim France 22 1.1k 1.2× 462 1.0× 280 0.6× 433 1.8× 91 0.4× 57 1.9k

Countries citing papers authored by Michael A. Motes

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Motes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael A. Motes

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Motes. A scholar is included among the top collaborators of Michael A. Motes 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 Michael A. Motes. Michael A. Motes 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.
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Tillman, Gail D., et al.. (2023). P3a amplitude to trauma-related stimuli reduced after successful trauma-focused PTSD treatment. Biological Psychology. 182. 108648–108648. 4 indexed citations
3.
Schaffert, Jeff, Nyaz Didehbani, Christian LoBue, et al.. (2022). Neurocognitive outcomes of older National Football League retirees. Brain Injury. 36(12-14). 1364–1371. 10 indexed citations
4.
Chiang, Hsueh‐Sheng, et al.. (2021). Baseline delayed verbal recall predicts response to high definition transcranial direct current stimulation targeting the superior medial frontal cortex. Neuroscience Letters. 764. 136204–136204. 3 indexed citations
5.
Motes, Michael A., Jeffrey S. Spence, Wing Ting To, et al.. (2019). High-Definition Transcranial Direct Current Stimulation to Improve Verbal Retrieval Deficits in Chronic Traumatic Brain Injury. Journal of Neurotrauma. 37(1). 170–177. 26 indexed citations
6.
Motes, Michael A., Jeffrey S. Spence, Matthew R. Brier, et al.. (2018). Conjoint differences in inhibitory control and processing speed in childhood to older adult cohorts: Discriminant functions from a Go/No-Go task.. Psychology and Aging. 33(7). 1070–1078. 4 indexed citations
7.
Chiang, Hsueh‐Sheng, Jeffrey S. Spence, Michael A. Motes, et al.. (2016). Common and differential electrophysiological mechanisms underlying semantic object memory retrieval probed by features presented in different stimulus types. International Journal of Psychophysiology. 106. 77–86. 8 indexed citations
8.
Kannurpatti, Sridhar S., Michael A. Motes, Bharat B. Biswal, & Bart Rypma. (2014). Assessment of Unconstrained Cerebrovascular Reactivity Marker for Large Age-Range fMRI Studies. PLoS ONE. 9(2). e88751–e88751. 35 indexed citations
9.
Spence, Jeffrey S., et al.. (2014). Electrophysiological spatiotemporal dynamics during implicit visual threat processing. Brain and Cognition. 91. 54–61. 25 indexed citations
10.
Shad, Mujeeb U., Matcheri S. Keshavan, Joel L. Steinberg, et al.. (2012). Neurobiology of self-awareness in schizophrenia: An fMRI study. Schizophrenia Research. 138(2-3). 113–119. 43 indexed citations
11.
Shokri‐Kojori, Ehsan, Michael A. Motes, Bart Rypma, & Daniel C. Krawczyk. (2012). The Network Architecture of Cortical Processing in Visuo-spatial Reasoning. Scientific Reports. 2(1). 411–411. 29 indexed citations
12.
Kannurpatti, Sridhar S., Michael A. Motes, Bart Rypma, & Bharat B. Biswal. (2010). Non-neural BOLD variability in block and event-related paradigms. Magnetic Resonance Imaging. 29(1). 140–146. 16 indexed citations
13.
Biswal, Bharat B., Dana Eldreth, Michael A. Motes, & Bart Rypma. (2010). Task-Dependent Individual Differences in Prefrontal Connectivity. Cerebral Cortex. 20(9). 2188–2197. 42 indexed citations
14.
Kannurpatti, Sridhar S., Michael A. Motes, Bart Rypma, & Bharat B. Biswal. (2010). Neural and vascular variability and the fMRI-BOLD response in normal aging. Magnetic Resonance Imaging. 28(4). 466–476. 90 indexed citations
15.
Motes, Michael A., Bharat B. Biswal, & Bart Rypma. (2010). Age-dependent relationships between prefrontal cortex activation and processing efficiency. Cognitive Neuroscience. 2(1). 1–10. 36 indexed citations
16.
Motes, Michael A., Rafael Malach, & María Kozhevnikov. (2008). Object-processing neural efficiency differentiates object from spatial visualizers. Neuroreport. 19(17). 1727–1731. 44 indexed citations
17.
Kozhevnikov, María, Michael A. Motes, & Mary Hegarty. (2007). Spatial Visualization in Physics Problem Solving. Cognitive Science. 31(4). 549–579. 239 indexed citations
18.
Gurlitt, Johannes, et al.. (2006). How can we use concept maps for prior knowledge activation: different mapping-tasks lead to different cognitive processes. International Conference of Learning Sciences. 40(2). 217–221. 5 indexed citations
19.
Hubbard, Timothy L. & Michael A. Motes. (2002). Does representational momentum reflect a distortion of the length or the endpoint of a trajectory?. Cognition. 82(3). B89–B99. 27 indexed citations
20.
Motes, Michael A., et al.. (2001). Spontaneous Gender-Stereotypical Categorization of Trait Labels and Job Labels. Digital Commons - Trinity University (Trinity University). 6(6). 77–90. 2 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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