Michael J. Larson

10.6k total citations
161 papers, 7.0k citations indexed

About

Michael J. Larson is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Clinical Psychology. According to data from OpenAlex, Michael J. Larson has authored 161 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Cognitive Neuroscience, 45 papers in Experimental and Cognitive Psychology and 43 papers in Clinical Psychology. Recurrent topics in Michael J. Larson's work include Neural and Behavioral Psychology Studies (69 papers), Traumatic Brain Injury Research (29 papers) and Obsessive-Compulsive Spectrum Disorders (25 papers). Michael J. Larson is often cited by papers focused on Neural and Behavioral Psychology Studies (69 papers), Traumatic Brain Injury Research (29 papers) and Obsessive-Compulsive Spectrum Disorders (25 papers). Michael J. Larson collaborates with scholars based in United States, Germany and Canada. Michael J. Larson's co-authors include Peter E. Clayson, Scott A. Baldwin, Ann Clawson, Eric A. Storch, Tanya K. Murphy, William M. Perlstein, Kaylie A. Carbine, Wayne K. Goodman, Marni L. Jacob and Gary R. Geffken and has published in prestigious journals such as PLoS ONE, NeuroImage and Medicine & Science in Sports & Exercise.

In The Last Decade

Michael J. Larson

156 papers receiving 6.8k 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 J. Larson United States 50 4.2k 2.5k 1.7k 692 638 161 7.0k
Jackie Andrade United Kingdom 37 3.1k 0.7× 1.5k 0.6× 2.0k 1.2× 571 0.8× 502 0.8× 125 6.5k
Adam Hampshire United Kingdom 47 5.0k 1.2× 2.0k 0.8× 1.8k 1.1× 1.7k 2.5× 574 0.9× 203 9.7k
Miguel Pérez-Garcı́a Spain 40 1.7k 0.4× 1.5k 0.6× 1.1k 0.6× 1.3k 1.8× 988 1.5× 231 5.9k
Edith Holsboer‐Trachsler Switzerland 48 1.8k 0.4× 1.8k 0.7× 3.1k 1.8× 1.0k 1.5× 241 0.4× 226 7.4k
Mark K. Greenwald United States 36 3.2k 0.8× 901 0.4× 2.3k 1.3× 586 0.8× 958 1.5× 157 8.5k
Angelo Gemignani Italy 36 2.0k 0.5× 1.4k 0.6× 1.6k 0.9× 633 0.9× 180 0.3× 232 5.8k
Romola S. Bucks Australia 42 2.2k 0.5× 1.1k 0.5× 1.6k 0.9× 1.7k 2.4× 428 0.7× 213 7.0k
Astri J. Lundervold Norway 49 3.1k 0.8× 2.2k 0.9× 1.8k 1.1× 2.4k 3.5× 339 0.5× 210 7.8k
Jonathan J. Evans United Kingdom 52 2.4k 0.6× 1.3k 0.5× 1.7k 0.9× 2.9k 4.2× 2.2k 3.4× 223 8.9k
Peter Watson United Kingdom 43 2.6k 0.6× 1.4k 0.6× 998 0.6× 2.1k 3.0× 763 1.2× 169 7.4k

Countries citing papers authored by Michael J. Larson

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Larson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Larson. A scholar is included among the top collaborators of Michael J. Larson 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 J. Larson. Michael J. Larson 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.
Clayson, Peter E., et al.. (2024). A registered report of a two‐site study of variations of the flanker task: ERN experimental effects and data quality. Psychophysiology. 61(9). e14607–e14607. 8 indexed citations
2.
Walton, Samuel R., Jessie R. Oldham, Erica Beidler, et al.. (2024). Influence of sleep symptoms on recovery from concussion in collegiate athletes: a LIMBIC MATARS consortium investigation. Brain Injury. 1–7.
3.
Clayson, Peter E., Scott A. Baldwin, & Michael J. Larson. (2024). Stability of performance monitoring with prolonged task performance: A study of error‐related negativity and error positivity. Psychophysiology. 62(2). e14731–e14731. 2 indexed citations
5.
Baldwin, Scott A., et al.. (2024). A Systematic Review of the Relationship Between Traumatic Brain Injury and Disruptions in Heart Rate Variability. Applied Psychophysiology and Biofeedback. 49(4). 523–540. 2 indexed citations
6.
Carbine, Kaylie A., et al.. (2023). Age-related differences in food-specific inhibitory control: Electrophysiological and behavioral evidence in healthy aging. Appetite. 183. 106478–106478. 3 indexed citations
7.
Clark, Brad, Nathan N. Alder, Ann Clawson, et al.. (2023). Interhemispheric transfer time and concussion in adolescents: A longitudinal study using response time and event-related potential measures. Frontiers in Human Neuroscience. 17. 1161156–1161156.
8.
Clayson, Peter E., et al.. (2023). Normal congruency sequence effects in psychopathology: A behavioral and electrophysiological examination using a confound‐minimized design. Psychophysiology. 61(1). e14426–e14426. 8 indexed citations
10.
Clayson, Peter E., Scott A. Baldwin, & Michael J. Larson. (2021). Evaluating the internal consistency of subtraction‐based and residualized difference scores: Considerations for psychometric reliability analyses of event‐related potentials. Psychophysiology. 58(4). e13762–e13762. 51 indexed citations
12.
Frost, Ram, Ramona O. Hopkins, Erin D. Bigler, et al.. (2020). Day-of-Injury Computed Tomography and Longitudinal Rehabilitation Outcomes. American Journal of Physical Medicine & Rehabilitation. 99(9). 821–829. 10 indexed citations
13.
Carbine, Kaylie A., Michael J. Larson, Larry A. Tucker, et al.. (2020). To play or not to play? The relationship between active video game play and electrophysiological indices of food‐related inhibitory control in adolescents. European Journal of Neuroscience. 53(3). 876–894. 4 indexed citations
14.
Clayson, Peter E., Kaylie A. Carbine, Scott A. Baldwin, & Michael J. Larson. (2019). Methodological reporting behavior, sample sizes, and statistical power in studies of event‐related potentials: Barriers to reproducibility and replicability. Psychophysiology. 56(11). e13437–e13437. 106 indexed citations
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Majercik, Sarah, Joseph Bledsoe, David K. Ryser, et al.. (2016). Volumetric analysis of day of injury computed tomography is associated with rehabilitation outcomes after traumatic brain injury. The Journal of Trauma: Injury, Infection, and Critical Care. 82(1). 80–92. 10 indexed citations
18.
Holt‐Lunstad, Julianne, et al.. (2014). How do memory and attention change with pregnancy and childbirth? A controlled longitudinal examination of neuropsychological functioning in pregnant and postpartum women. Journal of Clinical and Experimental Neuropsychology. 36(5). 528–539. 50 indexed citations
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Flores, Mona G., Bari Holm, Michael J. Larson, et al.. (2004). A technique of bone marrow collection from vertebral bodies of cynomolgus macaques for transplant studies. Journal of Surgical Research. 124(2). 280–288. 1 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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