Michael Snodgrass

1.2k total citations
33 papers, 513 citations indexed

About

Michael Snodgrass is a scholar working on Cognitive Neuroscience, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael Snodgrass has authored 33 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 5 papers in Sociology and Political Science and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael Snodgrass's work include Neural and Behavioral Psychology Studies (6 papers), Neural dynamics and brain function (3 papers) and Decision-Making and Behavioral Economics (3 papers). Michael Snodgrass is often cited by papers focused on Neural and Behavioral Psychology Studies (6 papers), Neural dynamics and brain function (3 papers) and Decision-Making and Behavioral Economics (3 papers). Michael Snodgrass collaborates with scholars based in United States, Malta and Canada. Michael Snodgrass's co-authors include Howard Shevrin, Edward M. Bernat, Linda A. W. Brakel, Ramesh Kumar Kushwaha, Steven Jay Lynn, Brian H. Silverstein, Judith W. Rhue, E. Samuel Winer, Ariane Bazan and Leonard S. Newman and has published in prestigious journals such as Journal of Personality and Social Psychology, SHILAP Revista de lepidopterología and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Michael Snodgrass

31 papers receiving 468 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 Snodgrass United States 13 348 91 80 79 36 33 513
William James United States 9 164 0.5× 115 1.3× 55 0.7× 158 2.0× 18 0.5× 13 442
George Berger Netherlands 5 292 0.8× 113 1.2× 54 0.7× 108 1.4× 24 0.7× 8 533
Frances Anderson United States 4 235 0.7× 142 1.6× 74 0.9× 284 3.6× 15 0.4× 12 542
Robert G. Kunzendorf United States 12 318 0.9× 181 2.0× 95 1.2× 137 1.7× 46 1.3× 72 512
Harry T. Hunt Canada 15 361 1.0× 252 2.8× 109 1.4× 230 2.9× 23 0.6× 50 685
Huib Looren de Jong Netherlands 12 348 1.0× 108 1.2× 17 0.2× 99 1.3× 32 0.9× 32 501
Jean-Michel Roy France 7 222 0.6× 158 1.7× 38 0.5× 137 1.7× 13 0.4× 18 497
Güven Güzeldere United States 9 248 0.7× 127 1.4× 24 0.3× 69 0.9× 15 0.4× 19 389
Fred Schwartz United States 10 153 0.4× 85 0.9× 90 1.1× 36 0.5× 15 0.4× 32 343
George Windholz United States 10 62 0.2× 28 0.3× 73 0.9× 110 1.4× 48 1.3× 54 318

Countries citing papers authored by Michael Snodgrass

Since Specialization
Citations

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

Fields of papers citing papers by Michael Snodgrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Snodgrass

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Snodgrass. A scholar is included among the top collaborators of Michael Snodgrass 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 Snodgrass. Michael Snodgrass 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.
Farah, Wael, Sofia Z. Sheikh, Andrew Siemion, et al.. (2023). Hycean Exoplanets as Targets for Technosignature Detection: A Case Study of K2-18 b in the 3–10 GHz Band. Research Notes of the AAS. 7(11). 233–233.
2.
Sheikh, Sofia Z., Wael Farah, Andrew Siemion, et al.. (2023). Characterization of the repeating FRB 20220912A with the Allen Telescope Array. Monthly Notices of the Royal Astronomical Society. 527(4). 10425–10439. 8 indexed citations
3.
Snodgrass, Michael. (2022). Deportation, Diplomacy, and Defiance: New Research on Mexican Migration. Latin American Research Review. 58(2). 465–476. 1 indexed citations
4.
Mayer, Stefanie E., et al.. (2017). The psychology of HPA axis activation: Examining subjective emotional distress and control in a phobic fear exposure model. Psychoneuroendocrinology. 82. 189–198. 17 indexed citations
5.
Silverstein, Brian H., Michael Snodgrass, Howard Shevrin, & Ramesh Kumar Kushwaha. (2015). P3b, consciousness, and complex unconscious processing. Cortex. 73. 216–227. 62 indexed citations
6.
Shevrin, Howard, et al.. (2013). Subliminal unconscious conflict alpha power inhibits supraliminal conscious symptom experience. Frontiers in Human Neuroscience. 7. 544–544. 12 indexed citations
7.
Winer, E. Samuel & Michael Snodgrass. (2013). Signal Detection Theory. Oxford University Press eBooks. 4 indexed citations
8.
Shevrin, Howard, Jaak Panksepp, Linda A. W. Brakel, & Michael Snodgrass. (2012). Subliminal Affect Valence Words Change Conscious Mood Potency but Not Valence: Is This Evidence for Unconscious Valence Affect?. SHILAP Revista de lepidopterología. 2(4). 504–522. 10 indexed citations
9.
Winer, E. Samuel, Daniel Cervone, Leonard S. Newman, & Michael Snodgrass. (2011). Subchance perception: Anxious, non-defensive individuals identify subliminally-presented positive words at below-chance levels. Personality and Individual Differences. 51(8). 996–1001. 12 indexed citations
10.
Snodgrass, Michael. (2007). “New Rules for the Unions”: Mexico's Steelworkers Confront Privatization and the Neoliberal Challenge. Labor Studies in Working-Class History of the Americas. 4(3). 81–103. 2 indexed citations
11.
Shevrin, Howard, et al.. (2006). Response to commentaries. Neuropsychoanalysis. 8(2). 155–166. 1 indexed citations
12.
Aviyente, Selin, Linda A. W. Brakel, Ramesh Kumar Kushwaha, et al.. (2004). Characterization of Event Related Potentials Using Information Theoretic Distance Measures. IEEE Transactions on Biomedical Engineering. 51(5). 737–743. 18 indexed citations
14.
Bernat, Edward M., Howard Shevrin, & Michael Snodgrass. (2001). Subliminal visual oddball stimuli evoke a P300 component. Clinical Neurophysiology. 112(1). 159–171. 69 indexed citations
15.
Snodgrass, Michael. (1998). The Birth and Consequences of Industrial Paternalism in Monterrey, Mexico, 1890–1940. International Labor and Working-Class History. 53. 115–136. 5 indexed citations
16.
Snodgrass, Michael, et al.. (1993). Absolute Inhibition Is Incompatible with Conscious Perception. Consciousness and Cognition. 2(3). 204–209. 10 indexed citations
17.
Snodgrass, Michael & Steven Jay Lynn. (1989). Music absorption and hypnotizability. International Journal of Clinical and Experimental Hypnosis. 37(1). 41–54. 20 indexed citations
18.
Lynn, Steven Jay, et al.. (1987). Goal-directed fantasy, hypnotic susceptibility, and expectancies.. Journal of Personality and Social Psychology. 53(5). 933–938. 14 indexed citations
19.
Lynn, Steven Jay, et al.. (1987). Attributions, Involuntariness, and Hypnotic Rapport. American Journal of Clinical Hypnosis. 30(1). 36–43. 16 indexed citations
20.
Lynn, Steven Jay, et al.. (1987). Goal-directed fantasy, hypnotic susceptibility, and expectancies.. Journal of Personality and Social Psychology. 53(5). 933–938. 10 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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