Michael Pitts

3.3k total citations
41 papers, 1.8k citations indexed

About

Michael Pitts is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Michael Pitts has authored 41 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 2 papers in Molecular Biology. Recurrent topics in Michael Pitts's work include Visual perception and processing mechanisms (22 papers), Neural dynamics and brain function (21 papers) and Neural and Behavioral Psychology Studies (21 papers). Michael Pitts is often cited by papers focused on Visual perception and processing mechanisms (22 papers), Neural dynamics and brain function (21 papers) and Neural and Behavioral Psychology Studies (21 papers). Michael Pitts collaborates with scholars based in United States, Germany and Israel. Michael Pitts's co-authors include Steven A. Hillyard, Antı́gona Martı́nez, Juliane Britz, Christof Koch, Howard White, Stephen Krashen, Michael A. Cohen, Janice L. Nerger, Lucía Melloni and Liad Mudrik and has published in prestigious journals such as Science, Journal of Neuroscience and Nature reviews. Neuroscience.

In The Last Decade

Michael Pitts

39 papers receiving 1.7k 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 Pitts United States 24 1.5k 223 168 145 106 41 1.8k
Jochen Laubrock Germany 19 979 0.6× 262 1.2× 471 2.8× 100 0.7× 22 0.2× 44 1.3k
Chad J. Marsolek United States 22 1.7k 1.1× 508 2.3× 535 3.2× 282 1.9× 49 0.5× 53 2.0k
Barry Devereux United Kingdom 17 914 0.6× 198 0.9× 274 1.6× 191 1.3× 26 0.2× 51 1.2k
Ethel Matin United States 13 1.2k 0.8× 347 1.6× 235 1.4× 145 1.0× 40 0.4× 24 1.5k
Christian Forkstam Netherlands 15 739 0.5× 138 0.6× 415 2.5× 94 0.6× 47 0.4× 22 967
Billi Randall United Kingdom 20 1.4k 0.9× 286 1.3× 776 4.6× 177 1.2× 64 0.6× 25 1.6k
Anne Keitel United Kingdom 14 797 0.5× 266 1.2× 143 0.9× 107 0.7× 40 0.4× 24 985
Douglas Saddy United Kingdom 15 904 0.6× 176 0.8× 530 3.2× 71 0.5× 138 1.3× 46 1.1k
Nina Kazanina United Kingdom 20 1.0k 0.7× 369 1.7× 543 3.2× 46 0.3× 222 2.1× 45 1.3k
Andrew C. Connolly United States 15 1.9k 1.3× 361 1.6× 218 1.3× 375 2.6× 18 0.2× 24 2.2k

Countries citing papers authored by Michael Pitts

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pitts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pitts

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pitts. A scholar is included among the top collaborators of Michael Pitts 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 Pitts. Michael Pitts 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.
Jack, Bradley N., et al.. (2024). No electrophysiological evidence for semantic processing during inattentional blindness. NeuroImage. 299. 120799–120799.
2.
Glass, James, et al.. (2024). Isolating neural signatures of conscious speech perception with a no-report sine-wave speech paradigm. Journal of Neuroscience. 44(8). e0145232023–e0145232023. 5 indexed citations
3.
Melloni, Lucía, et al.. (2022). The ConTraSt database for analysing and comparing empirical studies of consciousness theories. Nature Human Behaviour. 6(4). 593–604. 61 indexed citations
4.
Murty, N. Apurva Ratan, et al.. (2022). Decoding perceptual awareness across the brain with a no-report fMRI masking paradigm. Current Biology. 32(19). 4139–4149.e4. 30 indexed citations
5.
Pitts, Michael, et al.. (2020). Differential Effects of Awareness and Task Relevance on Early and Late ERPs in a No-Report Visual Oddball Paradigm. Journal of Neuroscience. 40(14). 2906–2913. 48 indexed citations
6.
Cohen, Michael A., et al.. (2020). Distinguishing the Neural Correlates of Perceptual Awareness and Postperceptual Processing. Journal of Neuroscience. 40(25). 4925–4935. 88 indexed citations
7.
Canseco-Gonzalez, Enriqueta, et al.. (2017). ERP signatures of conscious and unconscious word and letter perception in an inattentional blindness paradigm. Consciousness and Cognition. 54. 56–71. 35 indexed citations
8.
Snyder, Joel S., et al.. (2015). Testing domain-general theories of perceptual awareness with auditory brain responses. Trends in Cognitive Sciences. 19(6). 295–297. 28 indexed citations
9.
Pitts, Michael, et al.. (2015). Neural Signatures of Conscious Face Perception in an Inattentional Blindness Paradigm. Journal of Neuroscience. 35(31). 10940–10948. 89 indexed citations
10.
Pitts, Michael, et al.. (2014). Isolating neural correlates of conscious perception from neural correlates of reporting one's perception. Frontiers in Psychology. 5. 1078–1078. 145 indexed citations
11.
Pitts, Michael, et al.. (2014). Auditory event-related potentials associated with perceptual reversals of bistable pitch motion. Frontiers in Human Neuroscience. 8. 572–572. 13 indexed citations
12.
Pitts, Michael, et al.. (2014). Gamma band activity and the P3 reflect post-perceptual processes, not visual awareness. NeuroImage. 101. 337–350. 160 indexed citations
13.
Feng, Wenfeng, Antı́gona Martı́nez, Michael Pitts, Yuejia Luo, & Steven A. Hillyard. (2012). Spatial attention modulates early face processing. Neuropsychologia. 50(14). 3461–3468. 19 indexed citations
14.
Britz, Juliane & Michael Pitts. (2011). Perceptual reversals during binocular rivalry: ERP components and their concomitant source differences. Psychophysiology. 48(11). 1490–1499. 27 indexed citations
15.
Britz, Juliane, Michael Pitts, & Christoph M. Michel. (2010). Right parietal brain activity precedes perceptual alternation during binocular rivalry. Human Brain Mapping. 32(9). 1432–1442. 65 indexed citations
16.
Pitts, Michael, Antı́gona Martı́nez, & S. A. Hillyard. (2010). When and where is binocular rivalry resolved in the visual cortex?. Journal of Vision. 10(14). 25–25. 29 indexed citations
17.
Pitts, Michael, et al.. (2009). Neural generators of ERPs linked with Necker cube reversals. Psychophysiology. 46(4). 694–702. 35 indexed citations
18.
Pitts, Michael, Janice L. Nerger, & Trevor J. Davis. (2007). Electrophysiological correlates of perceptual reversals for three different types of multistable images. Journal of Vision. 7(1). 6–6. 51 indexed citations
19.
Pitts, Michael, William J. Gavin, & Janice L. Nerger. (2007). Early top-down influences on bistable perception revealed by event-related potentials. Brain and Cognition. 67(1). 11–24. 46 indexed citations
20.
Pitts, Michael, Lucy J. Troup, Vicki J. Volbrecht, & Janice L. Nerger. (2005). Chromatic perceptive field sizes change with retinal illuminance. Journal of Vision. 5(5). 4–4. 13 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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