Matthew X. Lowe

431 total citations
22 papers, 247 citations indexed

About

Matthew X. Lowe is a scholar working on Cognitive Neuroscience, Clinical Psychology and Organic Chemistry. According to data from OpenAlex, Matthew X. Lowe has authored 22 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Clinical Psychology and 6 papers in Organic Chemistry. Recurrent topics in Matthew X. Lowe's work include Visual perception and processing mechanisms (10 papers), Psychedelics and Drug Studies (7 papers) and Face Recognition and Perception (6 papers). Matthew X. Lowe is often cited by papers focused on Visual perception and processing mechanisms (10 papers), Psychedelics and Drug Studies (7 papers) and Face Recognition and Perception (6 papers). Matthew X. Lowe collaborates with scholars based in Canada, United States and United Kingdom. Matthew X. Lowe's co-authors include Susanne Ferber, Jonathan S. Cant, Jason Rajsic, Jason P. Gallivan, Dirk B. Walther, Kristin Wilson, Nathan D. Sepeda, Sandeep M. Nayak, Albert Garcia‐Romeu and Jay Pratt and has published in prestigious journals such as NeuroImage, Neuropsychologia and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Matthew X. Lowe

20 papers receiving 244 citations

Peers

Matthew X. Lowe
Andrew Skalkin United States
Luisa Prochazkova Netherlands
Carolyn McNabb United Kingdom
Katja Umla‐Runge United Kingdom
Susan Magsamen United States
Tim Mantingh United Kingdom
Stephen A. Kichuk United States
Andrew Skalkin United States
Matthew X. Lowe
Citations per year, relative to Matthew X. Lowe Matthew X. Lowe (= 1×) peers Andrew Skalkin

Countries citing papers authored by Matthew X. Lowe

Since Specialization
Citations

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

Fields of papers citing papers by Matthew X. Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew X. Lowe. 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 Matthew X. Lowe. The network helps show where Matthew X. Lowe may publish in the future.

Co-authorship network of co-authors of Matthew X. Lowe

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew X. Lowe. A scholar is included among the top collaborators of Matthew X. Lowe 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 Matthew X. Lowe. Matthew X. Lowe 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.
Mathai, David S., Sandeep M. Nayak, Nathan D. Sepeda, et al.. (2025). Shame, Guilt and Psychedelic Experience: Results from a Prospective, Longitudinal Survey of Real-World Psilocybin Use. Journal of Psychoactive Drugs. 1–12. 3 indexed citations
2.
Nutt, David, David Erritzøe, Anne Katrin Schlag, et al.. (2025). A lexicon for psychedelic research and treatment. Greenwich Academic Literature Archive (University of Greenwich). 11. 1 indexed citations
4.
Lowe, Matthew X., et al.. (2024). Long-term benefits to psychological health and well-being after ceremonial use of Ayahuasca in Middle Eastern and North African immigrants and refugees. Frontiers in Psychiatry. 15. 1279887–1279887. 2 indexed citations
5.
Nayak, Sandeep M., et al.. (2024). Psychedelic Experiences Increase Mind Perception but do not Change Atheist-Believer Status: A Prospective Longitudinal Study. Journal of Psychoactive Drugs. 57(3). 275–284. 5 indexed citations
6.
Lowe, Matthew X., Sandeep M. Nayak, Nathan D. Sepeda, et al.. (2024). Examining differences in the effects and contexts of naturalistic psilocybin use for White participants vs. Participants of Color: A longitudinal online survey study. Journal of Affective Disorders. 370. 54–61. 4 indexed citations
7.
Nayak, Sandeep M., Nathan D. Sepeda, David S. Mathai, et al.. (2023). Naturalistic psilocybin use is associated with persisting improvements in mental health and wellbeing: results from a prospective, longitudinal survey. Frontiers in Psychiatry. 14. 1199642–1199642. 45 indexed citations
8.
Lowe, Matthew X., et al.. (2021). Cochlea to categories: The spatiotemporal dynamics of semantic auditory representations. Cognitive Neuropsychology. 38(7-8). 468–489. 7 indexed citations
9.
Harel, Assaf, et al.. (2020). Artificially-generated scenes demonstrate the importance of global scene properties for scene perception. Neuropsychologia. 141. 107434–107434. 9 indexed citations
10.
Lowe, Matthew X., Jason Rajsic, Susanne Ferber, & Dirk B. Walther. (2018). Discriminating scene categories from brain activity within 100 milliseconds. Cortex. 106. 275–287. 24 indexed citations
11.
Lowe, Matthew X., Ryan A. Stevenson, Morgan D. Barense, Jonathan S. Cant, & Susanne Ferber. (2018). Relating the perception of visual ensemble statistics to individual levels of autistic traits. Attention Perception & Psychophysics. 80(7). 1667–1674. 13 indexed citations
12.
Lowe, Matthew X., Santani Teng, Yalda Mohsenzadeh, et al.. (2018). Temporal dynamics underlying sound discrimination in the human brain. 1 indexed citations
13.
Lowe, Matthew X., Jason Rajsic, Jason P. Gallivan, Susanne Ferber, & Jonathan S. Cant. (2017). Neural representation of geometry and surface properties in object and scene perception. NeuroImage. 157. 586–597. 27 indexed citations
14.
Robin, Jessica, et al.. (2017). Selective scene perception deficits in a case of topographical disorientation. Cortex. 92. 70–80. 8 indexed citations
15.
Lowe, Matthew X., et al.. (2017). Artificially-generated scenes demonstrate the importance of global scene properties for scene perception. Journal of Vision. 17(10). 312–312. 1 indexed citations
16.
Lowe, Matthew X., Ryan A. Stevenson, Kristin Wilson, et al.. (2015). Sensory processing patterns predict the integration of information held in visual working memory.. Journal of Experimental Psychology Human Perception & Performance. 42(2). 294–301. 9 indexed citations
17.
Lowe, Matthew X., Susanne Ferber, & Jonathan S. Cant. (2015). Processing context: Asymmetric interference of visual form and texture in object and scene interactions. Vision Research. 117. 34–40. 5 indexed citations
18.
Wilson, Kristin, et al.. (2015). The scope of no return: Openness predicts the spatial distribution of Inhibition of Return. Attention Perception & Psychophysics. 78(1). 209–217. 18 indexed citations
19.
Lowe, Matthew X., Jason P. Gallivan, Susanne Ferber, & Jonathan S. Cant. (2015). Feature diagnosticity and task context shape activity in human scene-selective cortex. NeuroImage. 125. 681–692. 24 indexed citations
20.
Algorta, Guillermo Pérez, L. Eugene Arnold, Brooke S. G. Molina, et al.. (2014). Maternal ADHD Symptoms, Personality, and Parenting Stress: Differences Between Mothers of Children With ADHD and Mothers of Comparison Children. Journal of Attention Disorders. 22(13). 1266–1277. 40 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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