Matthew X. Lowe
- Cognitive Neuroscience top 10%
- Clinical Psychology
- Computer Vision and Pattern Recognition
- Organic Chemistry
- Experimental and Cognitive Psychology
- Co-authors
- Susanne FerberJonathan S. CantJason RajsicJason P. GallivanDirk B. WaltherKristin WilsonNathan D. SepedaSandeep M. Nayak
- Topics
- Visual perception and processing mechanisms (10 papers)Psychedelics and Drug Studies (7 papers)Face Recognition and Perception (6 papers)
- Journals
- NeuroImageNeuropsychologiaJournal of Experimental Psychology Human Perception & Performance
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Matthew X. Lowe
20 papers receiving 244 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 142
- Clinical Psychology 98
- Computer Vision and Pattern Recognition 39
- Organic Chemistry 38
- Experimental and Cognitive Psychology 38
Countries citing papers authored by Matthew X. Lowe
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 45 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 27 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 24 | |
| 20 | 40 |
About Matthew X. Lowe
Matthew X. Lowe is a scholar working on Cognitive Neuroscience, Developmental Biology and Clinical Psychology, having authored 22 papers that have together received 247 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (10 papers), Psychedelics and Drug Studies (7 papers) and Face Recognition and Perception (6 papers). The work is most often cited by research in Cognitive Neuroscience (142 citations), Clinical Psychology (98 citations) and Experimental and Cognitive Psychology (38 citations). Matthew X. Lowe has collaborated with scholars based in Canada, United States and United Kingdom. Frequent 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. Their work appears in journals such as NeuroImage, Neuropsychologia and Journal of Experimental Psychology Human Perception & Performance.
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.