Matthew D. Hilchey
- Cognitive Neuroscience top 2%
- Developmental and Educational Psychology top 2%
- Experimental and Cognitive Psychology top 5%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Co-authors
- Raymond M. KleinJason SatelJay PrattZhiguo WangJason IvanoffJason RajsicRamesh Kumar MishraAmelia R. Hunt
- Topics
- Visual perception and processing mechanisms (37 papers)Neural and Behavioral Psychology Studies (37 papers)Neural dynamics and brain function (8 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Matthew D. Hilchey
52 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 1.2k
- Developmental and Educational Psychology 480
- Experimental and Cognitive Psychology 217
- Computer Vision and Pattern Recognition 69
- Social Psychology 64
Countries citing papers authored by Matthew D. Hilchey
This map shows the geographic impact of Matthew D. Hilchey'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 D. Hilchey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Hilchey more than expected).
Fields of papers citing papers by Matthew D. Hilchey
This network shows the impact of papers produced by Matthew D. Hilchey. 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 D. Hilchey. The network helps show where Matthew D. Hilchey may publish in the future.
Co-authorship network of co-authors of Matthew D. Hilchey
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Hilchey. A scholar is included among the top collaborators of Matthew D. Hilchey 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 D. Hilchey. Matthew D. Hilchey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 17 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 67 | |
| 14 | Using a dynamic neural field model to explore a direct collicular inhibition account of inhibition of return | 2 |
| 15 | 22 | |
| 16 | 24 | |
| 17 | 28 | |
| 18 | 28 | |
| 19 | 50 | |
| 20 | 25 |
About Matthew D. Hilchey
Matthew D. Hilchey is a scholar working on Cognitive Neuroscience, General Decision Sciences and Sensory Systems, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (37 papers), Neural and Behavioral Psychology Studies (37 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Developmental and Educational Psychology (480 citations) and Experimental and Cognitive Psychology (217 citations). Matthew D. Hilchey has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Raymond M. Klein, Jason Satel, Jay Pratt, Zhiguo Wang, Jason Ivanoff, Jason Rajsic, Ramesh Kumar Mishra, Amelia R. Hunt, Niharika Singh and John Christie. Their work appears in journals such as Psychological Science, Journal of Cognitive Neuroscience and Experimental Brain Research.
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.