Jonathan W. Peirce
- Cognitive Neuroscience top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Social Psychology top 0.5%
- Developmental and Educational Psychology top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Michael R. MacAskillErik K. KastmanRichard HöchenbergerHiroyuki SogoJonas Kristoffer LindeløvKeith M. KendrickSamuel G. SolomonPeter Lennie
- Topics
- Visual perception and processing mechanisms (31 papers)Neural dynamics and brain function (25 papers)Face Recognition and Perception (9 papers)
- Journals
- NatureNeuronJournal of Neuroscience
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
Jonathan W. Peirce
42 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Cognitive Neuroscience 6.1k
- Experimental and Cognitive Psychology 2.2k
- Social Psychology 1.5k
- Developmental and Educational Psychology 1.2k
- Cellular and Molecular Neuroscience 517
Countries citing papers authored by Jonathan W. Peirce
This map shows the geographic impact of Jonathan W. Peirce'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 Jonathan W. Peirce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan W. Peirce more than expected).
Fields of papers citing papers by Jonathan W. Peirce
This network shows the impact of papers produced by Jonathan W. Peirce. 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 Jonathan W. Peirce. The network helps show where Jonathan W. Peirce may publish in the future.
Co-authorship network of co-authors of Jonathan W. Peirce
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan W. Peirce. A scholar is included among the top collaborators of Jonathan W. Peirce 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 Jonathan W. Peirce. Jonathan W. Peirce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The timing mega-study: comparing a range of experiment generators, both lab-based and onlinebreakdown → | 304 |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 15 | |
| 7 | 23 | |
| 8 | 7 | |
| 9 | 34 | |
| 10 | 13 | |
| 11 | 61 | |
| 12 | 35 | |
| 13 | 19 | |
| 14 | 230 | |
| 15 | 87 | |
| 16 | 31 | |
| 17 | 22 | |
| 18 | 16 | |
| 19 | 12 | |
| 20 | 212 |
About Jonathan W. Peirce
Jonathan W. Peirce is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 8.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (31 papers), Neural dynamics and brain function (25 papers) and Face Recognition and Perception (9 papers). The work is most often cited by research in Cognitive Neuroscience (6.1k citations), Experimental and Cognitive Psychology (2.2k citations) and General Decision Sciences (209 citations). Jonathan W. Peirce has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Michael R. MacAskill, Erik K. Kastman, Richard Höchenberger, Hiroyuki Sogo, Jonas Kristoffer Lindeløv, Keith M. Kendrick, Samuel G. Solomon, Peter Lennie, Andrea E. Leigh and David Bridges. Their work appears in journals such as Nature, Neuron and Journal of Neuroscience.
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.