Paul J. Reber
- Cognitive Neuroscience top 0.5%
- Developmental and Educational Psychology top 0.5%
- Experimental and Cognitive Psychology top 1%
- Social Psychology top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Larry R. SquireKen A. PallerTodd B. ParrishDarren R. GitelmanM.‐Marsel MesulamCraig E.L. StarkMark BeemanLaura Batterink
- Topics
- Memory and Neural Mechanisms (29 papers)Memory Processes and Influences (19 papers)Child and Animal Learning Development (17 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Paul J. Reber
70 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 3.9k
- Developmental and Educational Psychology 1.2k
- Experimental and Cognitive Psychology 1.2k
- Social Psychology 743
- Cellular and Molecular Neuroscience 436
Countries citing papers authored by Paul J. Reber
This map shows the geographic impact of Paul J. Reber'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 Paul J. Reber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Reber more than expected).
Fields of papers citing papers by Paul J. Reber
This network shows the impact of papers produced by Paul J. Reber. 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 Paul J. Reber. The network helps show where Paul J. Reber may publish in the future.
Co-authorship network of co-authors of Paul J. Reber
This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Reber. A scholar is included among the top collaborators of Paul J. Reber 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 Paul J. Reber. Paul J. Reber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 55 | |
| 8 | 184 | |
| 9 | Neuroscience meets cryptography: designing crypto primitives secure against rubber hose attacks | 30 |
| 10 | 39 | |
| 11 | 33 | |
| 12 | Mathematical Models of Visual Category Learning Enhance fMRI Data Analysis | 5 |
| 13 | 33 | |
| 14 | Cognitive Neuroscience: What does it tell us about high-order cognition? | 0 |
| 15 | 23 | |
| 16 | Neural Activity When People Solve Verbal Problems with Insightbreakdown → | 677 |
| 17 | 83 | |
| 18 | 18 | |
| 19 | 12 | |
| 20 | 138 |
About Paul J. Reber
Paul J. Reber is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 71 papers that have together received 5.1k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (29 papers), Memory Processes and Influences (19 papers) and Child and Animal Learning Development (17 papers). The work is most often cited by research in Cognitive Neuroscience (3.9k citations), Developmental and Educational Psychology (1.2k citations) and Experimental and Cognitive Psychology (1.2k citations). Paul J. Reber has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Larry R. Squire, Ken A. Paller, Todd B. Parrish, Darren R. Gitelman, M.‐Marsel Mesulam, Craig E.L. Stark, Mark Beeman, Laura Batterink, Barbara J. Knowlton and John Kounios. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.