Nate Kornell
- Developmental and Educational Psychology top 0.2%
- Cognitive Neuroscience top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Artificial Intelligence top 1%
- Education top 0.5%
- Co-authors
- Robert A. BjorkJanet MetcalfeJohn DunloskyLisa K. SonMatthew HaysH. S. TerraceLindsey E. RichlandAlan D. Castel
- Topics
- Memory Processes and Influences (47 papers)Visual and Cognitive Learning Processes (18 papers)Child and Animal Learning Development (17 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Journals
- Psychological ScienceAnnual Review of PsychologyProceedings of the Royal Society B Biological Sciences
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Nate Kornell
63 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Developmental and Educational Psychology 3.1k
- Cognitive Neuroscience 2.9k
- Experimental and Cognitive Psychology 1.7k
- Artificial Intelligence 1.4k
- Education 1.3k
Countries citing papers authored by Nate Kornell
This map shows the geographic impact of Nate Kornell'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 Nate Kornell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nate Kornell more than expected).
Fields of papers citing papers by Nate Kornell
This network shows the impact of papers produced by Nate Kornell. 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 Nate Kornell. The network helps show where Nate Kornell may publish in the future.
Co-authorship network of co-authors of Nate Kornell
This figure shows the co-authorship network connecting the top 25 collaborators of Nate Kornell. A scholar is included among the top collaborators of Nate Kornell 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 Nate Kornell. Nate Kornell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Prospective and Retrospective Metacognitive Abilities in Rhesus Monkeys | 0 |
| 2 | 7 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 23 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 52 | |
| 10 | 65 | |
| 11 | 28 | |
| 12 | 91 | |
| 13 | 24 | |
| 14 | 125 | |
| 15 | 217 | |
| 16 | 343 | |
| 17 | 123 | |
| 18 | 372 | |
| 19 | 185 | |
| 20 | 143 |
About Nate Kornell
Nate Kornell is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and General Decision Sciences, having authored 65 papers that have together received 5.9k indexed citations. Recurring topics across this work include Memory Processes and Influences (47 papers), Visual and Cognitive Learning Processes (18 papers) and Child and Animal Learning Development (17 papers). The work is most often cited by research in Developmental and Educational Psychology (3.1k citations), Cognitive Neuroscience (2.9k citations) and Experimental and Cognitive Psychology (1.7k citations). Nate Kornell has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Robert A. Bjork, Janet Metcalfe, John Dunlosky, Lisa K. Son, Matthew Hays, H. S. Terrace, Lindsey E. Richland, Alan D. Castel, Michael A. Garcia and Elizabeth Ligon Bjork. Their work appears in journals such as Psychological Science, Annual Review of Psychology and Proceedings of the Royal Society B Biological Sciences.
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.