Jonathan G. Tullis
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 5%
- Education top 5%
- Co-authors
- Aaron S. BenjaminRobert L. GoldstoneJason R. FinleyGeoffrey B. MaddoxSarah Brown‐SchmidtScott H. FraundorfRachel RyskinBrian H. Ross
- Topics
- Memory Processes and Influences (22 papers)Child and Animal Learning Development (11 papers)Educational Strategies and Epistemologies (10 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Journals
- Journal of Experimental Psychology GeneralCognitive PsychologyJournal of Experimental Psychology Learning Memory and Cognition
- Partner nations
- United StatesChina
In The Last Decade
Jonathan G. Tullis
31 papers receiving 982 citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 536
- Developmental and Educational Psychology 407
- Experimental and Cognitive Psychology 260
- Artificial Intelligence 233
- Education 218
Countries citing papers authored by Jonathan G. Tullis
This map shows the geographic impact of Jonathan G. Tullis'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 G. Tullis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan G. Tullis more than expected).
Fields of papers citing papers by Jonathan G. Tullis
This network shows the impact of papers produced by Jonathan G. Tullis. 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 G. Tullis. The network helps show where Jonathan G. Tullis may publish in the future.
Co-authorship network of co-authors of Jonathan G. Tullis
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan G. Tullis. A scholar is included among the top collaborators of Jonathan G. Tullis 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 G. Tullis. Jonathan G. Tullis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 21 | |
| 7 | 30 | |
| 8 | 6 | |
| 9 | 56 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 29 | |
| 13 | 28 | |
| 14 | 15 | |
| 15 | 30 | |
| 16 | 88 | |
| 17 | 29 | |
| 18 | 31 | |
| 19 | 238 | |
| 20 | 175 |
About Jonathan G. Tullis
Jonathan G. Tullis is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and General Decision Sciences, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Memory Processes and Influences (22 papers), Child and Animal Learning Development (11 papers) and Educational Strategies and Epistemologies (10 papers). The work is most often cited by research in Developmental and Educational Psychology (407 citations), Cognitive Neuroscience (536 citations) and Experimental and Cognitive Psychology (260 citations). Jonathan G. Tullis has collaborated with scholars based in United States and China. Frequent co-authors include Aaron S. Benjamin, Robert L. Goldstone, Jason R. Finley, Geoffrey B. Maddox, Sarah Brown‐Schmidt, Scott H. Fraundorf, Rachel Ryskin, Brian H. Ross, Xiping Liu and Ji Hae Lee. Their work appears in journals such as Journal of Experimental Psychology General, Cognitive Psychology and Journal of Experimental Psychology Learning Memory and Cognition.
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.