N. Jane Zbrodoff
- Cognitive Neuroscience top 2%
- Developmental and Educational Psychology top 2%
- Statistics and Probability top 0.5%
- Experimental and Cognitive Psychology top 2%
- Education top 5%
- Topics
- Cognitive and developmental aspects of mathematical skills (11 papers)Child and Animal Learning Development (5 papers)Visual and Cognitive Learning Processes (4 papers)
- Journals
- Journal of Experimental Psychology Human Perception & PerformanceJournal of Experimental Psychology GeneralJournal of Experimental Psychology Learning Memory and Cognition
- Partner nations
- United StatesCanadaChina
In The Last Decade
N. Jane Zbrodoff
20 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 1.2k
- Developmental and Educational Psychology 670
- Statistics and Probability 629
- Experimental and Cognitive Psychology 582
- Education 246
Countries citing papers authored by N. Jane Zbrodoff
This map shows the geographic impact of N. Jane Zbrodoff'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 N. Jane Zbrodoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Jane Zbrodoff more than expected).
Fields of papers citing papers by N. Jane Zbrodoff
This network shows the impact of papers produced by N. Jane Zbrodoff. 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 N. Jane Zbrodoff. The network helps show where N. Jane Zbrodoff may publish in the future.
Co-authorship network of co-authors of N. Jane Zbrodoff
This figure shows the co-authorship network connecting the top 25 collaborators of N. Jane Zbrodoff. A scholar is included among the top collaborators of N. Jane Zbrodoff 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 N. Jane Zbrodoff. N. Jane Zbrodoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | What everyone finds: The problem-size effect. | 116 |
| 3 | 2 | |
| 4 | 55 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 17 | |
| 9 | 86 | |
| 10 | 84 | |
| 11 | 15 | |
| 12 | 108 | |
| 13 | 181 | |
| 14 | 158 | |
| 15 | 123 | |
| 16 | 26 | |
| 17 | 59 | |
| 18 | 78 | |
| 19 | 482 | |
| 20 | 158 |
About N. Jane Zbrodoff
N. Jane Zbrodoff is a scholar working on Statistics and Probability, Theoretical Computer Science and Developmental and Educational Psychology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (11 papers), Child and Animal Learning Development (5 papers) and Visual and Cognitive Learning Processes (4 papers). The work is most often cited by research in General Decision Sciences (202 citations), Statistics and Probability (629 citations) and Cognitive Neuroscience (1.2k citations). N. Jane Zbrodoff has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Gordon D. Logan, James R. Williamson, Michael C. Corballis, Larry Shetzer and Xingshan Li. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Journal of Experimental Psychology General 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.