Tanya M. Evans
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Statistics and Probability top 2%
- Education top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Vinod MenonChristian BattistaShaozheng QinEileen M. NapolielloD. Lynn FlowersGuinevere F. EdenTianwen ChenJohn Kochalka
- Topics
- Cognitive and developmental aspects of mathematical skills (13 papers)Reading and Literacy Development (9 papers)Neuroscience, Education and Cognitive Function (7 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Tanya M. Evans
23 papers receiving 651 citations
Peers
Comparison fields: 5 of 91
- Cognitive Neuroscience 294
- Developmental and Educational Psychology 274
- Statistics and Probability 235
- Education 151
- Experimental and Cognitive Psychology 107
Countries citing papers authored by Tanya M. Evans
This map shows the geographic impact of Tanya M. Evans'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 Tanya M. Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanya M. Evans more than expected).
Fields of papers citing papers by Tanya M. Evans
This network shows the impact of papers produced by Tanya M. Evans. 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 Tanya M. Evans. The network helps show where Tanya M. Evans may publish in the future.
Co-authorship network of co-authors of Tanya M. Evans
This figure shows the co-authorship network connecting the top 25 collaborators of Tanya M. Evans. A scholar is included among the top collaborators of Tanya M. Evans 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 Tanya M. Evans. Tanya M. Evans 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 22 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 101 | |
| 13 | 20 | |
| 14 | 36 | |
| 15 | 22 | |
| 16 | 33 | |
| 17 | 60 | |
| 18 | 79 | |
| 19 | 35 | |
| 20 | 47 |
About Tanya M. Evans
Tanya M. Evans is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Cognitive Neuroscience, having authored 26 papers that have together received 659 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (13 papers), Reading and Literacy Development (9 papers) and Neuroscience, Education and Cognitive Function (7 papers). The work is most often cited by research in Statistics and Probability (235 citations), Developmental and Educational Psychology (274 citations) and Cognitive Neuroscience (294 citations). Tanya M. Evans has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Vinod Menon, Christian Battista, Shaozheng Qin, Eileen M. Napoliello, D. Lynn Flowers, Guinevere F. Eden, Tianwen Chen, John Kochalka, Michael T. Ullman and Lang Chen. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.
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.