Nancy K. Innis
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Cellular and Molecular Neuroscience top 10%
- Statistics and Probability top 5%
- Social Psychology top 10%
- Co-authors
- J. E. R. StaddonKlaus‐Peter OssenkoppPhilipp J. KraemerCharles R. YangGordon J. MogensonMary E. GilbertRobert DaleFrank S. Prato
- Topics
- Behavioral and Psychological Studies (16 papers)Memory and Neural Mechanisms (8 papers)Cognitive and developmental aspects of mathematical skills (7 papers)
- Partner nations
- CanadaUnited States
In The Last Decade
Nancy K. Innis
35 papers receiving 705 citations
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 408
- Developmental and Educational Psychology 298
- Cellular and Molecular Neuroscience 227
- Statistics and Probability 116
- Social Psychology 88
Countries citing papers authored by Nancy K. Innis
This map shows the geographic impact of Nancy K. Innis'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 Nancy K. Innis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy K. Innis more than expected).
Fields of papers citing papers by Nancy K. Innis
This network shows the impact of papers produced by Nancy K. Innis. 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 Nancy K. Innis. The network helps show where Nancy K. Innis may publish in the future.
Co-authorship network of co-authors of Nancy K. Innis
This figure shows the co-authorship network connecting the top 25 collaborators of Nancy K. Innis. A scholar is included among the top collaborators of Nancy K. Innis 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 Nancy K. Innis. Nancy K. Innis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Reflections on adaptive behavior : essays in honor of J.E.R. Staddon | 4 |
| 2 | 20 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | Early Research on the Inheritance of the Ability to Learn | 2 |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 87 | |
| 10 | 12 | |
| 11 | 39 | |
| 12 | 40 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 47 | |
| 19 | 11 | |
| 20 | 25 |
About Nancy K. Innis
Nancy K. Innis is a scholar working on General Psychology, Developmental and Educational Psychology and Behavioral Neuroscience, having authored 36 papers that have together received 748 indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (16 papers), Memory and Neural Mechanisms (8 papers) and Cognitive and developmental aspects of mathematical skills (7 papers). The work is most often cited by research in Developmental and Educational Psychology (298 citations), Cognitive Neuroscience (408 citations) and Statistics and Probability (116 citations). Nancy K. Innis has collaborated with scholars based in Canada and United States. Frequent co-authors include J. E. R. Staddon, Klaus‐Peter Ossenkopp, Philipp J. Kraemer, Charles R. Yang, Gordon J. Mogenson, Mary E. Gilbert, Robert Dale, Frank S. Prato, Taro Kaibara and L. Stan Leung. Their work appears in journals such as American Psychologist, Brain Research and Animal Behaviour.
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.