Mary J. Naus
- Developmental and Educational Psychology top 2%
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Oncology
- Sociology and Political Science top 10%
- Co-authors
- Peter A. OrnsteinLynn P. RehmSam GlucksbergLaird S. CermakDaniel C. HughesPatrick LeungBrian D. CoxDavid Maxfield
- Topics
- Memory Processes and Influences (12 papers)Visual and Cognitive Learning Processes (8 papers)Reading and Literacy Development (5 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United States
In The Last Decade
Mary J. Naus
33 papers receiving 872 citations
Peers
Comparison fields: 5 of 93
- Developmental and Educational Psychology 436
- Cognitive Neuroscience 390
- Experimental and Cognitive Psychology 229
- Oncology 128
- Sociology and Political Science 119
Countries citing papers authored by Mary J. Naus
This map shows the geographic impact of Mary J. Naus'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 Mary J. Naus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary J. Naus more than expected).
Fields of papers citing papers by Mary J. Naus
This network shows the impact of papers produced by Mary J. Naus. 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 Mary J. Naus. The network helps show where Mary J. Naus may publish in the future.
Co-authorship network of co-authors of Mary J. Naus
This figure shows the co-authorship network connecting the top 25 collaborators of Mary J. Naus. A scholar is included among the top collaborators of Mary J. Naus 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 Mary J. Naus. Mary J. Naus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 125 | |
| 2 | 7 | |
| 3 | 47 | |
| 4 | 27 | |
| 5 | 52 | |
| 6 | 23 | |
| 7 | 25 | |
| 8 | A Memory Model of Depression: An Analysis of Cognition, Development and Emotion. | 2 |
| 9 | 1 | |
| 10 | 93 | |
| 11 | 7 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | 142 | |
| 18 | 38 | |
| 19 | 1 | |
| 20 | 49 |
About Mary J. Naus
Mary J. Naus is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 33 papers that have together received 979 indexed citations. Recurring topics across this work include Memory Processes and Influences (12 papers), Visual and Cognitive Learning Processes (8 papers) and Reading and Literacy Development (5 papers). The work is most often cited by research in Developmental and Educational Psychology (436 citations), Cognitive Neuroscience (390 citations) and Experimental and Cognitive Psychology (229 citations). Mary J. Naus has collaborated with scholars based in United States. Frequent co-authors include Peter A. Ornstein, Lynn P. Rehm, Sam Glucksberg, Laird S. Cermak, Daniel C. Hughes, Patrick Leung, Brian D. Cox, David Maxfield, Thomas D. Miller and Roy Lachman. Their work appears in journals such as Child Development, Developmental Psychology and Clinical Psychology Review.
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.