Kathleen M. Arnold
- Cognitive Neuroscience top 5%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Education top 10%
- Co-authors
- Kathleen B. McDermottKarl K. SzpunarAdrian W. GilmoreElizabeth J. MarshScott M. NelsonMark A. McDanielMichael K. ScullinGilles O. Einstein
- Topics
- Memory Processes and Influences (5 papers)Educational Strategies and Epistemologies (4 papers)Innovative Teaching and Learning Methods (3 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- Journal of NeuroscienceJournal of Experimental Psychology Learning Memory and CognitionPsychology and Aging
- Partner nations
- United StatesGermany
In The Last Decade
Kathleen M. Arnold
13 papers receiving 463 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 303
- Developmental and Educational Psychology 192
- Experimental and Cognitive Psychology 158
- Artificial Intelligence 112
- Education 68
Countries citing papers authored by Kathleen M. Arnold
This map shows the geographic impact of Kathleen M. Arnold'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 Kathleen M. Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathleen M. Arnold more than expected).
Fields of papers citing papers by Kathleen M. Arnold
This network shows the impact of papers produced by Kathleen M. Arnold. 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 Kathleen M. Arnold. The network helps show where Kathleen M. Arnold may publish in the future.
Co-authorship network of co-authors of Kathleen M. Arnold
This figure shows the co-authorship network connecting the top 25 collaborators of Kathleen M. Arnold. A scholar is included among the top collaborators of Kathleen M. Arnold 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 Kathleen M. Arnold. Kathleen M. Arnold 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 | 44 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 42 | |
| 6 | 49 | |
| 7 | 41 | |
| 8 | 1 | |
| 9 | 168 | |
| 10 | 26 | |
| 11 | 80 | |
| 12 | Teaching Idioms to Children Who Are Deaf. | 7 |
| 13 | 4 |
About Kathleen M. Arnold
Kathleen M. Arnold is a scholar working on Developmental and Educational Psychology, General Decision Sciences and Cognitive Neuroscience, having authored 13 papers that have together received 483 indexed citations. Recurring topics across this work include Memory Processes and Influences (5 papers), Educational Strategies and Epistemologies (4 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Cognitive Neuroscience (303 citations), Developmental and Educational Psychology (192 citations) and Experimental and Cognitive Psychology (158 citations). Kathleen M. Arnold has collaborated with scholars based in United States and Germany. Frequent co-authors include Kathleen B. McDermott, Karl K. Szpunar, Adrian W. Gilmore, Elizabeth J. Marsh, Scott M. Nelson, Mark A. McDaniel, Michael K. Scullin, Gilles O. Einstein, Sharda Umanath and David B. Daniel. Their work appears in journals such as Journal of Neuroscience, Journal of Experimental Psychology Learning Memory and Cognition and Psychology and Aging.
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.