Lynne M. Reder
- Cognitive Neuroscience top 0.5%
- Developmental and Educational Psychology top 0.2%
- Experimental and Cognitive Psychology top 0.5%
- Artificial Intelligence top 1%
- Education top 0.5%
- Co-authors
- John R. AndersonHerbert A. SimonFrank E. RitterMichael S. AyersJason ArndtChristian D. SchunnRachel A. DianaHeekyeong Park
- Topics
- Memory Processes and Influences (52 papers)Neural and Behavioral Psychology Studies (30 papers)Memory and Neural Mechanisms (21 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- United StatesChinaFrance
In The Last Decade
Lynne M. Reder
121 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cognitive Neuroscience 3.6k
- Developmental and Educational Psychology 2.6k
- Experimental and Cognitive Psychology 1.5k
- Artificial Intelligence 1.3k
- Education 1.3k
Countries citing papers authored by Lynne M. Reder
This map shows the geographic impact of Lynne M. Reder'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 Lynne M. Reder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynne M. Reder more than expected).
Fields of papers citing papers by Lynne M. Reder
This network shows the impact of papers produced by Lynne M. Reder. 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 Lynne M. Reder. The network helps show where Lynne M. Reder may publish in the future.
Co-authorship network of co-authors of Lynne M. Reder
This figure shows the co-authorship network connecting the top 25 collaborators of Lynne M. Reder. A scholar is included among the top collaborators of Lynne M. Reder 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 Lynne M. Reder. Lynne M. Reder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | Word frequency affects binding probability not memory precision. | 1 |
| 5 | 72 | |
| 6 | 8 | |
| 7 | 24 | |
| 8 | 21 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 88 | |
| 12 | 62 | |
| 13 | 10 | |
| 14 | 33 | |
| 15 | 20 | |
| 16 | 69 | |
| 17 | EDUCACIÓN: EL CONSTRUCTIVISMO RADICAL Y LA PSICOLOGÍA COGNITIVA* | 3 |
| 18 | Radical constructivism and cognitive psychology | 62 |
| 19 | 70 | |
| 20 | 251 |
About Lynne M. Reder
Lynne M. Reder is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 126 papers that have together received 7.2k indexed citations. Recurring topics across this work include Memory Processes and Influences (52 papers), Neural and Behavioral Psychology Studies (30 papers) and Memory and Neural Mechanisms (21 papers). The work is most often cited by research in Developmental and Educational Psychology (2.6k citations), Cognitive Neuroscience (3.6k citations) and Experimental and Cognitive Psychology (1.5k citations). Lynne M. Reder has collaborated with scholars based in United States, China and France. Frequent co-authors include John R. Anderson, Herbert A. Simon, Frank E. Ritter, Michael S. Ayers, Jason Arndt, Christian D. Schunn, Rachel A. Diana, Heekyeong Park, John Anderson and Christian Lebière. Their work appears in journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and PLoS ONE.
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.