Lynn A. Cooper
- Cognitive Neuroscience top 0.5%
- Experimental and Cognitive Psychology top 0.5%
- Automotive Engineering top 0.5%
- Developmental and Educational Psychology top 0.5%
- Social Psychology top 2%
- Co-authors
- Roger N. ShepardDaniel L. SchacterSuzanne M. DelaneyPeter PodgornyRichard L. StreetPaul HaidetSoledad BallesterosCassandra Moore
- Topics
- Face Recognition and Perception (13 papers)Memory Processes and Influences (11 papers)Child and Animal Learning Development (11 papers)
- Journals
- NatureSciencePsychological Science
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Lynn A. Cooper
55 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cognitive Neuroscience 2.9k
- Experimental and Cognitive Psychology 1.4k
- Automotive Engineering 1.3k
- Developmental and Educational Psychology 1.2k
- Social Psychology 751
Countries citing papers authored by Lynn A. Cooper
This map shows the geographic impact of Lynn A. Cooper'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 Lynn A. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn A. Cooper more than expected).
Fields of papers citing papers by Lynn A. Cooper
This network shows the impact of papers produced by Lynn A. Cooper. 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 Lynn A. Cooper. The network helps show where Lynn A. Cooper may publish in the future.
Co-authorship network of co-authors of Lynn A. Cooper
This figure shows the co-authorship network connecting the top 25 collaborators of Lynn A. Cooper. A scholar is included among the top collaborators of Lynn A. Cooper 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 Lynn A. Cooper. Lynn A. Cooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 8 | |
| 3 | Understanding Concordance in Patient-Physician Relationships: Personal and Ethnic Dimensions of Shared Identitybreakdown → | 451 |
| 4 | 35 | |
| 5 | 25 | |
| 6 | 29 | |
| 7 | 78 | |
| 8 | 23 | |
| 9 | ERP correlates of familiarity and episodic memory for visual stimuli | 2 |
| 10 | Bias in the priming of object decisions: Logic, method, and data | 0 |
| 11 | 10 | |
| 12 | 256 | |
| 13 | 28 | |
| 14 | 68 | |
| 15 | 42 | |
| 16 | 179 | |
| 17 | 4 | |
| 18 | 33 | |
| 19 | 276 | |
| 20 | 39 |
About Lynn A. Cooper
Lynn A. Cooper is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 57 papers that have together received 5.2k indexed citations. Recurring topics across this work include Face Recognition and Perception (13 papers), Memory Processes and Influences (11 papers) and Child and Animal Learning Development (11 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), Experimental and Cognitive Psychology (1.4k citations) and Automotive Engineering (1.3k citations). Lynn A. Cooper has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Roger N. Shepard, Daniel L. Schacter, Suzanne M. Delaney, Peter Podgorny, Richard L. Street, Paul Haidet, Soledad Ballesteros, Cassandra Moore, Eric M. Reiman and Mary A. Peterson. Their work appears in journals such as Nature, Science and Psychological Science.
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.