Sara D. Davis
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence top 10%
- Social Psychology
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Jason C. K. ChanChristian A. MeissnerMichelle L. MeadeKarl K. SzpunarDaniel J. PetersonMark J. HuffMiko M. WilfordJason Geller
- Topics
- Memory Processes and Influences (14 papers)Deception detection and forensic psychology (3 papers)Educational Strategies and Epistemologies (2 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- Psychological BulletinJournal of Experimental Psychology GeneralJournal of Experimental Psychology Learning Memory and Cognition
- Partner nations
- United StatesCanada
In The Last Decade
Sara D. Davis
17 papers receiving 296 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 252
- Developmental and Educational Psychology 99
- Artificial Intelligence 92
- Social Psychology 82
- Experimental and Cognitive Psychology 81
Countries citing papers authored by Sara D. Davis
This map shows the geographic impact of Sara D. Davis'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 Sara D. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara D. Davis more than expected).
Fields of papers citing papers by Sara D. Davis
This network shows the impact of papers produced by Sara D. Davis. 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 Sara D. Davis. The network helps show where Sara D. Davis may publish in the future.
Co-authorship network of co-authors of Sara D. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Sara D. Davis. A scholar is included among the top collaborators of Sara D. Davis 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 Sara D. Davis. Sara D. Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | 45 | |
| 11 | 97 | |
| 12 | Can multiple-choice testing potentiate new learning for text passages? A meta-cognitive approach to understanding the forward testing effect | 1 |
| 13 | 20 | |
| 14 | 22 | |
| 15 | 17 | |
| 16 | 26 | |
| 17 | 22 |
About Sara D. Davis
Sara D. Davis is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Memory Processes and Influences (14 papers), Deception detection and forensic psychology (3 papers) and Educational Strategies and Epistemologies (2 papers). The work is most often cited by research in Cognitive Neuroscience (252 citations), Developmental and Educational Psychology (99 citations) and Experimental and Cognitive Psychology (81 citations). Sara D. Davis has collaborated with scholars based in United States and Canada. Frequent co-authors include Jason C. K. Chan, Christian A. Meissner, Michelle L. Meade, Karl K. Szpunar, Daniel J. Peterson, Mark J. Huff, Miko M. Wilford, Jason Geller, Kathryn T. Wissman and Diana L. Urbauer. Their work appears in journals such as Psychological Bulletin, Journal of Experimental Psychology General and Journal of Experimental Psychology Learning Memory and Cognition.
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.