Yana Weinstein
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 5%
- Education top 5%
- Clinical Psychology top 10%
- Co-authors
- Henry L. RoedigerMegan SumerackiThomas F. OltmannsKathleen B. McDermottMarci E. J. GleasonChristopher R. MadanJulie M. BuggKarl K. Szpunar
- Topics
- Memory Processes and Influences (12 papers)Intelligent Tutoring Systems and Adaptive Learning (6 papers)Innovative Teaching and Learning Methods (5 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- Journal of Abnormal PsychologyJournal of Experimental Psychology Learning Memory and CognitionFrontiers in Psychology
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Yana Weinstein
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Cognitive Neuroscience 581
- Experimental and Cognitive Psychology 310
- Developmental and Educational Psychology 263
- Education 236
- Clinical Psychology 194
Countries citing papers authored by Yana Weinstein
This map shows the geographic impact of Yana Weinstein'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 Yana Weinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yana Weinstein more than expected).
Fields of papers citing papers by Yana Weinstein
This network shows the impact of papers produced by Yana Weinstein. 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 Yana Weinstein. The network helps show where Yana Weinstein may publish in the future.
Co-authorship network of co-authors of Yana Weinstein
This figure shows the co-authorship network connecting the top 25 collaborators of Yana Weinstein. A scholar is included among the top collaborators of Yana Weinstein 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 Yana Weinstein. Yana Weinstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 120 | |
| 3 | 3 | |
| 4 | 152 | |
| 5 | 47 | |
| 6 | 8 | |
| 7 | 45 | |
| 8 | 70 | |
| 9 | 48 | |
| 10 | 4 | |
| 11 | 27 | |
| 12 | 26 | |
| 13 | 52 | |
| 14 | 60 | |
| 15 | 37 | |
| 16 | 54 | |
| 17 | 29 | |
| 18 | 15 | |
| 19 | 114 | |
| 20 | 7 |
About Yana Weinstein
Yana Weinstein is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Memory Processes and Influences (12 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers) and Innovative Teaching and Learning Methods (5 papers). The work is most often cited by research in Cognitive Neuroscience (581 citations), Experimental and Cognitive Psychology (310 citations) and Developmental and Educational Psychology (263 citations). Yana Weinstein has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Henry L. Roediger, Megan Sumeracki, Thomas F. Oltmanns, Kathleen B. McDermott, Marci E. J. Gleason, Christopher R. Madan, Julie M. Bugg, Karl K. Szpunar, Ludmila Nunes and Sara Baker. Their work appears in journals such as Journal of Abnormal Psychology, Journal of Experimental Psychology Learning Memory and Cognition and Frontiers in Psychology.
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.