Megan H. Papesh
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 5%
- Developmental and Educational Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Stephen D. GoldingerMichael C. HoutYi HeAnthony S. BarnhartPeter N. SteinmetzDavid M. TreimanJohn T. WixtedKris A. Smith
- Topics
- Memory Processes and Influences (12 papers)Face Recognition and Perception (11 papers)Memory and Neural Mechanisms (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United States
In The Last Decade
Megan H. Papesh
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 160
- Cognitive Neuroscience 825
- Experimental and Cognitive Psychology 421
- Social Psychology 302
- Developmental and Educational Psychology 142
- Computer Vision and Pattern Recognition 129
Countries citing papers authored by Megan H. Papesh
This map shows the geographic impact of Megan H. Papesh'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 Megan H. Papesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan H. Papesh more than expected).
Fields of papers citing papers by Megan H. Papesh
This network shows the impact of papers produced by Megan H. Papesh. 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 Megan H. Papesh. The network helps show where Megan H. Papesh may publish in the future.
Co-authorship network of co-authors of Megan H. Papesh
This figure shows the co-authorship network connecting the top 25 collaborators of Megan H. Papesh. A scholar is included among the top collaborators of Megan H. Papesh 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 Megan H. Papesh. Megan H. Papesh 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 | 1 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 15 | |
| 8 | 3 | |
| 9 | 36 | |
| 10 | 120 | |
| 11 | 6 | |
| 12 | 47 | |
| 13 | 35 | |
| 14 | 251 | |
| 15 | 39 | |
| 16 | 38 | |
| 17 | 98 | |
| 18 | 39 | |
| 19 | 152 | |
| 20 | 13 |
About Megan H. Papesh
Megan H. Papesh is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory Processes and Influences (12 papers), Face Recognition and Perception (11 papers) and Memory and Neural Mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (825 citations), Experimental and Cognitive Psychology (421 citations) and Sensory Systems (82 citations). Megan H. Papesh has collaborated with scholars based in United States. Frequent co-authors include Stephen D. Goldinger, Michael C. Hout, Yi He, Anthony S. Barnhart, Peter N. Steinmetz, David M. Treiman, John T. Wixted, Kris A. Smith, Larry R. Squire and Yoon‐Hee Jang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.