Eric D. Leshikar
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 5%
- Developmental and Educational Psychology top 5%
- Social Psychology top 5%
- Neurology top 5%
- Co-authors
- Audrey DuarteAngela GutchessMatthew P. McCurdyRyan C. LeachAllison M. SklenarBradley P. SuttonMichael TrumboLaura E. Matzen
- Topics
- Memory Processes and Influences (27 papers)Neural and Behavioral Psychology Studies (24 papers)Memory and Neural Mechanisms (12 papers)
- Cited by
- Cognitive NeuroscienceNeuropsychology and Physiological PsychologyExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONENeuroImage
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Eric D. Leshikar
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 1.3k
- Experimental and Cognitive Psychology 338
- Developmental and Educational Psychology 319
- Social Psychology 290
- Neurology 175
Countries citing papers authored by Eric D. Leshikar
This map shows the geographic impact of Eric D. Leshikar'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 Eric D. Leshikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Leshikar more than expected).
Fields of papers citing papers by Eric D. Leshikar
This network shows the impact of papers produced by Eric D. Leshikar. 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 Eric D. Leshikar. The network helps show where Eric D. Leshikar may publish in the future.
Co-authorship network of co-authors of Eric D. Leshikar
This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Leshikar. A scholar is included among the top collaborators of Eric D. Leshikar 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 Eric D. Leshikar. Eric D. Leshikar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 25 | |
| 10 | 22 | |
| 11 | 62 | |
| 12 | 32 | |
| 13 | 25 | |
| 14 | 60 | |
| 15 | 26 | |
| 16 | 39 | |
| 17 | 79 | |
| 18 | 45 | |
| 19 | 52 | |
| 20 | Age-Related Changes in Object Processing and Contextual Binding Revealed Using fMR Adaptation | 3 |
About Eric D. Leshikar
Eric D. Leshikar is a scholar working on Cognitive Neuroscience, Neuropsychology and Physiological Psychology and Experimental and Cognitive Psychology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Memory Processes and Influences (27 papers), Neural and Behavioral Psychology Studies (24 papers) and Memory and Neural Mechanisms (12 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Neuropsychology and Physiological Psychology (61 citations) and Experimental and Cognitive Psychology (338 citations). Eric D. Leshikar has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Audrey Duarte, Angela Gutchess, Matthew P. McCurdy, Ryan C. Leach, Allison M. Sklenar, Bradley P. Sutton, Michael Trumbo, Laura E. Matzen, Joshua Oon Soo Goh and Jiat Chow Tan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.
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.