Heekyeong Park
- Cognitive Neuroscience top 2%
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Developmental and Educational Psychology top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Michael D. RuggLynne M. RederJason ArndtMelina R. UncapherRachel A. DianaJeffrey D. JohnsonPaul D. KieffaberAndrew Hebrank
- Topics
- Memory Processes and Influences (17 papers)Memory and Neural Mechanisms (14 papers)Neural and Behavioral Psychology Studies (6 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- United StatesArgentinaJapan
In The Last Decade
Heekyeong Park
28 papers receiving 859 citations
Peers
Comparison fields: 5 of 79
- Cognitive Neuroscience 780
- Social Psychology 153
- Experimental and Cognitive Psychology 112
- Developmental and Educational Psychology 109
- Cellular and Molecular Neuroscience 80
Countries citing papers authored by Heekyeong Park
This map shows the geographic impact of Heekyeong Park'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 Heekyeong Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heekyeong Park more than expected).
Fields of papers citing papers by Heekyeong Park
This network shows the impact of papers produced by Heekyeong Park. 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 Heekyeong Park. The network helps show where Heekyeong Park may publish in the future.
Co-authorship network of co-authors of Heekyeong Park
This figure shows the co-authorship network connecting the top 25 collaborators of Heekyeong Park. A scholar is included among the top collaborators of Heekyeong Park 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 Heekyeong Park. Heekyeong Park 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 | 6 | |
| 3 | 4 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 36 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 69 | |
| 13 | 61 | |
| 14 | 88 | |
| 15 | 38 | |
| 16 | 32 | |
| 17 | 155 | |
| 18 | 22 | |
| 19 | 198 | |
| 20 | 9 |
About Heekyeong Park
Heekyeong Park is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology, having authored 28 papers that have together received 886 indexed citations. Recurring topics across this work include Memory Processes and Influences (17 papers), Memory and Neural Mechanisms (14 papers) and Neural and Behavioral Psychology Studies (6 papers). The work is most often cited by research in Cognitive Neuroscience (780 citations), Developmental and Educational Psychology (109 citations) and Experimental and Cognitive Psychology (112 citations). Heekyeong Park has collaborated with scholars based in United States, Argentina and Japan. Frequent co-authors include Michael D. Rugg, Lynne M. Reder, Jason Arndt, Melina R. Uncapher, Rachel A. Diana, Jeffrey D. Johnson, Paul D. Kieffaber, Andrew Hebrank, Denise C. Park and Kristen M. Kennedy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin 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.