Seongmin A. Park
- Cognitive Neuroscience top 5%
- Artificial Intelligence
- Developmental and Educational Psychology top 10%
- Experimental and Cognitive Psychology
- Social Psychology
- Co-authors
- Erie D. BoormanDouglas S. MillerCharan RanganathJean‐Claude DreherHamed NiliMariateresa SestitoDavid O’ConnorRajesh P. N. Rao
- Topics
- Memory and Neural Mechanisms (6 papers)Cognitive Science and Mapping (5 papers)Child and Animal Learning Development (4 papers)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Seongmin A. Park
19 papers receiving 479 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 329
- Artificial Intelligence 77
- Developmental and Educational Psychology 71
- Experimental and Cognitive Psychology 67
- Social Psychology 60
Countries citing papers authored by Seongmin A. Park
This map shows the geographic impact of Seongmin A. 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 Seongmin A. Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongmin A. Park more than expected).
Fields of papers citing papers by Seongmin A. Park
This network shows the impact of papers produced by Seongmin A. 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 Seongmin A. Park. The network helps show where Seongmin A. Park may publish in the future.
Co-authorship network of co-authors of Seongmin A. Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seongmin A. Park. A scholar is included among the top collaborators of Seongmin A. 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 Seongmin A. Park. Seongmin A. 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 | 14 | |
| 3 | 14 | |
| 4 | A Neural Network Model of Continual Learning with Cognitive Control. | 8 |
| 5 | 89 | |
| 6 | 21 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 124 | |
| 11 | 40 | |
| 12 | 29 | |
| 13 | 6 | |
| 14 | 26 | |
| 15 | 38 | |
| 16 | A Probabilistic Model of Social Decision Making based on Reward Maximization | 5 |
| 17 | 19 | |
| 18 | 8 | |
| 19 | 5 |
About Seongmin A. Park
Seongmin A. Park is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Safety Research, having authored 19 papers that have together received 484 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (6 papers), Cognitive Science and Mapping (5 papers) and Child and Animal Learning Development (4 papers). The work is most often cited by research in Cognitive Neuroscience (329 citations), General Decision Sciences (23 citations) and Developmental and Educational Psychology (71 citations). Seongmin A. Park has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Erie D. Boorman, Douglas S. Miller, Charan Ranganath, Jean‐Claude Dreher, Hamed Nili, Mariateresa Sestito, David O’Connor, Rajesh P. N. Rao, Yanchang Zhang and Jaeseung Jeong. Their work appears in journals such as Nature Communications, Neuron and Nature Genetics.
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.