Taegyun Park

707 citations
26 papers · 540 indexed · h-index 12
Topics
Advanced Memory and Neural Computing (15 papers)Ferroelectric and Negative Capacitance Devices (10 papers)Neuroscience and Neural Engineering (8 papers)
Journals
Advanced MaterialsAngewandte Chemie International EditionSHILAP Revista de lepidopterología

In The Last Decade

Taegyun Park

25 papers receiving 536 citations

Peers

Taegyun Park
Comparison fields: 5 of 88
  • Electrical and Electronic Engineering 182
  • Materials Chemistry 145
  • Biomedical Engineering 139
  • Biomaterials 111
  • Surfaces, Coatings and Films 101
Replace Mojgan Heydari with:
Mojgan Heydari Iran
Laura Blasi Italy
Sviatlana A. Ulasevich Russia
Jui-Hsiang Liu Taiwan
Niklas Felix König France
Peter H. Dykstra United States
Francesca Pignatelli Italy
Oriella Gennari Italy
Sahar Rahmani United States
Wonseok Lee South Korea
Taegyun Park relative to Mojgan Heydari Iran Mojgan Heydari's profile →
Citations per field
00.5×1.7×
Mojgan Heydari · 1×
Citations per year

Countries citing papers authored by Taegyun Park

Since Specialization
Citations

This map shows the geographic impact of Taegyun 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 Taegyun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taegyun Park more than expected).

Fields of papers citing papers by Taegyun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taegyun 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 Taegyun Park. The network helps show where Taegyun Park may publish in the future.

Co-authorship network of co-authors of Taegyun Park

This figure shows the co-authorship network connecting the top 25 collaborators of Taegyun Park. A scholar is included among the top collaborators of Taegyun 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 Taegyun Park. Taegyun Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 3
4 5
5 9
6 5
7 12
8 3
9 14
10 1
11 6
12 15
13 30
14 76
15 57
16 25
17 34
18 22
19 95
20 6

About Taegyun Park

Taegyun Park is a scholar working on Surfaces, Coatings and Films, Cellular and Molecular Neuroscience and Pharmaceutical Science, having authored 26 papers that have together received 540 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (101 citations), Biomaterials (111 citations) and Polymers and Plastics (52 citations). Taegyun Park has collaborated with scholars based in South Korea, Argentina and United States. Frequent co-authors include Insung S. Choi, Beom Jin Kim, Cheol Seong Hwang, Hojae Lee, Daewha Hong, Hee Moon, Won Il Kim, Sang Woo Han, Wongu Youn and Soyoung Park. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition 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.

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