Jean Won Kwak

3.6k total citations
12 papers, 626 citations indexed

About

Jean Won Kwak is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Jean Won Kwak has authored 12 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Cognitive Neuroscience. Recurrent topics in Jean Won Kwak's work include Advanced Sensor and Energy Harvesting Materials (6 papers), Conducting polymers and applications (2 papers) and Advanced Materials and Mechanics (2 papers). Jean Won Kwak is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (6 papers), Conducting polymers and applications (2 papers) and Advanced Materials and Mechanics (2 papers). Jean Won Kwak collaborates with scholars based in United States, China and South Korea. Jean Won Kwak's co-authors include John A. Rogers, Jeonghyun Kim, Mengdi Han, Yonggang Huang, Yerim Kim, Youn‐Kyoung Lee, Yinji Ma, Kyung‐In Jang, Han Na Jung and Xue Feng and has published in prestigious journals such as Advanced Materials, Nature Communications and Advanced Functional Materials.

In The Last Decade

Jean Won Kwak

12 papers receiving 618 citations

Peers

Jean Won Kwak
Comparison fields: 5 of 83
  • Biomedical Engineering 459
  • Electrical and Electronic Engineering 148
  • Polymers and Plastics 139
  • Mechanical Engineering 138
  • Cognitive Neuroscience 96
Replace Dickson R. Yao with:
Dickson R. Yao United States
Jaeman Lim South Korea
Richard Moser Austria
Hyunjun Kim South Korea
Hokyung Jang South Korea
Shuaijian Yang China
Lijun Teng China
Yifan Rao United States
Seonggwang Yoo South Korea
Manuel Reis Carneiro Portugal
Dickson R. Yao United States View profile →
Citations per field, relative to Jean Won Kwak
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Citations per year, relative to Jean Won Kwak
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Countries citing papers authored by Jean Won Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Jean Won Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Won Kwak. 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 Jean Won Kwak. The network helps show where Jean Won Kwak may publish in the future.

Co-authorship network of co-authors of Jean Won Kwak

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 16
2 1
3 11
4 38
5 62
6 77
7 5
8 105
9 71
10 84
11 54
12 102

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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