Seung Mo Kim

770 total citations
66 papers, 571 citations indexed

About

Seung Mo Kim is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Seung Mo Kim has authored 66 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 13 papers in Biomedical Engineering. Recurrent topics in Seung Mo Kim's work include Semiconductor materials and devices (13 papers), Advanced Memory and Neural Computing (10 papers) and Graphene research and applications (7 papers). Seung Mo Kim is often cited by papers focused on Semiconductor materials and devices (13 papers), Advanced Memory and Neural Computing (10 papers) and Graphene research and applications (7 papers). Seung Mo Kim collaborates with scholars based in South Korea, United States and Saudi Arabia. Seung Mo Kim's co-authors include Byoung Hun Lee, Woo Il Lee, GeunHyung Kim, Soyoung Kim, A. Syed, Wei Lin, Yongchul Shin, Ho‐In Lee, Hyeon Jun Hwang and Sanghan Lee and has published in prestigious journals such as ACS Nano, Scientific Reports and Carbon.

In The Last Decade

Seung Mo Kim

56 papers receiving 549 citations

Peers

Seung Mo Kim
Comparison fields: 5 of 66
  • Electrical and Electronic Engineering 299
  • Materials Chemistry 178
  • Biomedical Engineering 92
  • Mechanical Engineering 91
  • Renewable Energy, Sustainability and the Environment 85
Replace Yu-Hung Lin with:
Yu-Hung Lin Taiwan
Sung-Hyeon Park South Korea
Abhishek Tiwari India
Sang Wook Park South Korea
Shiwei Chen China
Jong Heon Kim South Korea
Gobinath Velu Kaliyannan India
Sasi Kumar Tippabhotla Singapore
Xiao Tao China
Kyung Su Kim South Korea
Yu-Hung Lin Taiwan View profile →
Citations per field, relative to Seung Mo Kim
Seung Mo Kim · 1×
Citations per year, relative to Seung Mo Kim
Seung Mo Kim · 1×

Countries citing papers authored by Seung Mo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seung Mo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Mo Kim. 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 Seung Mo Kim. The network helps show where Seung Mo Kim may publish in the future.

Co-authorship network of co-authors of Seung Mo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Mo Kim. A scholar is included among the top collaborators of Seung Mo Kim 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 Seung Mo Kim. Seung Mo Kim 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
# Work Indexed citations
1 0
2 1
3 1
4 3
5 7
6 11
7 2
8 0
9 7
10 0
11 5
12 4
13 0
14 1
15 7
16 0
17 92
18 3
19 1
20 1

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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