In‐Sik Kim

67 total papers · 1.0k total citations
22 papers, 143 citations indexed

About

In‐Sik Kim is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Polymers and Plastics. According to data from OpenAlex, In‐Sik Kim has authored 22 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Molecular Biology and 4 papers in Polymers and Plastics. Recurrent topics in In‐Sik Kim's work include Organic Electronics and Photovoltaics (4 papers), Conducting polymers and applications (4 papers) and Ecology and Conservation Studies (2 papers). In‐Sik Kim is often cited by papers focused on Organic Electronics and Photovoltaics (4 papers), Conducting polymers and applications (4 papers) and Ecology and Conservation Studies (2 papers). In‐Sik Kim collaborates with scholars based in South Korea, United States and Switzerland. In‐Sik Kim's co-authors include Do‐Kyeong Ko, Dong‐Yu Kim, Rira Kang, Soo‐Young Jang, Robert Henning, Rama Ranganathan, V. Šrajer, Min Sung Chung, Shaomeng Wang and Irina Kosheleva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

In‐Sik Kim

20 papers receiving 140 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
In‐Sik Kim 68 49 29 22 21 22 143
Chenchen Bian 84 1.2× 106 2.2× 28 1.0× 39 1.8× 8 0.4× 27 282
Sung Ho Kang 53 0.8× 27 0.6× 24 0.8× 21 1.0× 30 1.4× 14 160
Huihui Yang 58 0.9× 12 0.2× 119 4.1× 20 0.9× 27 1.3× 36 256
G. M. Nabar 27 0.4× 23 0.5× 31 1.1× 23 1.0× 17 0.8× 24 226
Robert Bowers 54 0.8× 22 0.4× 66 2.3× 11 0.5× 16 0.8× 18 218
Mengxin 梦欣 Wang 汪 55 0.8× 31 0.6× 81 2.8× 27 1.2× 6 0.3× 27 256
Paul S. Barker 80 1.2× 63 1.3× 29 1.0× 17 0.8× 16 0.8× 16 212
T. Asahi 37 0.5× 11 0.2× 67 2.3× 25 1.1× 7 0.3× 21 260
Chenjing Zhao 156 2.3× 30 0.6× 143 4.9× 10 0.5× 41 2.0× 23 277
Samiah Shahid 37 0.5× 17 0.3× 68 2.3× 47 2.1× 6 0.3× 29 195

Countries citing papers authored by In‐Sik Kim

Since Specialization
Citations

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

Fields of papers citing papers by In‐Sik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Sik 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 In‐Sik Kim. The network helps show where In‐Sik Kim may publish in the future.

Co-authorship network of co-authors of In‐Sik Kim

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

All Works

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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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