Inkyum Kim

47 total papers · 1.1k total citations
42 papers, 908 citations indexed

About

Inkyum Kim is a scholar working on Biomedical Engineering, Polymers and Plastics and Cognitive Neuroscience. According to data from OpenAlex, Inkyum Kim has authored 42 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Biomedical Engineering, 31 papers in Polymers and Plastics and 16 papers in Cognitive Neuroscience. Recurrent topics in Inkyum Kim's work include Advanced Sensor and Energy Harvesting Materials (38 papers), Conducting polymers and applications (30 papers) and Tactile and Sensory Interactions (16 papers). Inkyum Kim is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (38 papers), Conducting polymers and applications (30 papers) and Tactile and Sensory Interactions (16 papers). Inkyum Kim collaborates with scholars based in South Korea. Inkyum Kim's co-authors include Daewon Kim, Hyeonhee Roh, Jonghyeon Yun, Seungju Jo, Jungmok You, Dabum Kim, Jihyeon Park, Nagabandi Jayababu, Hyunwoo Cho and Youngsu Kim and has published in prestigious journals such as Advanced Energy Materials, ACS Applied Materials & Interfaces and Journal of Materials Chemistry A.

In The Last Decade

Inkyum Kim

41 papers receiving 891 citations

Author Peers

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

Author Last Decade Papers Cites
Inkyum Kim 718 502 212 196 181 42 908
Cátia Rodrígues 556 0.8× 380 0.8× 279 1.3× 150 0.8× 133 0.7× 22 815
Yinghui Shang 591 0.8× 361 0.7× 142 0.7× 185 0.9× 146 0.8× 34 918
Xiaotian Wu 372 0.5× 217 0.4× 235 1.1× 223 1.1× 83 0.5× 57 1.0k
Guoli Du 787 1.1× 522 1.0× 105 0.5× 182 0.9× 215 1.2× 26 951
Shengping Dai 611 0.9× 329 0.7× 188 0.9× 188 1.0× 117 0.6× 58 853
Di Wang 694 1.0× 286 0.6× 99 0.5× 246 1.3× 109 0.6× 48 906
Junjie Yang 661 0.9× 398 0.8× 270 1.3× 126 0.6× 141 0.8× 60 805
Araz Rajabi‐Abhari 555 0.8× 322 0.6× 159 0.8× 109 0.6× 148 0.8× 35 905
Young Jung 635 0.9× 260 0.5× 92 0.4× 281 1.4× 55 0.3× 46 1.1k
Yating Shi 467 0.7× 192 0.4× 65 0.3× 228 1.2× 118 0.7× 57 917

Countries citing papers authored by Inkyum Kim

Since Specialization
Citations

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

Fields of papers citing papers by Inkyum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inkyum Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Inkyum Kim. A scholar is included among the top collaborators of Inkyum 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 Inkyum Kim. Inkyum 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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