Taeoh Kim

99 total papers · 616 total citations
36 papers, 328 citations indexed

About

Taeoh Kim is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Taeoh Kim has authored 36 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Taeoh Kim's work include Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Photonic and Optical Devices (4 papers). Taeoh Kim is often cited by papers focused on Advanced Image Processing Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Photonic and Optical Devices (4 papers). Taeoh Kim collaborates with scholars based in South Korea, Poland and Canada. Taeoh Kim's co-authors include Sangyoun Lee, MyeongAh Cho, Suhwan Cho, Kyong Soo Park, Youngsoo Kim, Kyunggon Kim, Hyeong Gon Yu, Un‐Beom Kang, Cheolju Lee and Sang Jin Kim and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Heat and Mass Transfer and Optics Letters.

In The Last Decade

Taeoh Kim

29 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Taeoh Kim 104 101 63 58 47 36 328
Mehmood Nawaz 34 0.3× 93 0.9× 24 0.4× 44 0.8× 17 0.4× 28 304
Wentao Liu 32 0.3× 106 1.0× 46 0.7× 21 0.4× 26 0.6× 28 310
Yang Xu 99 1.0× 60 0.6× 73 1.2× 14 0.2× 64 1.4× 28 295
Somsak Choomchuay 132 1.3× 134 1.3× 33 0.5× 40 0.7× 39 0.8× 60 348
Dathar Abas Hasan 66 0.6× 53 0.5× 11 0.2× 40 0.7× 48 1.0× 23 303
T. Jaya 60 0.6× 51 0.5× 41 0.7× 53 0.9× 66 1.4× 55 260
Jiaming Hong 41 0.4× 39 0.4× 72 1.1× 21 0.4× 12 0.3× 26 275
Amrita Roy Chowdhury 153 1.5× 61 0.6× 32 0.5× 26 0.4× 59 1.3× 30 307
Sabyasachi Mukhopadhyay 90 0.9× 84 0.8× 24 0.4× 26 0.4× 8 0.2× 45 344
Chang Liu 65 0.6× 44 0.4× 26 0.4× 72 1.2× 6 0.1× 21 314

Countries citing papers authored by Taeoh Kim

Since Specialization
Citations

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

Fields of papers citing papers by Taeoh Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeoh Kim

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