Jaechul Kim

18 total papers · 1.9k total citations
8 papers, 1.2k citations indexed

About

Jaechul Kim is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Jaechul Kim has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Jaechul Kim's work include Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers) and Robotics and Sensor-Based Localization (3 papers). Jaechul Kim is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Video Surveillance and Tracking Methods (3 papers) and Robotics and Sensor-Based Localization (3 papers). Jaechul Kim collaborates with scholars based in United States, United Kingdom and Germany. Jaechul Kim's co-authors include Kristen Grauman, Yong Jae Lee, Fei Sha and Ce Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009 IEEE Conference on Computer Vision and Pattern Recognition and Korean Association For Learner-Centered Curriculum And Instruction.

In The Last Decade

Jaechul Kim

8 papers receiving 1.1k citations

Hit Papers

Observe locally, infer gl... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jaechul Kim 952 694 326 165 74 8 1.2k
Weihao Gan 1.1k 1.2× 663 1.0× 106 0.3× 184 1.1× 74 1.0× 25 1.4k
Ramin Mehran 1.1k 1.2× 1.1k 1.7× 401 1.2× 177 1.1× 26 0.4× 8 1.5k
Arslan Basharat 649 0.7× 396 0.6× 145 0.4× 128 0.8× 52 0.7× 28 919
Moussa Reda Mansour 444 0.5× 1.1k 1.6× 593 1.8× 240 1.5× 9 0.1× 19 1.4k
Louis Kratz 1.0k 1.1× 590 0.9× 204 0.6× 116 0.7× 13 0.2× 8 1.2k
Chaohui Yu 358 0.4× 731 1.1× 138 0.4× 61 0.4× 38 0.5× 17 1.2k
Thomas H. Li 943 1.0× 387 0.6× 228 0.7× 123 0.7× 57 0.8× 35 1.3k
Juanyong Duan 399 0.4× 536 0.8× 230 0.7× 42 0.3× 20 0.3× 7 1.1k
Budhaditya Saha 500 0.5× 1.2k 1.7× 617 1.9× 254 1.5× 10 0.1× 19 1.5k
Xukan Ran 658 0.7× 378 0.5× 641 2.0× 63 0.4× 106 1.4× 9 1.4k

Countries citing papers authored by Jaechul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jaechul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaechul Kim

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