Jaesik Choi

About

Jaesik Choi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jaesik Choi has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 12 papers in Control and Systems Engineering. Recurrent topics in Jaesik Choi’s work include Robotic Path Planning Algorithms (10 papers), Time Series Analysis and Forecasting (7 papers) and Bayesian Modeling and Causal Inference (7 papers). Jaesik Choi is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Time Series Analysis and Forecasting (7 papers) and Bayesian Modeling and Causal Inference (7 papers). Jaesik Choi collaborates with scholars based in South Korea, United States and Canada. Jaesik Choi's co-authors include Simone Stumpf, Mark Stefik, Guang‐Zhong Yang, David Gunning, Tim Miller, Eyal Amir, Chang‐Jin Jeon, Albert J. Valocchi, Tianfang Xu and Lior Wolf and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Jaesik Choi i

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Fields of papers citing papers by Jaesik Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jaesik Choi

Since Specialization

Citations

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

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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