Kee-Eung Kim

42 papers and 747 indexed citations i.

About

Kee-Eung Kim is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Kee-Eung Kim has authored 42 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Management Science and Operations Research. Recurrent topics in Kee-Eung Kim’s work include Reinforcement Learning in Robotics (18 papers), Machine Learning and Algorithms (8 papers) and Speech and dialogue systems (6 papers). Kee-Eung Kim is often cited by papers focused on Reinforcement Learning in Robotics (18 papers), Machine Learning and Algorithms (8 papers) and Speech and dialogue systems (6 papers). Kee-Eung Kim collaborates with scholars based in South Korea, Canada and United States. Kee-Eung Kim's co-authors include Leslie Pack Kaelbling, Nicolas Meuleau, Leonid Peshkin, Xiaohui Liu, Nianyin Zeng, Yurong Li, Hong Zhang, Pascal Poupart, Zidong Wang and Thomas Dean and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Cybernetics and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Kee-Eung Kim i

Fields of papers citing papers by Kee-Eung Kim

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Kee-Eung Kim. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kee-Eung Kim may publish in the future.

Countries citing papers authored by Kee-Eung Kim

Since Specialization
Citations

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

Rankless by CCL
2025