DaeEun Kim

63 papers and 1.3k indexed citations i.

About

DaeEun Kim is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Aerospace Engineering. According to data from OpenAlex, DaeEun Kim has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Cognitive Neuroscience and 15 papers in Aerospace Engineering. Recurrent topics in DaeEun Kim’s work include Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). DaeEun Kim is often cited by papers focused on Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). DaeEun Kim collaborates with scholars based in South Korea, Germany and United Kingdom. DaeEun Kim's co-authors include Jaehong Lee, Taeyoon Lee, Hyun‐Han Kwon, Seulgee Kim, Sang-Geun Lee, Jae‐Kang Kim, Dae‐Eun Kim, Ralf Möller, S.A. Al-Sayari and Hassan Algadi and has published in prestigious journals such as ACS Nano, Scientific Reports and Small.

In The Last Decade

Co-authorship network of co-authors of DaeEun Kim i

Fields of papers citing papers by DaeEun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by DaeEun Kim

Since Specialization
Citations

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