Naver (South Korea)

705 papers and 19.9k indexed citations i.

About

In recent decades, authors affiliated with Naver (South Korea) have published 705 papers, which have received a total of 19.9k indexed citations. Scholars at this organization have produced 337 papers in Artificial Intelligence, 298 papers in Computer Vision and Pattern Recognition and 84 papers in Signal Processing on the topics of Topic Modeling (123 papers), Multimodal Machine Learning Applications (103 papers) and Natural Language Processing Techniques (103 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (9.9k citations), Artificial Intelligence (9.3k citations) and Signal Processing (2.1k citations). Authors at Naver (South Korea) collaborate with scholars in South Korea, United States and Canada and have published in prestigious journals including Journal of Clinical Oncology, Bioinformatics and PLoS ONE. Some of Naver (South Korea)'s most productive authors include Jung-Woo Ha, Sangdoo Yun, Yunjey Choi, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Junsuk Choe, Jaewoo Kang, Jinhyuk Lee and Wonjin Yoon.

In The Last Decade

Fields of papers published by authors at Naver (South Korea)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Naver (South Korea) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Naver (South Korea) at the time of their publication.

Countries citing scholars working at Naver (South Korea)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Naver (South Korea). 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 papers produced at Naver (South Korea) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naver (South Korea) 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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