Haejung Paik

6 papers and 522 indexed citations i.

About

Haejung Paik is a scholar working on Artificial Intelligence, Sociology and Political Science and Astronomy and Astrophysics. According to data from OpenAlex, Haejung Paik has authored 6 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Astronomy and Astrophysics. Recurrent topics in Haejung Paik’s work include Neural Networks and Applications (2 papers), School Choice and Performance (1 paper) and Advanced Differential Geometry Research (1 paper). Haejung Paik is often cited by papers focused on Neural Networks and Applications (2 papers), School Choice and Performance (1 paper) and Advanced Differential Geometry Research (1 paper). Haejung Paik collaborates with scholars based in United States. Haejung Paik's co-authors include George Comstock and Caren Marzban and has published in prestigious journals such as Communication Research, Human Communication Research and Sociological Methods & Research.

In The Last Decade

Co-authorship network of co-authors of Haejung Paik i

Fields of papers citing papers by Haejung Paik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haejung Paik

Since Specialization
Citations

This map shows the geographic impact of Haejung Paik'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 Haejung Paik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haejung Paik 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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2025