Youngseek Kim

42 papers and 668 indexed citations i.

About

Youngseek Kim is a scholar working on Information Systems, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Youngseek Kim has authored 42 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 23 papers in Information Systems and Management and 21 papers in Management Science and Operations Research. Recurrent topics in Youngseek Kim’s work include Research Data Management Practices (24 papers), Data Quality and Management (19 papers) and Scientific Computing and Data Management (15 papers). Youngseek Kim is often cited by papers focused on Research Data Management Practices (24 papers), Data Quality and Management (19 papers) and Scientific Computing and Data Management (15 papers). Youngseek Kim collaborates with scholars based in United States, South Korea and Canada. Youngseek Kim's co-authors include Jeffrey M. Stanton, Ayoung Yoon, Melissa Adler, Ping Zhang, Kevin Crowston, Seungahn Nah, Soohyung Joo, C. Sean Burns, Sujin Kim and Sujin Kim and has published in prestigious journals such as International Journal of Information Management, Information Processing & Management and Journal of Documentation.

In The Last Decade

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

Fields of papers citing papers by Youngseek Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Youngseek Kim

Since Specialization
Citations

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