Youngseek Kim

1.3k total citations
46 papers, 865 citations indexed

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 46 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 27 papers in Information Systems and Management and 23 papers in Management Science and Operations Research. Recurrent topics in Youngseek Kim's work include Research Data Management Practices (26 papers), Data Quality and Management (21 papers) and Scientific Computing and Data Management (17 papers). Youngseek Kim is often cited by papers focused on Research Data Management Practices (26 papers), Data Quality and Management (21 papers) and Scientific Computing and Data Management (17 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, Soohyung Joo, Seungahn Nah, C. Sean Burns, Sujin Kim and Sujin Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Information Management and Journal of the Association for Information Systems.

In The Last Decade

Youngseek Kim

44 papers receiving 804 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Youngseek Kim United States 16 594 493 383 126 116 46 865
Ayoung Yoon United States 14 424 0.7× 284 0.6× 304 0.8× 83 0.7× 88 0.8× 41 582
Sheila Corrall United Kingdom 17 588 1.0× 166 0.3× 104 0.3× 41 0.3× 49 0.4× 70 999
Christian Gumpenberger Austria 19 337 0.6× 160 0.3× 74 0.2× 63 0.5× 37 0.3× 42 783
Jingfeng Xia United States 20 435 0.7× 330 0.7× 44 0.1× 70 0.6× 36 0.3× 55 1.2k
Martha Kyrillidou United States 18 378 0.6× 260 0.5× 34 0.1× 104 0.8× 39 0.3× 83 835
Muhammad Rafiq Pakistan 17 303 0.5× 168 0.3× 32 0.1× 118 0.9× 57 0.5× 99 827
Muhammad Rafi China 12 160 0.3× 124 0.3× 45 0.1× 62 0.5× 91 0.8× 46 443
Chien Hsiang Liao Taiwan 10 66 0.1× 99 0.2× 77 0.2× 170 1.3× 30 0.3× 25 712
Karlene Cousins United States 12 137 0.2× 115 0.2× 35 0.1× 266 2.1× 97 0.8× 24 619
Renata Gonçalves Curty United States 8 149 0.3× 321 0.7× 87 0.2× 284 2.3× 27 0.2× 26 491

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).

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.

Co-authorship network of co-authors of Youngseek Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Youngseek Kim. A scholar is included among the top collaborators of Youngseek Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Youngseek Kim. Youngseek Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Youngseek. (2022). Data sharing by biologists: A comparative study of genome sequence data and lab experiment data. Library & Information Science Research. 44(1). 101139–101139.
2.
Kim, Youngseek. (2021). A study of the roles of metadata standard and data repository in science, technology, engineering and mathematics researchers' data reuse. Online Information Review. 45(7). 1306–1321. 8 indexed citations
3.
Kim, Youngseek. (2021). A study of the determinants of psychologists' data sharing and open data badge adoption. Learned Publishing. 34(4). 499–509. 5 indexed citations
4.
Yoon, Ayoung & Youngseek Kim. (2020). The role of data-reuse experience in biological scientists’ data sharing: an empirical analysis. The Electronic Library. 38(1). 186–208. 13 indexed citations
5.
Ju, Boryung & Youngseek Kim. (2018). Conceptualizing research ethics on scientific data sharing: Evidence from biological scientists. Proceedings of the Association for Information Science and Technology. 55(1). 834–836.
6.
Kim, Youngseek, et al.. (2018). Disciplinary, Institutional, and Individual Factors Affecting Researchers' Depositing Articles in Institutional Repository: An Empirical Analysis. The Journal of Academic Librarianship. 44(6). 824–832. 3 indexed citations
7.
Kim, Youngseek & Ayoung Yoon. (2017). Scientists' data reuse behaviors: A multilevel analysis. Journal of the Association for Information Science and Technology. 68(12). 2709–2719. 52 indexed citations
8.
Kim, Youngseek & C. Sean Burns. (2015). Norms of data sharing in biological sciences: The roles of metadata, data repository, and journal and funding requirements. Journal of Information Science. 42(2). 230–245. 32 indexed citations
9.
Curty, Renata Gonçalves, Youngseek Kim, & Jian Qin. (2013). What have Scientists Planned for Data Sharing and Reuse? A Content Analysis of NSF Awardees’ Data Management Plans. Syracuse University Libraries (Syracuse University). 2 indexed citations
10.
Kim, Youngseek & Jeffrey M. Stanton. (2013). Institutional and individual influences on scientists' data sharing behaviors: A multilevel analysis. Proceedings of the American Society for Information Science and Technology. 50(1). 1–14. 15 indexed citations
11.
Kim, Youngseek. (2012). Factors influencing STEM researchers' data sharing behaviors. Proceedings of the American Society for Information Science and Technology. 49(1). 1–5. 2 indexed citations
12.
Kim, Youngseek & Jeffrey M. Stanton. (2012). Institutional and Individual Influences on Scientists' Data Sharing Practices. 3(1). 47–56. 49 indexed citations
13.
Stanton, Jeffrey M., Youngseek Kim, Megan Oakleaf, et al.. (2011). Education for eScience Professionals: Job Analysis, Curriculum Guidance, and Program Considerations. Journal of Education for Library and Information Science. 52(2). 79–94. 22 indexed citations
14.
Kim, Youngseek, et al.. (2011). Education for eScience Professionals: Integrating Data Curation and Cyberinfrastructure. SHILAP Revista de lepidopterología. 6(1). 125–138. 31 indexed citations
15.
Kim, Youngseek & Ping Zhang. (2010). Continued use of technology: Combining controlled and automatic processes. International Conference on Information Systems. 214. 5 indexed citations
16.
Zhang, Ping & Youngseek Kim. (2010). Continued Use of Technology: Combining Controlled and Automatic Processes. SSRN Electronic Journal. 4 indexed citations
17.
Kim, Youngseek, et al.. (2010). Factors Influencing the Adoption of Social Media in the Perspective of Information Needs. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 12 indexed citations
18.
Kim, Youngseek, et al.. (2009). Obama Tweeting and Twitted: Sotomayor’s Nomination and Health Care Reform. SSRN Electronic Journal. 2 indexed citations
19.
Kim, Youngseek & Ping Zhang. (2009). Individual Users’ Adoption of Smart Phone Services. 7 indexed citations
20.
Zhang, Ping & Youngseek Kim. (2008). WEB ADVERTISING: WHAT DO WE KNOW ABOUT ITS ACCEPTANCE AND IMPACTS? - A META-ANALYSIS OF THE LITERATURE. Journal of the Association for Information Systems. 246. 3 indexed citations

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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