Su‐Young Kim

65 total papers · 894 total citations
29 papers, 691 citations indexed

About

Su‐Young Kim is a scholar working on Information Systems, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Su‐Young Kim has authored 29 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Sociology and Political Science and 5 papers in Computer Networks and Communications. Recurrent topics in Su‐Young Kim's work include Technology and Data Analysis (4 papers), Behavioral Health and Interventions (3 papers) and Education and Learning Interventions (3 papers). Su‐Young Kim is often cited by papers focused on Technology and Data Analysis (4 papers), Behavioral Health and Interventions (3 papers) and Education and Learning Interventions (3 papers). Su‐Young Kim collaborates with scholars based in South Korea, United States and Canada. Su‐Young Kim's co-authors include Stevens S. Smith, Danielle E. McCarthy, Gary A. Giovino, Megan E. Piper, Suzanne M. Colby, Kenneth A. Perkins, Suchitra Krishnan‐Sarin, Andrew Hyland, Dorothy Hatsukami and David V. Conti and has published in prestigious journals such as Sustainability, Alcoholism Clinical and Experimental Research and Structural Equation Modeling A Multidisciplinary Journal.

In The Last Decade

Su‐Young Kim

18 papers receiving 652 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Su‐Young Kim	436	226	164	129	94	29	691
Gayle M. Boyd	401 0.9×	134 0.6×	141 0.9×	96 0.7×	109 1.2×	23	750
Joanna M. Streck	483 1.1×	195 0.9×	176 1.1×	92 0.7×	107 1.1×	55	710
F Coste	339 0.8×	163 0.7×	157 1.0×	74 0.6×	92 1.0×	23	620
Lori Diemert	492 1.1×	159 0.7×	218 1.3×	53 0.4×	146 1.6×	34	766
Taneisha S. Scheuermann	479 1.1×	156 0.7×	146 0.9×	50 0.4×	130 1.4×	45	681
Jeff S. Priest	395 0.9×	172 0.8×	246 1.5×	52 0.4×	109 1.2×	27	685
Jerome L. Schwartz	451 1.0×	168 0.7×	142 0.9×	39 0.3×	138 1.5×	30	739
Michelle T. Bover Manderski	566 1.3×	193 0.9×	210 1.3×	59 0.5×	81 0.9×	54	781
Lauren R. Meltzer	587 1.3×	263 1.2×	233 1.4×	42 0.3×	61 0.6×	29	750
John Slade	558 1.3×	121 0.5×	224 1.4×	123 1.0×	96 1.0×	27	788

Countries citing papers authored by Su‐Young Kim

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Young Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su‐Young Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Young Kim. A scholar is included among the top collaborators of Su‐Young 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 Su‐Young Kim. Su‐Young Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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