Sue Yeon Syn

55 total papers · 1.0k total citations
38 papers, 700 citations indexed

About

Sue Yeon Syn is a scholar working on Information Systems, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Sue Yeon Syn has authored 38 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 14 papers in Sociology and Political Science and 13 papers in Information Systems and Management. Recurrent topics in Sue Yeon Syn's work include Health Literacy and Information Accessibility (8 papers), Personal Information Management and User Behavior (8 papers) and Semantic Web and Ontologies (6 papers). Sue Yeon Syn is often cited by papers focused on Health Literacy and Information Accessibility (8 papers), Personal Information Management and User Behavior (8 papers) and Semantic Web and Ontologies (6 papers). Sue Yeon Syn collaborates with scholars based in United States, South Korea and Colombia. Sue Yeon Syn's co-authors include Sanghee Oh, Jae‐wook Ahn, Jonathan Grady, Peter Brusilovsky, Daqing He, Sujin Kim, Michael B. Spring, Soojung Kim, Youngok Choi and Adam Jatowt and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Health Communication and Lecture notes in computer science.

In The Last Decade

Sue Yeon Syn

36 papers receiving 655 citations

Author Peers

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

Author						Papers	Cites
Sue Yeon Syn	375	199	185	144	110	38	700
Wei Jeng	191 0.5×	344 1.7×	157 0.8×	158 1.1×	154 1.4×	52	692
Frances Johnson	171 0.5×	177 0.9×	89 0.5×	136 0.9×	98 0.9×	47	654
Diane Rasmussen Pennington	172 0.5×	140 0.7×	115 0.6×	46 0.3×	79 0.7×	68	704
Jinghui Hou	445 1.2×	80 0.4×	115 0.6×	220 1.5×	71 0.6×	30	867
Saira Hanif Soroya	381 1.0×	117 0.6×	165 0.9×	155 1.1×	94 0.9×	50	770
Patrick Wilson	220 0.6×	293 1.5×	200 1.1×	98 0.7×	173 1.6×	41	844
Matthew J. Bietz	207 0.6×	239 1.2×	65 0.4×	210 1.5×	60 0.5×	32	766
Lisl Zach	269 0.7×	124 0.6×	284 1.5×	41 0.3×	54 0.5×	24	704
Dario Taraborelli	118 0.3×	242 1.2×	200 1.1×	73 0.5×	155 1.4×	25	746
Karin Hedström	185 0.5×	240 1.2×	61 0.3×	61 0.4×	51 0.5×	48	695

Countries citing papers authored by Sue Yeon Syn

Since Specialization

Citations

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

Fields of papers citing papers by Sue Yeon Syn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue Yeon Syn. 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 Sue Yeon Syn. The network helps show where Sue Yeon Syn may publish in the future.

Co-authorship network of co-authors of Sue Yeon Syn

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Yeon Syn. A scholar is included among the top collaborators of Sue Yeon Syn 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 Sue Yeon Syn. Sue Yeon Syn 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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