Changsoo Song

23 total papers · 458 total citations
11 papers, 303 citations indexed

About

Changsoo Song is a scholar working on Information Systems and Management, Political Science and International Relations and Communication. According to data from OpenAlex, Changsoo Song has authored 11 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems and Management, 3 papers in Political Science and International Relations and 2 papers in Communication. Recurrent topics in Changsoo Song's work include Technology Adoption and User Behaviour (5 papers), E-Government and Public Services (3 papers) and Social Media and Politics (2 papers). Changsoo Song is often cited by papers focused on Technology Adoption and User Behaviour (5 papers), E-Government and Public Services (3 papers) and Social Media and Politics (2 papers). Changsoo Song collaborates with scholars based in United States and South Korea. Changsoo Song's co-authors include Jooho Lee, Sajda Qureshi, Karin van Dijk, Mehruz Kamal, Michelle Howell, Rebecca Roston, Kenneth A. Kriz, Brian A. Couch, Christine S. Booth and Tomáš Helikar and has published in prestigious journals such as Journal of the Association for Information Systems, Government Information Quarterly and CBE—Life Sciences Education.

In The Last Decade

Changsoo Song

8 papers receiving 285 citations

Author Peers

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

Author						Papers	Cites
Changsoo Song	170	128	125	51	35	11	303
Seulki Lee-Geiller	140 0.8×	57 0.4×	99 0.8×	68 1.3×	50 1.4×	14	333
Michael J. Magro	114 0.7×	154 1.2×	142 1.1×	36 0.7×	35 1.0×	9	303
James K. Scott	165 1.0×	118 0.9×	65 0.5×	23 0.5×	31 0.9×	13	254
Todd M. La Porte	212 1.2×	90 0.7×	54 0.4×	38 0.7×	37 1.1×	8	258
Ali Pirannejad	183 1.1×	107 0.8×	74 0.6×	12 0.2×	58 1.7×	9	270
James D. McNiven	190 1.1×	45 0.4×	73 0.6×	40 0.8×	56 1.6×	7	278
David Osimo	118 0.7×	94 0.7×	59 0.5×	32 0.6×	34 1.0×	17	266
Chee Wee Tan	117 0.7×	51 0.4×	70 0.6×	123 2.4×	32 0.9×	9	301
Julianne Mahler	86 0.5×	41 0.3×	103 0.8×	22 0.4×	13 0.4×	19	278
Anupriya Khan	113 0.7×	42 0.3×	103 0.8×	47 0.9×	33 0.9×	13	289

Countries citing papers authored by Changsoo Song

Since Specialization

Citations

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

Fields of papers citing papers by Changsoo Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsoo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Changsoo Song. A scholar is included among the top collaborators of Changsoo Song 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 Changsoo Song. Changsoo Song 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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