Kun Shin Im

29 total papers · 988 total citations
15 papers, 755 citations indexed

About

Kun Shin Im is a scholar working on Information Systems and Management, Management Information Systems and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Kun Shin Im has authored 15 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems and Management, 4 papers in Management Information Systems and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Kun Shin Im's work include Technology Adoption and User Behaviour (10 papers), Outsourcing and Supply Chain Management (4 papers) and Customer Service Quality and Loyalty (3 papers). Kun Shin Im is often cited by papers focused on Technology Adoption and User Behaviour (10 papers), Outsourcing and Supply Chain Management (4 papers) and Customer Service Quality and Loyalty (3 papers). Kun Shin Im collaborates with scholars based in South Korea, United States and Singapore. Kun Shin Im's co-authors include Varun Grover, Kevin E. Dow, Joo Yeon Park, Joon S. Kim, Kunsoo Han, Wonseok Oh, Mun Yong Yi, Alain Pinsonneault, James T. C. Teng and Jinwoo Kim and has published in prestigious journals such as MIS Quarterly, Technological Forecasting and Social Change and Information & Management.

In The Last Decade

Kun Shin Im

15 papers receiving 659 citations

Author Peers

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

Author						Papers	Cites
Kun Shin Im	297	235	142	137	131	15	755
Kevin E. Dow	290 1.0×	255 1.1×	118 0.8×	76 0.6×	198 1.5×	32	745
Rodney E. Smith	250 0.8×	262 1.1×	94 0.7×	70 0.5×	245 1.9×	14	684
Akif Lutfi Al-Khasawneh	152 0.5×	159 0.7×	261 1.8×	155 1.1×	87 0.7×	23	740
Stephanie L. Woerner	330 1.1×	255 1.1×	70 0.5×	136 1.0×	58 0.4×	17	757
Anwar Al-Gasaymeh	188 0.6×	198 0.8×	95 0.7×	65 0.5×	124 0.9×	27	796
D.H. Drury	206 0.7×	254 1.1×	214 1.5×	129 0.9×	96 0.7×	31	728
David C. Croson	348 1.2×	296 1.3×	87 0.6×	93 0.7×	94 0.7×	25	831
H.F.D. Hassink	383 1.3×	191 0.8×	146 1.0×	120 0.9×	376 2.9×	22	896
Hamza Alqudah	163 0.5×	157 0.7×	247 1.7×	95 0.7×	161 1.2×	28	801
Sridhar Ramamoorti	220 0.7×	150 0.6×	108 0.8×	181 1.3×	357 2.7×	36	843

Countries citing papers authored by Kun Shin Im

Since Specialization

Citations

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

Fields of papers citing papers by Kun Shin Im

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Shin Im. 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 Kun Shin Im. The network helps show where Kun Shin Im may publish in the future.

Co-authorship network of co-authors of Kun Shin Im

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Shin Im. A scholar is included among the top collaborators of Kun Shin Im 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 Kun Shin Im. Kun Shin Im 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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