Ki‐Hyun Um

947 citations
33 papers · 707 · h-index 13

Impact in

Papers in

Ki‐Hyun Um

29 papers receiving 676 citations

Peers

Ki‐Hyun Um
Comparison fields: 5 of 68
  • Strategy and Management 386
  • Management Information Systems 219
  • Business and International Management 36
  • Marketing 141
  • Organizational Behavior and Human Resource Management 136
Replace Claudia Rebolledo with:
Claudia Rebolledo Canada
Kaitlin D. Wowak United States
Vanesa Barrales‐Molina Spain
Andi Smart United Kingdom
Mario Ferrer Saudi Arabia
Desirée Knoppen Spain
S.C.J.J. Kortmann Netherlands
Kamel Fantazy Canada
Pradeep Gopalakrishna United States
Elias Kyriazis Australia
Ki‐Hyun Um relative to Claudia Rebolledo Canada Claudia Rebolledo's profile →
Citations per field
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Claudia Rebolledo · 1×
Citations per year

Countries citing papers authored by Ki‐Hyun Um

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Hyun Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Hyun Um. 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 Ki‐Hyun Um. The network helps show where Ki‐Hyun Um may publish in the future.

Co-authors

The 20 scholars most cited alongside Ki‐Hyun Um, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ki‐Hyun Um Line = papers co-authored together Ki‐Hyun Um links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 202091
3 201888
4 201856
5 202235
6 202030
7 201825
8 202224
9 201419
10 202218
11 201517
12 202416
13 201916
14 202212
15 202311
16 202111
17 20219
18 20229
19 20248
20 20216

About Ki‐Hyun Um

Ki‐Hyun Um is a scholar working on Strategy and Management, Management Information Systems, Organizational Behavior and Human Resource Management, Marketing and Management of Technology and Innovation, having authored 33 papers that have together received 707 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (12 papers), Customer Service Quality and Loyalty (10 papers), Quality and Supply Management (9 papers), Innovation and Knowledge Management (9 papers), Environmental Sustainability in Business (6 papers), Outsourcing and Supply Chain Management (4 papers), Digital Transformation in Industry (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Strategy and Management (386 citations), Management Information Systems (219 citations), Business and International Management (36 citations), Marketing (141 citations) and Organizational Behavior and Human Resource Management (136 citations). Ki‐Hyun Um has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Sang-Man Kim, Jae‐Young Oh, Antonio K.W. Lau, Mingu Kang, Kihyun Park, Mark Yang, Yingying Fang, Deyu Zhong, James Jungbae Roh and Yongyi Shou. Their work appears in journals such as Journal of Manufacturing Technology Management, Total Quality Management & Business Excellence, International Journal of Operations & Production Management, Journal of Business and Industrial Marketing and International Journal of Project Management.

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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