K. Jo Min

52 papers receiving 406 citations

Peers

K. Jo Min
Comparison fields: 5 of 64
  • Management Information Systems 142
  • Strategy and Management 166
  • Finance 108
  • Industrial and Manufacturing Engineering 59
  • Management Science and Operations Research 69
Replace Talat S. Genc with:
Talat S. Genc Canada
Wenbin Wang China
Nur Sunar United States
Peter Berling Sweden
Lorenzo Peccati Italy
Janne Kettunen United States
Fábio Sartori Piran Brazil
Li-Hsing Shih Taiwan
Fabio Sciancalepore Italy
Patrick Jaska United States
K. Jo Min relative to Talat S. Genc Canada Talat S. Genc's profile →
Citations per field
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Talat S. Genc · 1×
Citations per year

Countries citing papers authored by K. Jo Min

Since Specialization
Citations

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

Fields of papers citing papers by K. Jo Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Jo Min. 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 K. Jo Min. The network helps show where K. Jo Min may publish in the future.

Co-authors

The 18 scholars most cited alongside K. Jo Min, 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 K. Jo Min Line = papers co-authored together K. Jo Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200640
2 200431
3 201327
4 199826
5 200725
6 201223
7 201422
8 201218
9 200118
10 199915
11 199512
12 200212
13 200012
14
Determining Multi-Criteria Priorities in the Planning of Electric Power Generation: The Development of an Analytic Hierarchy Process for Using the Opinions of Experts
200410
15 199410
16
Estimation of Geometric Brownian Motion Parameters for Oil Price Analysis
20179
17 19988
18 20147
19 19927
20 19927

About K. Jo Min

K. Jo Min is a scholar working on Economics and Econometrics, Management Information Systems, Finance, Electrical and Electronic Engineering and Strategy and Management, having authored 55 papers that have together received 427 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (19 papers), Capital Investment and Risk Analysis (18 papers), Climate Change Policy and Economics (16 papers), Electric Power System Optimization (16 papers), Sustainable Supply Chain Management (12 papers), Smart Grid Energy Management (5 papers), Mechatronics Education and Applications (4 papers) and Engineering Education and Curriculum Development (4 papers). The work is most often cited by research in Management Information Systems (142 citations), Strategy and Management (166 citations), Finance (108 citations), Industrial and Manufacturing Engineering (59 citations) and Management Science and Operations Research (69 citations). K. Jo Min has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Wenbo Shi, Ming-Jong Yao, John Jackman, Jie Li, Sung Chul Kim, Shmuel S. Oren, Zhuoyi Zhao, Cheng-Kang Chen, Cameron A. MacKenzie and Joseph A. Doucet. Their work appears in journals such as The Engineering Economist, IEEE Transactions on Engineering Management, Computers & Operations Research, Operations Research Letters and International Journal of Systems Science.

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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