Daiki Min

38 papers receiving 660 citations

Peers

Daiki Min
Comparison fields: 5 of 74
  • Emergency Medical Services 328
  • Emergency Medicine 149
  • Management Science and Operations Research 205
  • Management Information Systems 69
  • Economics and Econometrics 175
Replace Xiuli Qu with:
Xiuli Qu United States
Brigitte Werners Germany
Zied Jemaï France
Hainan Guo China
Alain Guinet France
Adrián Ramírez–Nafarrate Mexico
Aïda Jebali France
Reena Yoogalingam Canada
Davood Golmohammadi United States
Ira Horowitz United States
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Citations per year

Countries citing papers authored by Daiki Min

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Daiki 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 Daiki Min Line = papers co-authored together Daiki Min links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010191
2 200988
3 201777
4 202039
5 201337
6 201729
7 202327
8 201325
9 202025
10 201324
11 201718
12 200914
13 202210
14 201810
15 20206
16 20096
17 20236
18 20155
19 20215
20 20154

About Daiki Min

Daiki Min is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering, Management Information Systems, Economics and Econometrics and Emergency Medical Services, having authored 43 papers that have together received 680 indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (8 papers), Supply Chain and Inventory Management (7 papers), Advanced Queuing Theory Analysis (5 papers), Sustainable Supply Chain Management (5 papers), Integrated Energy Systems Optimization (4 papers), Hospital Admissions and Outcomes (3 papers), Electric Power System Optimization (3 papers) and Risk and Portfolio Optimization (3 papers). The work is most often cited by research in Emergency Medical Services (328 citations), Emergency Medicine (149 citations), Management Science and Operations Research (205 citations), Management Information Systems (69 citations) and Economics and Econometrics (175 citations). Daiki Min has collaborated with scholars based in South Korea, United States and Latvia. Frequent co-authors include Yuehwern Yih, Jong-hyun Ryu, Dong Gu Choi, Jae-Woo Chung, Yuncheol Kang, Kwanghun Chung, Eungab Kim, Jiyoung Oh and Seoin Baek. Their work appears in journals such as Computers & Industrial Engineering, Sustainability, Energy, Computers & Operations Research and Journal of the Operational Research Society.

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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