Ta‐Wei Kao

658 citations
17 papers · 528 · h-index 10

Impact in

Papers in

Ta‐Wei Kao

16 papers receiving 506 citations

Peers

Ta‐Wei Kao
Comparison fields: 5 of 103
  • Pharmacology 122
  • Biochemistry 65
  • Management Information Systems 103
  • Marketing 84
  • Strategy and Management 118
Replace Nazim Uddin Ahmed with:
Nazim Uddin Ahmed Bangladesh
Hamid Reza Rasekh Iran
Eliana Alessandra Minelli Italy
Su Jin Yang South Korea
Chun‐Nan Lin Taiwan
Laura Maleci Bini Italy
Montserrat Boronat-Navarro Spain
Lirong Chen China
Gaurav Gupta India
Xiaodan Dong China
Ta‐Wei Kao relative to Nazim Uddin Ahmed Bangladesh Nazim Uddin Ahmed's profile →
Citations per field
00.5×2×2.9×
Nazim Uddin Ahmed · 1×
Citations per year

Countries citing papers authored by Ta‐Wei Kao

Since Specialization
Citations

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

Fields of papers citing papers by Ta‐Wei Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ta‐Wei Kao. 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 Ta‐Wei Kao. The network helps show where Ta‐Wei Kao may publish in the future.

Co-authors

The 19 scholars most cited alongside Ta‐Wei Kao, 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 Ta‐Wei Kao Line = papers co-authored together Ta‐Wei Kao links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2000191
2 201567
3 201962
4 201642
5 201941
6 201431
7 202124
8 201920
9 202212
10 201810
11 20167
12 20245
13 20235
14 20224
15 20173
16 20193
17 20241

About Ta‐Wei Kao

Ta‐Wei Kao is a scholar working on Management Information Systems, Strategy and Management, Economics and Econometrics, Organizational Behavior and Human Resource Management and Management Science and Operations Research, having authored 17 papers that have together received 528 indexed citations. Recurring topics across this work include Supply Chain Resilience and Risk Management (5 papers), Quality and Supply Management (4 papers), Outsourcing and Supply Chain Management (4 papers), Innovation and Knowledge Management (3 papers), Firm Innovation and Growth (3 papers), Customer Service Quality and Loyalty (2 papers), Microfinance and Financial Inclusion (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Pharmacology (122 citations), Biochemistry (65 citations), Management Information Systems (103 citations), Marketing (84 citations) and Strategy and Management (118 citations). Ta‐Wei Kao has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Winston T. Lin, Hung‐Chung Su, Tsui‐Hwa Tseng, Chia-Yih Chu, Fen‐Pi Chou, Weilong Lin, Chau‐Jong Wang, Tawei Wang, Natalie Simpson and Kevin Wayne Linderman. Their work appears in journals such as European Journal of Operational Research, International Journal of Operations & Production Management, Journal of Management Information Systems, International Journal of Production Economics and Decision Support Systems.

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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