Binh Do

23 papers receiving 299 citations

Peers

Binh Do
Comparison fields: 5 of 71
  • Marketing 61
  • Business and International Management 13
  • Strategy and Management 66
  • Artificial Intelligence 100
  • Atomic and Molecular Physics, and Optics 83
Replace Petr Petera with:
Petr Petera Czechia
Lukas Theis Germany
A. Khurana United States
Rongxin Chen China
Miguel Torres Preto Portugal
Morten Lund Denmark
Peng Liang China
Klaus Marhold Austria
Feng Mei China
Binh Do relative to Petr Petera Czechia Petr Petera's profile →
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Citations per year

Countries citing papers authored by Binh Do

Since Specialization
Citations

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

Fields of papers citing papers by Binh Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Binh Do, 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 Binh Do Line = papers co-authored together Binh Do links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200589
2 202146
3 202042
4 202418
5 198715
6 202214
7 200713
8 201912
9 199810
10 200810
11 20227
12
Assessing competitiveness of foreign and local supermarket chains in Vietnamese market by using Fuzzy TOPSIS method
20116
13 20226
14 20244
15 20064
16 19994
17 20243
18 20033
19 20212
20 20251

About Binh Do

Binh Do is a scholar working on Strategy and Management, Atomic and Molecular Physics, and Optics, Marketing, Economics and Econometrics and Electrical and Electronic Engineering, having authored 26 papers that have together received 312 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (4 papers), Environmental Sustainability in Business (4 papers), Customer Service Quality and Loyalty (3 papers), Quantum optics and atomic interactions (3 papers), Technology Adoption and User Behaviour (3 papers), Global trade and economics (3 papers), Laser-induced spectroscopy and plasma (2 papers) and Solid State Laser Technologies (2 papers). The work is most often cited by research in Marketing (61 citations), Business and International Management (13 citations), Strategy and Management (66 citations), Artificial Intelligence (100 citations) and Atomic and Molecular Physics, and Optics (83 citations). Binh Do has collaborated with scholars based in Vietnam, Australia and United States. Frequent co-authors include Ninh Nguyen, D. S. Elliott, Michael A. Fischbach, Benjamin M. Zwickl, Arthur K. Mills, Ephraim Fischbach, Clare D’Souza, S. L. Chuang, Mikko Söderlund and Ioannis Christodoulou. Their work appears in journals such as Physical Review A, Sustainability, Energies, Benchmarking An International Journal and Tourism and Hospitality Research.

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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