Chawis Boonmee

764 total citations · 1 hit paper
30 papers, 504 citations indexed

About

Chawis Boonmee is a scholar working on Organizational Behavior and Human Resource Management, Management Science and Operations Research and Transportation. According to data from OpenAlex, Chawis Boonmee has authored 30 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organizational Behavior and Human Resource Management, 6 papers in Management Science and Operations Research and 5 papers in Transportation. Recurrent topics in Chawis Boonmee's work include Facility Location and Emergency Management (11 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Municipal Solid Waste Management (4 papers). Chawis Boonmee is often cited by papers focused on Facility Location and Emergency Management (11 papers), Healthcare Operations and Scheduling Optimization (5 papers) and Municipal Solid Waste Management (4 papers). Chawis Boonmee collaborates with scholars based in Thailand, Japan and Poland. Chawis Boonmee's co-authors include Mikiharu Arimura, Takumi ASADA, Sarayut Gonwirat, Surajet Khonjun, Rapeepan Pitakaso, Thanatkij Srichok, Kanchana Sethanan, Paulina Golińska-Dawson and Imjai Chitapanarux and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Waste Management.

In The Last Decade

Chawis Boonmee

23 papers receiving 483 citations

Hit Papers

Facility location optimization model for emergency humani... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Facility location optimization model for emergency humanitarian logistics
    2017 301 citations Chawis Boonmee, Mikiharu Arimura et al. profile →

Peers

Chawis Boonmee
Vahid Akbari United Kingdom
Mikiharu Arimura Japan
Takumi ASADA Japan
Melih Çelik Türkiye
Lingpeng Meng China
Xuehong Gao China
Mustafa Alp Ertem Türkiye
Aruna Apte United States
Rojee Pradhananga Japan
Shahrooz Shahparvari Australia
Vahid Akbari United Kingdom
Chawis Boonmee
Citations per year, relative to Chawis Boonmee Chawis Boonmee (= 1×) peers Vahid Akbari

Countries citing papers authored by Chawis Boonmee

Since Specialization
Citations

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

Fields of papers citing papers by Chawis Boonmee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chawis Boonmee

This figure shows the co-authorship network connecting the top 25 collaborators of Chawis Boonmee. A scholar is included among the top collaborators of Chawis Boonmee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chawis Boonmee. Chawis Boonmee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Boonmee, Chawis, et al.. (2025). A fuzzy multi-criteria decision framework for community isolation center site selection to enhance public health resilience. Journal of Safety Science and Resilience. 7(1). 100227–100227.
2.
Khonjun, Surajet, et al.. (2025). Advanced AI techniques for root disease classification in dental X-rays using deep learning and metaheuristic approach. Intelligent Systems with Applications. 26. 200526–200526.
3.
Pitakaso, Rapeepan, Thanatkij Srichok, Surajet Khonjun, et al.. (2024). Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classification. Waste Management. 183. 87–100. 14 indexed citations
4.
5.
Pitakaso, Rapeepan, Thanatkij Srichok, Surajet Khonjun, et al.. (2024). Optimization-driven artificial intelligence-enhanced municipal waste classification system for disaster waste management. Engineering Applications of Artificial Intelligence. 133. 108614–108614. 22 indexed citations
6.
Pitakaso, Rapeepan, et al.. (2024). Multi-objective sustainability tourist trip design: An innovative approach for balancing tourists' preferences with key sustainability considerations. Journal of Cleaner Production. 449. 141486–141486. 9 indexed citations
7.
Pitakaso, Rapeepan, et al.. (2024). Optimizing safe and sustainable public transit for wellness tourism: Southeast Asian case studies. Journal of Cleaner Production. 475. 143656–143656. 2 indexed citations
8.
Boonmee, Chawis, et al.. (2023). Temporary safety zone site selection during haze Pollution: An integrated approach with FAHP and FTOPSIS. Expert Systems with Applications. 245. 123002–123002. 8 indexed citations
9.
Pitakaso, Rapeepan, et al.. (2023). A Mobile Solution for Enhancing Tourist Safety in Warm and Humid Destinations. Applied Sciences. 13(15). 9027–9027. 1 indexed citations
10.
Boonmee, Chawis, et al.. (2023). Artificial Bee Colony Algorithm with Pareto-Based Approach for Multi-Objective Three-Dimensional Single Container Loading Problems. Applied Sciences. 13(11). 6601–6601. 4 indexed citations
11.
Boonmee, Chawis, et al.. (2023). Multi-objective two-stage stochastic optimization model for post-disaster waste management. Production Engineering Archives. 29(1). 58–68. 8 indexed citations
12.
13.
Sethanan, Kanchana, et al.. (2023). Double AMIS-ensemble deep learning for skin cancer classification. Expert Systems with Applications. 234. 121047–121047. 34 indexed citations
14.
Boonmee, Chawis, et al.. (2022). Layout design of outpatient department: simulation study and implementation. Logforum. 18(2). 185–196. 3 indexed citations
15.
Boonmee, Chawis, et al.. (2022). The Multi-Period Surgical Scheduling with Capacity Constraint: A Mathematical Modelling Approach. 1(2). 120–125. 1 indexed citations
16.
Boonmee, Chawis, et al.. (2022). Mixed-Integer Linear Programming Model for Safe Zone Selection during Air Pollution Disaster. 2022 International Conference on Decision Aid Sciences and Applications (DASA). 1117–1121. 2 indexed citations
17.
Boonmee, Chawis, et al.. (2021). Post-disaster waste management with carbon tax policy consideration. Energy Reports. 7. 89–97. 11 indexed citations
18.
Boonmee, Chawis, et al.. (2021). The Application of Revenue Management in Chilled Storage Area Allocation: Simulation Study. Chiang Mai University Journal of Natural Sciences. 20(2).
19.
Boonmee, Chawis, Takumi ASADA, & Mikiharu Arimura. (2017). A Bi-Criteria Optimization Model for Hierarchical Evacuation and Shelter Site Selection under Uncertainty of Flood Events. Journal of the Eastern Asia Society for transportation studies. 12. 251–268. 6 indexed citations
20.
ASADA, Takumi, et al.. (2016). BUILT ON THE LOCAL DISASTER PREVENTION EDUCATION TOOL USING EVACUATION DRILL PROBE DATA. Journal of Japan Society of Civil Engineers Ser D3 (Infrastructure Planning and Management). 72(5). I_331–I_339.

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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