Orawit Thinnukool

1.2k total citations
60 papers, 810 citations indexed

About

Orawit Thinnukool is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Orawit Thinnukool has authored 60 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Orawit Thinnukool's work include IoT and Edge/Fog Computing (7 papers), Mobile Health and mHealth Applications (7 papers) and Blockchain Technology Applications and Security (6 papers). Orawit Thinnukool is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Mobile Health and mHealth Applications (7 papers) and Blockchain Technology Applications and Security (6 papers). Orawit Thinnukool collaborates with scholars based in Thailand, United Kingdom and Pakistan. Orawit Thinnukool's co-authors include Mazin Abed Mohammed, Seifedine Kadry, Pattaraporn Khuwuthyakorn, Arnab Majumdar, Abdullah Lakhan, Harish Chandra Arora, Krishna Kumar, Aman Kumar, Karrar Hameed Abdulkareem and Nishant Raj Kapoor and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Orawit Thinnukool

53 papers receiving 781 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Orawit Thinnukool 162 155 152 110 109 60 810
Mohammed Alzahrani 310 1.9× 115 0.7× 121 0.8× 15 0.1× 100 0.9× 59 1.0k
Ahmed J. Aljaaf 294 1.8× 101 0.7× 75 0.5× 42 0.4× 84 0.8× 34 924
Jamila Mustafina 265 1.6× 118 0.8× 80 0.5× 40 0.4× 83 0.8× 64 900
Sumit Kumar 202 1.2× 71 0.5× 138 0.9× 18 0.2× 137 1.3× 56 768
H M Dipu Kabir 288 1.8× 120 0.8× 148 1.0× 54 0.5× 115 1.1× 66 911
Daeyoung Kim 159 1.0× 192 1.2× 400 2.6× 20 0.2× 189 1.7× 95 961
Hrudaya Kumar Tripathy 222 1.4× 97 0.6× 100 0.7× 11 0.1× 213 2.0× 69 888
Sushruta Mishra 288 1.8× 149 1.0× 140 0.9× 9 0.1× 155 1.4× 87 1.1k
Theodora S. Brisimi 587 3.6× 90 0.6× 78 0.5× 27 0.2× 39 0.4× 11 800
Mohamed Alloghani 259 1.6× 96 0.6× 76 0.5× 18 0.2× 73 0.7× 30 817

Countries citing papers authored by Orawit Thinnukool

Since Specialization
Citations

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

Fields of papers citing papers by Orawit Thinnukool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Orawit Thinnukool

This figure shows the co-authorship network connecting the top 25 collaborators of Orawit Thinnukool. A scholar is included among the top collaborators of Orawit Thinnukool 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 Orawit Thinnukool. Orawit Thinnukool 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.
Khuwuthyakorn, Pattaraporn, Abdullah Lakhan, Arnab Majumdar, & Orawit Thinnukool. (2025). Blockchain-Enabled Self-Autonomous Intelligent Transport System for Drone Task Workflow in Edge Cloud Networks. Algorithms. 18(8). 530–530. 1 indexed citations
2.
3.
Thinnukool, Orawit, et al.. (2024). An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand. BMC Medical Informatics and Decision Making. 24(1). 1 indexed citations
4.
Lakhan, Abdullah, et al.. (2024). IoT workload offloading efficient intelligent transport system in federated ACNN integrated cooperated edge-cloud networks. Journal of Cloud Computing Advances Systems and Applications. 13(1). 7 indexed citations
5.
Thinnukool, Orawit, et al.. (2024). Understanding the multidimensional role of medical travel facilitators: A study on competencies and a proposed model. Heliyon. 10(9). e30479–e30479. 1 indexed citations
6.
Lakhan, Abdullah, et al.. (2023). RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application. Sensors. 23(11). 5256–5256. 10 indexed citations
7.
8.
Lakhan, Abdullah, Ali Hassan Sodhro, Arnab Majumdar, Pattaraporn Khuwuthyakorn, & Orawit Thinnukool. (2022). A Lightweight Secure Adaptive Approach for Internet-of-Medical-Things Healthcare Applications in Edge-Cloud-Based Networks. Sensors. 22(6). 2379–2379. 26 indexed citations
9.
Alyasseri, Zaid Abdi Alkareem, Osama Ahmad Alomari, João Paulo Papa, et al.. (2022). EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm. Sensors. 22(6). 2092–2092. 14 indexed citations
10.
Lakhan, Abdullah, et al.. (2022). Blockchain Socket Factories with RMI-Enabled Framework for Fine-Grained Healthcare Applications. Sensors. 22(15). 5833–5833. 6 indexed citations
11.
Lakhan, Abdullah, et al.. (2022). Potent Blockchain-Enabled Socket RPC Internet of Healthcare Things (IoHT) Framework for Medical Enterprises. Sensors. 22(12). 4346–4346. 10 indexed citations
12.
Ali, Syed Farooq, et al.. (2022). Deep Learning Approach Based on Residual Neural Network and SVM Classifier for Driver’s Distraction Detection. Applied Sciences. 12(13). 6626–6626. 16 indexed citations
13.
Awan, Mazhar Javed, et al.. (2022). Performance Analysis for COVID-19 Diagnosis Using Custom and State-of-the-Art Deep Learning Models. Applied Sciences. 12(13). 6364–6364. 22 indexed citations
14.
Khan, Muhammad Attique, Muhammad Sharif, Majed Alhaisoni, et al.. (2022). Two-Stream Deep Learning Architecture-Based Human Action Recognition. Computers, materials & continua/Computers, materials & continua (Print). 74(3). 5931–5949. 7 indexed citations
15.
Lakhan, Abdullah, Jin Li, Ali Hassan Sodhro, et al.. (2021). Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud. Electronics. 10(22). 2797–2797. 24 indexed citations
16.
Khuwuthyakorn, Pattaraporn, et al.. (2021). Pharmaceutical mobile application for visually-impaired people in Thailand: development and implementation. BMC Medical Informatics and Decision Making. 21(1). 217–217. 17 indexed citations
17.
Lakhan, Abdullah, Mazin Abed Mohammed, Ahmed Noori Rashid, et al.. (2021). Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System. Sensors. 21(12). 4093–4093. 77 indexed citations
18.
Thinnukool, Orawit, et al.. (2021). Patient triage system for supporting the operation of dispatch centres and rescue teams. BMC Medical Informatics and Decision Making. 21(1). 68–68. 16 indexed citations
19.
Thinnukool, Orawit, et al.. (2019). An exploratory study of digital workforce competency in Thailand. Heliyon. 5(5). e01723–e01723. 38 indexed citations
20.
Thinnukool, Orawit, et al.. (2014). Analyzing land use change using grid-digitized method. SHILAP Revista de lepidopterología.

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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