Teeratorn Kadeethum
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 5%
- Mechanical Engineering
- Mechanics of Materials top 10%
- Ocean Engineering top 5%
- Co-authors
- Hamidreza M. NickNikolaos BouklasFrancesco BallarinThomas Martini JørgensenSaeed SalimzadehYoungsoo ChoiHongkyu YoonDaniel O’Malley
- Topics
- Model Reduction and Neural Networks (18 papers)Hydraulic Fracturing and Reservoir Analysis (16 papers)Drilling and Well Engineering (12 papers)
- Partner nations
- United StatesDenmarkAustralia
In The Last Decade
Teeratorn Kadeethum
42 papers receiving 506 citations
Peers
Comparison fields: 5 of 59
- Statistical and Nonlinear Physics 237
- Computational Mechanics 176
- Mechanical Engineering 157
- Mechanics of Materials 143
- Ocean Engineering 142
Countries citing papers authored by Teeratorn Kadeethum
This map shows the geographic impact of Teeratorn Kadeethum'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 Teeratorn Kadeethum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teeratorn Kadeethum more than expected).
Fields of papers citing papers by Teeratorn Kadeethum
This network shows the impact of papers produced by Teeratorn Kadeethum. 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 Teeratorn Kadeethum. The network helps show where Teeratorn Kadeethum may publish in the future.
Co-authorship network of co-authors of Teeratorn Kadeethum
This figure shows the co-authorship network connecting the top 25 collaborators of Teeratorn Kadeethum. A scholar is included among the top collaborators of Teeratorn Kadeethum 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 Teeratorn Kadeethum. Teeratorn Kadeethum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 33 | |
| 19 | 4 | |
| 20 | 1 |
About Teeratorn Kadeethum
Teeratorn Kadeethum is a scholar working on Ocean Engineering, Statistical and Nonlinear Physics and Computational Mechanics, having authored 49 papers that have together received 516 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (18 papers), Hydraulic Fracturing and Reservoir Analysis (16 papers) and Drilling and Well Engineering (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (237 citations), Ocean Engineering (142 citations) and Computational Mechanics (176 citations). Teeratorn Kadeethum has collaborated with scholars based in United States, Denmark and Australia. Frequent co-authors include Hamidreza M. Nick, Nikolaos Bouklas, Francesco Ballarin, Thomas Martini Jørgensen, Saeed Salimzadeh, Youngsoo Choi, Hongkyu Yoon, Daniel O’Malley, Sanghyun Lee and Hari Viswanathan. Their work appears in journals such as PLoS ONE, Scientific Reports and Water Resources 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.