Rangsiman Ketkaew
Impact in
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- Magnetism in coordination complexes
- Biophysics top 5%
- Electron Spin Resonance Studies
Papers in
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- Machine Learning in Materials Science 5
- Copper-based nanomaterials and applications 1
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- Electrocatalysts for Energy Conversion 5
- Advanced Photocatalysis Techniques 2
- Co-authors
- Sandra Luber (10 shared papers)Yuthana Tantirungrotechai (4 shared papers)Phimphaka Harding (2 shared papers)David J. Harding (2 shared papers)Mathieu Marchivie (1 shared paper)Philippe Guionneau (1 shared paper)Guillaume Chastanet (1 shared paper)Fabrizio Creazzo (5 shared papers)
- Journals
- CHIMIA International Journal for Chemistry (2 papers)Dalton Transactions (2 papers)Chem Catalysis (1 paper)Macromolecular Theory and Simulations (1 paper)ChemSusChem (1 paper)
- Partner nations
- SwitzerlandThailandAustralia
In The Last Decade
Rangsiman Ketkaew
14 papers receiving 419 citations
Peers
Comparison fields: 5 of 54
- Electronic, Optical and Magnetic Materials 184
- Biophysics 56
- Inorganic Chemistry 135
- Materials Chemistry 251
- Oncology 57
Countries citing papers authored by Rangsiman Ketkaew
This map shows the geographic impact of Rangsiman Ketkaew'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 Rangsiman Ketkaew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangsiman Ketkaew more than expected).
Fields of papers citing papers by Rangsiman Ketkaew
This network shows the impact of papers produced by Rangsiman Ketkaew. 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 Rangsiman Ketkaew. The network helps show where Rangsiman Ketkaew may publish in the future.
Co-authors
The 19 scholars most cited alongside Rangsiman Ketkaew, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 222 | |
| 2 | 2022 | 51 | |
| 3 | 2017 | 33 | |
| 4 | 2024 | 22 | |
| 5 | 2022 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2021 | 3 |
About Rangsiman Ketkaew
Rangsiman Ketkaew is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Computational Theory and Mathematics, Electronic, Optical and Magnetic Materials and Inorganic Chemistry, having authored 14 papers that have together received 420 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Electrocatalysts for Energy Conversion (5 papers), Magnetism in coordination complexes (3 papers), Computational Drug Discovery Methods (3 papers), Advanced Photocatalysis Techniques (2 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers), Copper-based nanomaterials and applications (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (184 citations), Biophysics (56 citations), Inorganic Chemistry (135 citations), Materials Chemistry (251 citations) and Oncology (57 citations). Rangsiman Ketkaew has collaborated with scholars based in Switzerland, Thailand and Australia. Frequent co-authors include Sandra Luber, Yuthana Tantirungrotechai, Phimphaka Harding, David J. Harding, Mathieu Marchivie, Philippe Guionneau, Guillaume Chastanet, Fabrizio Creazzo, Jonggol Tantirungrotechai and Kevin Sivula. Their work appears in journals such as CHIMIA International Journal for Chemistry, Dalton Transactions, Chem Catalysis, Macromolecular Theory and Simulations and ChemSusChem.
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.