Mathias Foo
Impact in
- Control and Systems Engineering top 10%
- Robotic Mechanisms and Dynamics
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- Polymer Surface Interaction Studies
Papers in
-
- Gene Regulatory Network Analysis 15
- Advanced biosensing and bioanalysis techniques 7
- DNA and Nucleic Acid Chemistry 6
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- Control Systems and Identification 5
- Co-authors
- Declan G. Bates (17 shared papers)Hafiz Ahmed (9 shared papers)Pan‐Jun Kim (6 shared papers)Erik Weyer (6 shared papers)Jongmin Kim (8 shared papers)David E. Somers (4 shared papers)B. S. K. K. Ibrahim (1 shared paper)Odongo Steven Eyobu (1 shared paper)
- Journals
- PLoS ONE (3 papers)ACS Synthetic Biology (2 papers)PLoS Computational Biology (2 papers)Scientific Reports (1 paper)Biosystems (1 paper)
- Partner nations
- United KingdomSouth KoreaMalaysia
In The Last Decade
Mathias Foo
58 papers receiving 506 citations
Peers
Comparison fields: 5 of 102
- Control and Systems Engineering 92
- Surfaces, Coatings and Films 25
- Molecular Biology 176
- Ocean Engineering 38
- Endocrine and Autonomic Systems 15
Countries citing papers authored by Mathias Foo
This map shows the geographic impact of Mathias Foo'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 Mathias Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Foo more than expected).
Fields of papers citing papers by Mathias Foo
This network shows the impact of papers produced by Mathias Foo. 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 Mathias Foo. The network helps show where Mathias Foo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Foo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2019 | 33 | |
| 3 | 2016 | 33 | |
| 4 | 2016 | 27 | |
| 5 | 2015 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2013 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2016 | 15 | |
| 10 | 2018 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2018 | 12 | |
| 18 | 2016 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2010 | 8 |
About Mathias Foo
Mathias Foo is a scholar working on Molecular Biology, Control and Systems Engineering, Civil and Structural Engineering, Plant Science and Biomedical Engineering, having authored 58 papers that have together received 508 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (15 papers), Light effects on plants (10 papers), Plant Molecular Biology Research (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Greenhouse Technology and Climate Control (6 papers), DNA and Nucleic Acid Chemistry (6 papers), Control Systems and Identification (5 papers) and Hydraulic flow and structures (5 papers). The work is most often cited by research in Control and Systems Engineering (92 citations), Surfaces, Coatings and Films (25 citations), Molecular Biology (176 citations), Ocean Engineering (38 citations) and Endocrine and Autonomic Systems (15 citations). Mathias Foo has collaborated with scholars based in United Kingdom, South Korea and Malaysia. Frequent co-authors include Declan G. Bates, Hafiz Ahmed, Pan‐Jun Kim, Erik Weyer, Jongmin Kim, David E. Somers, B. S. K. K. Ibrahim, Odongo Steven Eyobu, Ai Hui Tan and Jongrae Kim. Their work appears in journals such as PLoS ONE, ACS Synthetic Biology, PLoS Computational Biology, Scientific Reports and Biosystems.
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.