Mathias Foo

57 papers receiving 482 citations

Peers

Mathias Foo
Comparison fields: 5 of 102
  • Control and Systems Engineering 88
  • Surfaces, Coatings and Films 24
  • Molecular Biology 173
  • Ocean Engineering 37
  • Computer Vision and Pattern Recognition 47
Replace Emanuela Del Dottore with:
Emanuela Del Dottore Italy
Mengting Chen China
Joseph R. Davidson United States
Wenqiang Wang China
Jun Qin United States
Zhengming Zhang China
José Delpiano Chile
Huabing Zhu China
Gaohong Yu China
Mathias Foo relative to Emanuela Del Dottore Italy Emanuela Del Dottore's profile →
Citations per field
00.5×8.2×
Emanuela Del Dottore · 1×
Citations per year

Countries citing papers authored by Mathias Foo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mathias Foo Line = papers co-authored together Mathias Foo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 201933
3 201631
4 201627
5 201519
6 202216
7 201316
8 202015
9 201614
10 202213
11 201813
12 202113
13 201712
14 202112
15 201812
16 201812
17 201612
18 20168
19 20108
20 20108

About Mathias Foo

Mathias Foo is a scholar working on Molecular Biology, Control and Systems Engineering, Plant Science, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 57 papers that have together received 488 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Light effects on plants (10 papers), Advanced biosensing and bioanalysis techniques (8 papers), Plant Molecular Biology Research (7 papers), Greenhouse Technology and Climate Control (6 papers), DNA and Nucleic Acid Chemistry (6 papers), Hydraulic flow and structures (5 papers) and Fault Detection and Control Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (88 citations), Surfaces, Coatings and Films (24 citations), Molecular Biology (173 citations), Ocean Engineering (37 citations) and Computer Vision and Pattern Recognition (47 citations). Mathias Foo has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Declan G. Bates, Hafiz Ahmed, Pan‐Jun Kim, Erik Weyer, Jongmin Kim, David E. Somers, Odongo Steven Eyobu, B. S. K. K. Ibrahim, Ai Hui Tan and Su Ki Ooi. Their work appears in journals such as PLoS ONE, ACS Synthetic Biology, PLoS Computational Biology, International Journal of Engine Research and Scientific Reports.

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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