Pieter Plehiers
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- Computational Drug Discovery Methods 4
- Materials Chemistry top 10%
- Machine Learning in Materials Science 6
- Biomedical Engineering top 10%
- Innovative Microfluidic and Catalytic Techniques Innovation 2
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems 2
- Advanced Control Systems Optimization 1
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- Chemical Thermodynamics and Molecular Structure 2
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- Chemical Synthesis and Analysis 1
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- Nuclear Engineering Thermal-Hydraulics 1
Pieter Plehiers
10 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 281
- Materials Chemistry 517
- Biomedical Engineering 398
- Catalysis 58
- Control and Systems Engineering 109
Countries citing papers authored by Pieter Plehiers
This map shows the geographic impact of Pieter Plehiers'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 Pieter Plehiers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pieter Plehiers more than expected).
Fields of papers citing papers by Pieter Plehiers
This network shows the impact of papers produced by Pieter Plehiers. 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 Pieter Plehiers. The network helps show where Pieter Plehiers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pieter Plehiers, 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 | 2021 | 21 | |
| 2 | Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threatsbreakdown → | 2021 | 207 |
| 3 | 2021 | 17 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 17 | |
| 7 | Accelerating reactive CFD simulations with detailed pyrolysis chemistry using artificial neural networks | 2019 | 1 |
| 8 | A robotic platform for flow synthesis of organic compounds informed by AI planningbreakdown → | 2019 | 730 |
| 9 | 2019 | 56 | |
| 10 | 2018 | 33 |
About Pieter Plehiers
Pieter Plehiers is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Fault Detection and Control Systems (2 papers), Chemical Thermodynamics and Molecular Structure (2 papers), Chemical Synthesis and Analysis (1 paper), Advanced Control Systems Optimization (1 paper) and Nuclear Engineering Thermal-Hydraulics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (281 citations), Materials Chemistry (517 citations) and Biomedical Engineering (398 citations). Pieter Plehiers has collaborated with scholars based in Belgium and United States. Frequent co-authors include Kevin M. Van Geem, Christian V. Stevens, Maarten R. Dobbelaere, Ruben Van de Vijver, Connor W. Coley, Hanyu Gao, William H. Green, A. John Hart, Justin A. M. Lummiss and C. Breen.
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.