Marco Fahl
- Control and Systems Engineering top 2%
- Industrial and Manufacturing Engineering top 1%
- Statistical and Nonlinear Physics top 5%
- Computational Mechanics top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Model Reduction and Neural Networks (3 papers)Real-time simulation and control systems (2 papers)Numerical methods for differential equations (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringControl and Systems EngineeringStatistical and Nonlinear Physics
- Journals
- Computers & Chemical EngineeringMathematical and Computer ModellingDefense Technical Information Center (DTIC)
- Partner nations
- GermanyUnited StatesArgentina
In The Last Decade
Marco Fahl
4 papers receiving 657 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 505
- Industrial and Manufacturing Engineering 395
- Statistical and Nonlinear Physics 108
- Computational Mechanics 71
- Statistics, Probability and Uncertainty 57
Countries citing papers authored by Marco Fahl
This map shows the geographic impact of Marco Fahl'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 Marco Fahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Fahl more than expected).
Fields of papers citing papers by Marco Fahl
This network shows the impact of papers produced by Marco Fahl. 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 Marco Fahl. The network helps show where Marco Fahl may publish in the future.
Co-authorship network of co-authors of Marco Fahl
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Fahl. A scholar is included among the top collaborators of Marco Fahl 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 Marco Fahl. Marco Fahl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | State-of-the-art review of optimization methods for short-term scheduling of batch processesbreakdown → | 565 |
| 2 | 15 | |
| 3 | 35 | |
| 4 | Trust-region proper orthogonal decomposition for flow control | 75 |
About Marco Fahl
Marco Fahl is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics and Statistics, Probability and Uncertainty, having authored 4 papers that have together received 690 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (3 papers), Real-time simulation and control systems (2 papers) and Numerical methods for differential equations (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (395 citations), Control and Systems Engineering (505 citations) and Statistical and Nonlinear Physics (108 citations). Marco Fahl has collaborated with scholars based in Germany, United States and Argentina. Frequent co-authors include Ignacio E. Grossmann, Carlos A. Méndez, Jaime Cerdá, Iiro Harjunkoski and E. W. Sachs. Their work appears in journals such as Computers & Chemical Engineering, Mathematical and Computer Modelling and Defense Technical Information Center (DTIC).
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.