Jan Heiland
Impact in
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- Model Reduction and Neural Networks
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- Numerical methods for differential equations
Papers in
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- Model Reduction and Neural Networks 24
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- Numerical methods for differential equations 9
- Co-authors
- Peter BennerRobert AltmannPawan GoyalJörg FehrJens SaakVipin KumarVolker MehrmannBenjamin Unger
- Journals
- Computers & Fluids (1 paper)Numerical Algorithms (1 paper)ETNA - Electronic Transactions on Numerical Analysis (1 paper)Computational Optimization and Applications (1 paper)International Journal for Numerical Methods in Engineering (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Jan Heiland
33 papers receiving 154 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 106
- Numerical Analysis 32
- Statistics, Probability and Uncertainty 30
- Computational Mechanics 55
- Control and Systems Engineering 46
Countries citing papers authored by Jan Heiland
This map shows the geographic impact of Jan Heiland'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 Jan Heiland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Heiland more than expected).
Fields of papers citing papers by Jan Heiland
This network shows the impact of papers produced by Jan Heiland. 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 Jan Heiland. The network helps show where Jan Heiland may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Jan Heiland, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 24 | |
| 18 | 2016 | 12 | |
| 19 | 2016 | 0 | |
| 20 | Simulation and Control of Drop Size Distributions in Stirred Liquid/Liquid Systems | 2010 | 1 |
About Jan Heiland
Jan Heiland is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Computational Mechanics, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 40 papers that have together received 166 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (24 papers), Numerical methods for differential equations (9 papers), Fluid Dynamics and Turbulent Flows (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Control Systems Optimization (4 papers), Fluid Dynamics and Vibration Analysis (4 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (106 citations), Numerical Analysis (32 citations), Statistics, Probability and Uncertainty (30 citations), Computational Mechanics (55 citations) and Control and Systems Engineering (46 citations). Jan Heiland has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Peter Benner, Robert Altmann, Pawan Goyal, Jörg Fehr, Jens Saak, Vipin Kumar, Volker Mehrmann, Benjamin Unger, Thomas Richter and Jens Bremer. Their work appears in journals such as Computers & Fluids, Numerical Algorithms, ETNA - Electronic Transactions on Numerical Analysis, Computational Optimization and Applications and International Journal for Numerical Methods in Engineering.
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.