Sebastian Maaß
- Water Science and Technology top 2%
- Minerals Flotation and Separation Techniques 19
- Computational Mechanics top 2%
- Cyclone Separators and Fluid Dynamics 6
- Biomedical Engineering top 5%
- Fluid Dynamics and Mixing 22
- Innovative Microfluidic and Catalytic Techniques Innovation 7
- Analytical Chemistry top 5%
- Ocean Engineering top 5%
- Particle Dynamics in Fluid Flows 3
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- Electrohydrodynamics and Fluid Dynamics 3
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- Metallurgical Processes and Thermodynamics 3
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- Bayesian Modeling and Causal Inference 2
- Co-authors
- Matthias KraumeAndreas VoigtRonny HänschAlessio ZacconeJannike SolsvikHugo A. JakobsenDetlef StoltenAnja R. Paschedag
- Journals
- Journal of Power Sources (1 paper)Chemical Engineering Journal (3 papers)Industrial & Engineering Chemistry Research (2 papers)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Sebastian Maaß
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Water Science and Technology 395
- Computational Mechanics 413
- Biomedical Engineering 850
- Analytical Chemistry 101
- Ocean Engineering 159
Countries citing papers authored by Sebastian Maaß
This map shows the geographic impact of Sebastian Maaß'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 Sebastian Maaß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Maaß more than expected).
Fields of papers citing papers by Sebastian Maaß
This network shows the impact of papers produced by Sebastian Maaß. 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 Sebastian Maaß. The network helps show where Sebastian Maaß may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sebastian Maaß, 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 | 2021 | 4 | |
| 3 | 2018 | 38 | |
| 4 | 2018 | 24 | |
| 5 | 2016 | 56 | |
| 6 | 2016 | 11 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 28 | |
| 9 | 2015 | 8 | |
| 10 | 2012 | 59 | |
| 11 | 2012 | 111 | |
| 12 | 2011 | 24 | |
| 13 | 2011 | 12 | |
| 14 | 2010 | 50 | |
| 15 | Measurement techniques for drop size distributions in stirred liquid-liquid systems | 2009 | 4 |
| 16 | 2007 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2007 | 61 | |
| 19 | Continuous Linear Representation of Coherent Lower Previsions. | 2003 | 7 |
| 20 | Coherent Lower Previsions as Exact Functionals and their (Sigma-)Core. | 2001 | 3 |
About Sebastian Maaß
Sebastian Maaß is a scholar working on Water Science and Technology, Biomedical Engineering and Computational Mechanics, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Mixing (22 papers), Minerals Flotation and Separation Techniques (19 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Cyclone Separators and Fluid Dynamics (6 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Particle Dynamics in Fluid Flows (3 papers), Metallurgical Processes and Thermodynamics (3 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Water Science and Technology (395 citations), Computational Mechanics (413 citations) and Biomedical Engineering (850 citations). Sebastian Maaß has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Matthias Kraume, Andreas Voigt, Ronny Hänsch, Alessio Zaccone, Jannike Solsvik, Hugo A. Jakobsen, Detlef Stolten, Anja R. Paschedag, Ulrich Sauter and Daniele Marchisio. Their work appears in journals such as Journal of Power Sources, Chemical Engineering Journal and Industrial & Engineering Chemistry Research.
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.