M. Mattern
Impact in
- Astronomy and Astrophysics top 10%
- Astrophysics and Star Formation Studies
- Stellar, planetary, and galactic studies
- Astro and Planetary Science
- Galaxies: Formation, Evolution, Phenomena
Papers in
-
- Astrophysics and Star Formation Studies 6
- Stellar, planetary, and galactic studies 5
-
- Molecular Spectroscopy and Structure 4
- Co-authors
- J. Kainulainen (3 shared papers)Miaomiao Zhang (2 shared papers)Hirokazu Sugiyama (4 shared papers)Min Fang (1 shared paper)Th. Henning (1 shared paper)H. Beuther (2 shared papers)Sara Badr (2 shared papers)F. Schüller (3 shared papers)
- Journals
- Astronomy and Astrophysics (3 papers)AIChE Journal (1 paper)Process Safety and Environmental Protection (1 paper)The Astrophysical Journal Letters (1 paper)Computers & Chemical Engineering (1 paper)
- Partner nations
- GermanyJapanSwitzerland
In The Last Decade
M. Mattern
10 papers receiving 145 citations
Peers
Comparison fields: 5 of 33
- Astronomy and Astrophysics 106
- Instrumentation 10
- Spectroscopy 32
- Fluid Flow and Transfer Processes 10
- Statistics, Probability and Uncertainty 10
Countries citing papers authored by M. Mattern
This map shows the geographic impact of M. Mattern'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 M. Mattern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mattern more than expected).
Fields of papers citing papers by M. Mattern
This network shows the impact of papers produced by M. Mattern. 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 M. Mattern. The network helps show where M. Mattern may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Mattern, 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 | 2018 | 40 | |
| 2 | 2018 | 26 | |
| 3 | 2018 | 20 | |
| 4 | 2021 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2018 | 11 | |
| 7 | 2021 | 11 | |
| 8 | Probing the structure of a massive filament: ArTéMiS 350 and 450 μm mapping of the integral-shaped filament in Orion A | 2021 | 9 |
| 9 | 2018 | 3 | |
| 10 | 2022 | 2 |
About M. Mattern
M. Mattern is a scholar working on Astronomy and Astrophysics, Spectroscopy, Control and Systems Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering, having authored 10 papers that have together received 154 indexed citations. Recurring topics across this work include Astrophysics and Star Formation Studies (6 papers), Stellar, planetary, and galactic studies (5 papers), Molecular Spectroscopy and Structure (4 papers), Advanced Statistical Process Monitoring (3 papers), Mineral Processing and Grinding (2 papers), Fault Detection and Control Systems (2 papers), Fluid Dynamics and Mixing (1 paper) and Cyclone Separators and Fluid Dynamics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (106 citations), Instrumentation (10 citations), Spectroscopy (32 citations), Fluid Flow and Transfer Processes (10 citations) and Statistics, Probability and Uncertainty (10 citations). M. Mattern has collaborated with scholars based in Germany, Japan and Switzerland. Frequent co-authors include J. Kainulainen, Miaomiao Zhang, Hirokazu Sugiyama, Min Fang, Th. Henning, H. Beuther, Sara Badr, F. Schüller, T. Csengeri and J. S. Urquhart. Their work appears in journals such as Astronomy and Astrophysics, AIChE Journal, Process Safety and Environmental Protection, The Astrophysical Journal Letters and Computers & Chemical 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.