R. Barsch
Impact in
- Geophysics top 1%
- Seismic Waves and Analysis
- earthquake and tectonic studies
- Seismic Imaging and Inversion Techniques
- High-pressure geophysics and materials
- Artificial Intelligence top 2%
- Seismology and Earthquake Studies
Papers in
-
- Computational Physics and Python Applications 7
- Seismology and Earthquake Studies 3
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- Seismic Waves and Analysis 2
- Seismic Imaging and Inversion Techniques 1
- Co-authors
- Moritz Beyreuther (6 shared papers)Lion Krischer (7 shared papers)Tobias Megies (7 shared papers)J. Wassermann (2 shared papers)Yannik Behr (1 shared paper)Joachim Wassermann (4 shared papers)Corentin Caudron (1 shared paper)Thomas Lecocq (2 shared papers)
In The Last Decade
R. Barsch
9 papers receiving 2.2k citations
R. Barsch's Hit Papers
Peers
Comparison fields: 5 of 49
- Geophysics 1.6k
- Artificial Intelligence 590
- Geology 74
- Ocean Engineering 153
- Civil and Structural Engineering 125
Countries citing papers authored by R. Barsch
This map shows the geographic impact of R. Barsch'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 R. Barsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Barsch more than expected).
Fields of papers citing papers by R. Barsch
This network shows the impact of papers produced by R. Barsch. 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 R. Barsch. The network helps show where R. Barsch may publish in the future.
Co-authors
The 18 scholars most cited alongside R. Barsch, 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 | ObsPy: A Python Toolbox for Seismology Hit paper breakdown → | 2010 | 1352 |
| 2 | ObsPy: a bridge for seismology into the scientific Python ecosystem Hit paper breakdown → | 2015 | 671 |
| 3 | 2011 | 188 | |
| 4 | 2013 | 14 | |
| 5 | 2007 | 4 | |
| 6 | ObsPy: A Python Toolbox for Seismology | 2010 | 4 |
| 7 | 2010 | 3 | |
| 8 | ObsPy: A Python Toolbox for Seismology/Seismological Observatories | 2011 | 1 |
| 9 | ObsPy -- A Python Toolbox for Seismology -- and Applications | 2017 | 1 |
| 10 | ObsPy: A Python Toolbox for Seismology | 2017 | 0 |
About R. Barsch
R. Barsch is a scholar working on Artificial Intelligence, Geophysics, Geology, Geography, Planning and Development and Information Systems and Management, having authored 10 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computational Physics and Python Applications (7 papers), Seismology and Earthquake Studies (3 papers), Seismic Waves and Analysis (2 papers), Geographic Information Systems Studies (1 paper), Environmental Monitoring and Data Management (1 paper), Disaster Management and Resilience (1 paper), Scientific Computing and Data Management (1 paper) and Seismic Imaging and Inversion Techniques (1 paper). The work is most often cited by research in Geophysics (1.6k citations), Artificial Intelligence (590 citations), Geology (74 citations), Ocean Engineering (153 citations) and Civil and Structural Engineering (125 citations). R. Barsch has collaborated with scholars based in Germany, Belgium and Singapore. Frequent co-authors include Moritz Beyreuther, Lion Krischer, Tobias Megies, J. Wassermann, Yannik Behr, Joachim Wassermann, Corentin Caudron, Thomas Lecocq, Kasra Hosseini and Karin Sigloch. Their work appears in journals such as Seismological Research Letters, Eos, International Journal of Digital Earth, Annals of Geophysics and AGUFM.
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.