J. Kummerow
Impact in
- Geophysics top 5%
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geological and Geochemical Analysis
- Seismic Waves and Analysis
- Seismic Imaging and Inversion Techniques
- Earthquake Detection and Analysis
-
- Seismology and Earthquake Studies
Papers in ⓘ
- Geophysics 35
- earthquake and tectonic studies 25
- Seismic Imaging and Inversion Techniques 17
- High-pressure geophysics and materials 15
- Seismic Waves and Analysis 10
- Geological and Geochemical Analysis 9
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- Reservoir Engineering and Simulation Methods 6
- Co-authors
- S. A. Shapiro (21 shared papers)C. Dinske (5 shared papers)Pablo Salazar (5 shared papers)R. Kind (2 shared papers)Onno Oncken (2 shared papers)Frank Scherbaum (2 shared papers)G. Asch (4 shared papers)K. Wylegalla (1 shared paper)
In The Last Decade
J. Kummerow
35 papers receiving 572 citations
Peers
Comparison fields: 5 of 32
- Geophysics 553
- Artificial Intelligence 75
- Ocean Engineering 31
- Environmental Engineering 27
- Geology 8
Countries citing papers authored by J. Kummerow
This map shows the geographic impact of J. Kummerow'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 J. Kummerow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kummerow more than expected).
Fields of papers citing papers by J. Kummerow
This network shows the impact of papers produced by J. Kummerow. 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 J. Kummerow. The network helps show where J. Kummerow may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Kummerow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 105 | |
| 2 | 2004 | 89 | |
| 3 | 2006 | 69 | |
| 4 | 2018 | 51 | |
| 5 | 2014 | 47 | |
| 6 | 2016 | 34 | |
| 7 | 2021 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2006 | 22 | |
| 10 | 2018 | 18 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2011 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2010 | 5 | |
| 20 | 2012 | 4 |
About J. Kummerow
J. Kummerow is a scholar working on Geophysics, Ocean Engineering, Artificial Intelligence, Fluid Flow and Transfer Processes and Mechanical Engineering, having authored 38 papers that have together received 588 indexed citations. Recurring topics across this work include earthquake and tectonic studies (25 papers), Seismic Imaging and Inversion Techniques (17 papers), High-pressure geophysics and materials (15 papers), Seismology and Earthquake Studies (11 papers), Seismic Waves and Analysis (10 papers), Geological and Geochemical Analysis (9 papers), Reservoir Engineering and Simulation Methods (6 papers) and Hydraulic Fracturing and Reservoir Analysis (4 papers). The work is most often cited by research in Geophysics (553 citations), Artificial Intelligence (75 citations), Ocean Engineering (31 citations), Environmental Engineering (27 citations) and Geology (8 citations). J. Kummerow has collaborated with scholars based in Germany, Chile and Japan. Frequent co-authors include S. A. Shapiro, C. Dinske, Pablo Salazar, R. Kind, Onno Oncken, Frank Scherbaum, G. Asch, K. Wylegalla, P. Giese and T. Ryberg. Their work appears in journals such as Journal of Geophysical Research Solid Earth, Geophysical Journal International, Geophysical Research Letters, Solid Earth and Tectonophysics.
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.