Saskia Erdmann
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Mineralogy and Gemology Studies
Papers in
- Geophysics 61
- Geological and Geochemical Analysis 58
- earthquake and tectonic studies 41
- High-pressure geophysics and materials 41
- Geological Formations and Processes Exploration 3
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- Geochemistry and Geologic Mapping 18
- Co-authors
- Caroline Martel (7 shared papers)Michel Pichavant (4 shared papers)Alexandra Kushnir (2 shared papers)Dawn A. Kellett (3 shared papers)Xisheng Xu (8 shared papers)D. B. Clarke (7 shared papers)Djordje Grujić (1 shared paper)Michael A. MacDonald (3 shared papers)
In The Last Decade
Saskia Erdmann
62 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 44
- Geophysics 1.4k
- Geochemistry and Petrology 135
- Artificial Intelligence 479
- Geology 49
- Paleontology 59
Countries citing papers authored by Saskia Erdmann
This map shows the geographic impact of Saskia Erdmann'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 Saskia Erdmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saskia Erdmann more than expected).
Fields of papers citing papers by Saskia Erdmann
This network shows the impact of papers produced by Saskia Erdmann. 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 Saskia Erdmann. The network helps show where Saskia Erdmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Saskia Erdmann, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 179 | |
| 2 | 2009 | 113 | |
| 3 | 2005 | 98 | |
| 4 | 2016 | 73 | |
| 5 | 2009 | 62 | |
| 6 | 2012 | 52 | |
| 7 | 2007 | 49 | |
| 8 | 2016 | 48 | |
| 9 | 2018 | 42 | |
| 10 | 2014 | 41 | |
| 11 | 2017 | 39 | |
| 12 | 2016 | 35 | |
| 13 | 2018 | 33 | |
| 14 | 2011 | 33 | |
| 15 | 2017 | 31 | |
| 16 | 2019 | 31 | |
| 17 | 2018 | 30 | |
| 18 | 2004 | 29 | |
| 19 | 2019 | 27 | |
| 20 | 2017 | 27 |
About Saskia Erdmann
Saskia Erdmann is a scholar working on Geophysics, Artificial Intelligence, Atmospheric Science, Geochemistry and Petrology and Oceanography, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (58 papers), earthquake and tectonic studies (41 papers), High-pressure geophysics and materials (41 papers), Geochemistry and Geologic Mapping (18 papers), Geology and Paleoclimatology Research (9 papers), Geochemistry and Elemental Analysis (3 papers), Geological Formations and Processes Exploration (3 papers) and Mineralogy and Gemology Studies (2 papers). The work is most often cited by research in Geophysics (1.4k citations), Geochemistry and Petrology (135 citations), Artificial Intelligence (479 citations), Geology (49 citations) and Paleontology (59 citations). Saskia Erdmann has collaborated with scholars based in France, China and Canada. Frequent co-authors include Caroline Martel, Michel Pichavant, Alexandra Kushnir, Dawn A. Kellett, Xisheng Xu, D. B. Clarke, Djordje Grujić, Michael A. MacDonald, Bruno Scaillet and R. A. Jamieson. Their work appears in journals such as Contributions to Mineralogy and Petrology, Journal of Geophysical Research Solid Earth, Journal of Petrology, Chemical Geology and Lithos.
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.