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 64
- Geological and Geochemical Analysis 61
- High-pressure geophysics and materials 42
- earthquake and tectonic studies 42
- 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 R. L. Kushnir (2 shared papers)Dawn A. Kellett (3 shared papers)Xisheng Xu (8 shared papers)D. BARRIE CLARKE (8 shared papers)Michael A. MacDonald (4 shared papers)Djordje Grujić (1 shared paper)
In The Last Decade
Saskia Erdmann
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 52
- Geophysics 1.6k
- Geochemistry and Petrology 164
- Artificial Intelligence 539
- Geology 63
- Paleontology 65
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 200 | |
| 2 | 2009 | 118 | |
| 3 | 2005 | 97 | |
| 4 | 2004 | 93 | |
| 5 | 2016 | 79 | |
| 6 | 2009 | 67 | |
| 7 | 2012 | 53 | |
| 8 | 2016 | 51 | |
| 9 | 2007 | 48 | |
| 10 | 2018 | 46 | |
| 11 | 2016 | 44 | |
| 12 | 2018 | 44 | |
| 13 | 2014 | 43 | |
| 14 | 2017 | 41 | |
| 15 | 2017 | 34 | |
| 16 | 2018 | 33 | |
| 17 | 2011 | 33 | |
| 18 | 2019 | 32 | |
| 19 | 2019 | 31 | |
| 20 | 2017 | 29 |
About Saskia Erdmann
Saskia Erdmann is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Atmospheric Science and Geology, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (61 papers), High-pressure geophysics and materials (42 papers), earthquake and tectonic studies (42 papers), Geochemistry and Geologic Mapping (18 papers), Geology and Paleoclimatology Research (10 papers), Geochemistry and Elemental Analysis (3 papers), Mineralogy and Gemology Studies (3 papers) and Geological Formations and Processes Exploration (3 papers). The work is most often cited by research in Geophysics (1.6k citations), Geochemistry and Petrology (164 citations), Artificial Intelligence (539 citations), Geology (63 citations) and Paleontology (65 citations). Saskia Erdmann has collaborated with scholars based in France, China and Canada. Frequent co-authors include Caroline Martel, Michel Pichavant, Alexandra R. L. Kushnir, Dawn A. Kellett, Xisheng Xu, D. BARRIE CLARKE, Michael A. MacDonald, Djordje Grujić, R. A. Jamieson and Bruno Scaillet. 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.