Johan De Grave
Impact in
- Geophysics top 0.5%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geology top 1%
- Geological Studies and Exploration
- Geological and Geophysical Studies
Papers in
- Geophysics 108
- Geological and Geochemical Analysis 106
- High-pressure geophysics and materials 58
- earthquake and tectonic studies 55
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- Geochemistry and Geologic Mapping 51
- Co-authors
- Stijn Glorie (50 shared papers)Peter Van den haute (17 shared papers)M.M. Buslov (20 shared papers)M.M. Buslov (11 shared papers)Ф.И. Жимулев (21 shared papers)Marlina Elburg (10 shared papers)P. Van den haute (9 shared papers)Frank Vanhaecke (13 shared papers)
In The Last Decade
Johan De Grave
131 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 85
- Geophysics 3.2k
- Geology 434
- Artificial Intelligence 1.5k
- Geochemistry and Petrology 166
- Earth-Surface Processes 194
Countries citing papers authored by Johan De Grave
This map shows the geographic impact of Johan De Grave'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 Johan De Grave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan De Grave more than expected).
Fields of papers citing papers by Johan De Grave
This network shows the impact of papers produced by Johan De Grave. 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 Johan De Grave. The network helps show where Johan De Grave may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan De Grave, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 279 | |
| 2 | 2009 | 220 | |
| 3 | 2011 | 202 | |
| 4 | 2011 | 152 | |
| 5 | 2012 | 151 | |
| 6 | 2011 | 134 | |
| 7 | 2011 | 130 | |
| 8 | 2015 | 120 | |
| 9 | 2006 | 95 | |
| 10 | 2002 | 94 | |
| 11 | 2012 | 85 | |
| 12 | 2015 | 80 | |
| 13 | 2011 | 73 | |
| 14 | 2008 | 67 | |
| 15 | 2017 | 65 | |
| 16 | 2014 | 64 | |
| 17 | 2019 | 62 | |
| 18 | 2014 | 58 | |
| 19 | 2009 | 57 | |
| 20 | 2007 | 57 |
About Johan De Grave
Johan De Grave is a scholar working on Geophysics, Artificial Intelligence, Geology, Atmospheric Science and Paleontology, having authored 137 papers that have together received 3.7k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (106 papers), High-pressure geophysics and materials (58 papers), earthquake and tectonic studies (55 papers), Geochemistry and Geologic Mapping (51 papers), Geological Studies and Exploration (15 papers), Geology and Paleoclimatology Research (13 papers), Archaeology and ancient environmental studies (9 papers) and Geological formations and processes (8 papers). The work is most often cited by research in Geophysics (3.2k citations), Geology (434 citations), Artificial Intelligence (1.5k citations), Geochemistry and Petrology (166 citations) and Earth-Surface Processes (194 citations). Johan De Grave has collaborated with scholars based in Belgium, Russia and Australia. Frequent co-authors include Stijn Glorie, Peter Van den haute, M.M. Buslov, M.M. Buslov, Ф.И. Жимулев, Marlina Elburg, P. Van den haute, Frank Vanhaecke, Daniel F. Stöckli and Andrei Izmer. Their work appears in journals such as Gondwana Research, Geoscience Frontiers, Tectonophysics, Russian Geology and Geophysics and Journal of Asian Earth Sciences.
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.