David Debruyne
Impact in
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
- Geophysics top 10%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
Papers in
-
- Geochemistry and Geologic Mapping 16
- Geophysics 16
- Geological and Geochemical Analysis 16
- earthquake and tectonic studies 7
- Co-authors
- Philippe Muchez (7 shared papers)Niels Hulsbosch (2 shared papers)Virginie Virolle (3 shared papers)Hervé Chneiweiss (3 shared papers)Laurent Turchi (3 shared papers)Fabien Almairac (3 shared papers)Mohamed Fareh (3 shared papers)P. Paquis (2 shared papers)
In The Last Decade
David Debruyne
35 papers receiving 794 citations
Peers
Comparison fields: 5 of 95
- Geochemistry and Petrology 106
- Geophysics 216
- Cancer Research 184
- Paleontology 43
- Oncology 139
Countries citing papers authored by David Debruyne
This map shows the geographic impact of David Debruyne'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 David Debruyne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Debruyne more than expected).
Fields of papers citing papers by David Debruyne
This network shows the impact of papers produced by David Debruyne. 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 David Debruyne. The network helps show where David Debruyne may publish in the future.
Co-authors
The 25 scholars most cited alongside David Debruyne, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 151 | |
| 2 | 2015 | 105 | |
| 3 | 2015 | 88 | |
| 4 | 2019 | 74 | |
| 5 | 2015 | 51 | |
| 6 | 2015 | 45 | |
| 7 | 2013 | 36 | |
| 8 | 2015 | 28 | |
| 9 | 2020 | 27 | |
| 10 | 2017 | 27 | |
| 11 | 2012 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2014 | 17 | |
| 14 | 2017 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2014 | 9 | |
| 19 | Rare earth element and yttrium characteristics of carbonates within the sediment-hosted Luiswishi and Kamoto Cu-Co deposits, Katanga Copperbelt (Democratic Republic of Congo ‒ DRC) | 2013 | 7 |
| 20 | 2023 | 6 |
About David Debruyne
David Debruyne is a scholar working on Artificial Intelligence, Geophysics, Geochemistry and Petrology, Molecular Biology and Cancer Research, having authored 35 papers that have together received 804 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (16 papers), Geochemistry and Geologic Mapping (16 papers), earthquake and tectonic studies (7 papers), Geochemistry and Elemental Analysis (7 papers), Quantum Dots Synthesis And Properties (3 papers), Neuroblastoma Research and Treatments (3 papers), MicroRNA in disease regulation (3 papers) and Groundwater and Isotope Geochemistry (3 papers). The work is most often cited by research in Geochemistry and Petrology (106 citations), Geophysics (216 citations), Cancer Research (184 citations), Paleontology (43 citations) and Oncology (139 citations). David Debruyne has collaborated with scholars based in Brazil, Belgium and France. Frequent co-authors include Philippe Muchez, Niels Hulsbosch, Virginie Virolle, Hervé Chneiweiss, Laurent Turchi, Fabien Almairac, Mohamed Fareh, P. Paquis, Nathanael S. Gray and Frank Vanhaecke. Their work appears in journals such as Precambrian Research, Ore Geology Reviews, Journal of South American Earth Sciences, Oncogene and Gynecologic Oncology.
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.