Д. П. Гладкочуб
- Geophysics top 0.1%
- Geological and Geochemical Analysis 91
- High-pressure geophysics and materials 46
- earthquake and tectonic studies 22
- Geology top 0.2%
- Geological Studies and Exploration 37
- Paleontology top 1%
- Paleontology and Stratigraphy of Fossils 4
- Geochemistry and Petrology top 0.5%
- Artificial Intelligence top 0.2%
- Geochemistry and Geologic Mapping 55
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- Geomagnetism and Paleomagnetism Studies 7
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- Hydrocarbon exploration and reservoir analysis 4
- Co-authors
- Sergei PisarevskyТ. V. DonskayaА. М. МазукабзовL. M. NatapovRichard E. ErnstV. A. VernikovskyBert De WaeleKristine Thrane
- Cited by
- GeophysicsGeologyPaleontology
- Journals
- SHILAP Revista de lepidopterología (2 papers)Earth and Planetary Science Letters (2 papers)Nature Geoscience (1 paper)
In The Last Decade
Д. П. Гладкочуб
96 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Geophysics 6.0k
- Geology 1.1k
- Paleontology 1.0k
- Geochemistry and Petrology 667
- Artificial Intelligence 2.9k
Countries citing papers authored by Д. П. Гладкочуб
This map shows the geographic impact of Д. П. Гладкочуб'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 Д. П. Гладкочуб with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Д. П. Гладкочуб more than expected).
Fields of papers citing papers by Д. П. Гладкочуб
This network shows the impact of papers produced by Д. П. Гладкочуб. 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 Д. П. Гладкочуб. The network helps show where Д. П. Гладкочуб may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Д. П. Гладкочуб, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 5 | |
| 11 | 2016 | 8 | |
| 12 | 2016 | 232 | |
| 13 | 2013 | 11 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 19 | |
| 16 | New Palaeomagnetic Data from the Kitoy River, South Siberia and applications to the Neoproterozoic palaeogeography | 2010 | 1 |
| 17 | 2010 | 20 | |
| 18 | 2009 | 4 | |
| 19 | Assembly, configuration, and break-up history of Rodinia: A synthesisbreakdown → | 2007 | 2850 |
| 20 | 2007 | 38 |
About Д. П. Гладкочуб
Д. П. Гладкочуб is a scholar working on Geophysics, Geology and Artificial Intelligence, having authored 98 papers that have together received 6.4k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (91 papers), Geochemistry and Geologic Mapping (55 papers), High-pressure geophysics and materials (46 papers), Geological Studies and Exploration (37 papers), earthquake and tectonic studies (22 papers), Geomagnetism and Paleomagnetism Studies (7 papers), Paleontology and Stratigraphy of Fossils (4 papers) and Hydrocarbon exploration and reservoir analysis (4 papers). The work is most often cited by research in Geophysics (6.0k citations), Geology (1.1k citations) and Paleontology (1.0k citations). Д. П. Гладкочуб has collaborated with scholars based in Russia, Australia and Canada. Frequent co-authors include Sergei Pisarevsky, Т. V. Donskaya, А. М. Мазукабзов, L. M. Natapov, Richard E. Ernst, V. A. Vernikovsky, Bert De Waele, Kristine Thrane, Alan S. Collins and Karl E. Karlstrom. Their work appears in journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Nature Geoscience.
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.