Márta Berkesi
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Geological Formations and Processes Exploration
- Paleontology top 10%
- Paleontology and Stratigraphy of Fossils
Papers in
- Geophysics 35
- Geological and Geochemical Analysis 28
- Geological Formations and Processes Exploration 16
- High-pressure geophysics and materials 15
- earthquake and tectonic studies 12
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- Paleontology and Stratigraphy of Fossils 6
- Co-authors
- Csaba Szabó (25 shared papers)Tibor Guzmics (12 shared papers)Ralf Milke (4 shared papers)Roger H. Mitchell (4 shared papers)Robert J. Bodnar (5 shared papers)Rainer Abart (1 shared paper)Károly Hidas (3 shared papers)Jean Dubessy (2 shared papers)
In The Last Decade
Márta Berkesi
34 papers receiving 578 citations
Peers
Comparison fields: 5 of 45
- Geophysics 519
- Paleontology 84
- Geochemistry and Petrology 65
- Artificial Intelligence 158
- Geology 21
Countries citing papers authored by Márta Berkesi
This map shows the geographic impact of Márta Berkesi'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 Márta Berkesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Márta Berkesi more than expected).
Fields of papers citing papers by Márta Berkesi
This network shows the impact of papers produced by Márta Berkesi. 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 Márta Berkesi. The network helps show where Márta Berkesi may publish in the future.
Co-authors
The 25 scholars most cited alongside Márta Berkesi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 101 | |
| 2 | 2012 | 92 | |
| 3 | 2009 | 55 | |
| 4 | 2012 | 51 | |
| 5 | 2013 | 42 | |
| 6 | 2018 | 33 | |
| 7 | 2021 | 28 | |
| 8 | 2019 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2014 | 20 | |
| 11 | 2023 | 15 | |
| 12 | 2024 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2023 | 5 |
About Márta Berkesi
Márta Berkesi is a scholar working on Geophysics, Paleontology, Mechanics of Materials, Artificial Intelligence and Environmental Chemistry, having authored 36 papers that have together received 588 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (28 papers), Geological Formations and Processes Exploration (16 papers), High-pressure geophysics and materials (15 papers), earthquake and tectonic studies (12 papers), Paleontology and Stratigraphy of Fossils (6 papers), Hydrocarbon exploration and reservoir analysis (4 papers), Methane Hydrates and Related Phenomena (4 papers) and Geochemistry and Geologic Mapping (4 papers). The work is most often cited by research in Geophysics (519 citations), Paleontology (84 citations), Geochemistry and Petrology (65 citations), Artificial Intelligence (158 citations) and Geology (21 citations). Márta Berkesi has collaborated with scholars based in Hungary, Germany and Italy. Frequent co-authors include Csaba Szabó, Tibor Guzmics, Ralf Milke, Roger H. Mitchell, Robert J. Bodnar, Rainer Abart, Károly Hidas, Jean Dubessy, Bernardo Cesare and Silvio Ferrero. Their work appears in journals such as Lithos, Journal of Volcanology and Geothermal Research, American Mineralogist, Geology and European Journal of Mineralogy.
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.