Carlos Villaseca
- Geophysics top 0.5%
- Geological and Geochemical Analysis 63
- earthquake and tectonic studies 53
- High-pressure geophysics and materials 26
- Geological and Geophysical Studies Worldwide 24
- Geochemistry and Petrology top 2%
- Geochemistry and Elemental Analysis 6
- Artificial Intelligence top 2%
- Geochemistry and Geologic Mapping 11
- Paleontology top 5%
- Geology top 10%
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- Geology and Paleoclimatology Research 6
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- Archaeological and Geological Studies 4
Carlos Villaseca
70 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 56
- Geophysics 2.2k
- Geochemistry and Petrology 320
- Artificial Intelligence 698
- Paleontology 109
- Geology 43
Countries citing papers authored by Carlos Villaseca
This map shows the geographic impact of Carlos Villaseca'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 Carlos Villaseca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Villaseca more than expected).
Fields of papers citing papers by Carlos Villaseca
This network shows the impact of papers produced by Carlos Villaseca. 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 Carlos Villaseca. The network helps show where Carlos Villaseca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos Villaseca, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 3 | |
| 6 | 2017 | 5 | |
| 7 | 2016 | 44 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 12 | |
| 10 | 2014 | 26 | |
| 11 | 2011 | 20 | |
| 12 | 2006 | 37 | |
| 13 | A PREMA asthenospheric component for the Permian alkaline dykes of the Spanish Central System | 2005 | 2 |
| 14 | 2004 | 30 | |
| 15 | Estimaciones termobarométricas en los metagabros coroníticos de la región de Segovia (Sierra de Guadarrama) | 2002 | 4 |
| 16 | 1999 | 21 | |
| 17 | Nuevos datos petrológicos, geocronologia (Rb-Sr) y geoquímica isotópica (Sr, Nd) del plutón de Ventosilla (Sierra de Guadarrama, Sistema Central Español) | 1997 | 3 |
| 18 | 1994 | 32 | |
| 19 | Gabros coroníticos en el macizo cristalino de Toledo | 1988 | 2 |
| 20 | 1985 | 2 |
About Carlos Villaseca
Carlos Villaseca is a scholar working on Geophysics, Geochemistry and Petrology and Archeology, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (63 papers), earthquake and tectonic studies (53 papers), High-pressure geophysics and materials (26 papers), Geological and Geophysical Studies Worldwide (24 papers), Geochemistry and Geologic Mapping (11 papers), Geology and Paleoclimatology Research (6 papers), Geochemistry and Elemental Analysis (6 papers) and Archaeological and Geological Studies (4 papers). The work is most often cited by research in Geophysics (2.2k citations), Geochemistry and Petrology (320 citations) and Artificial Intelligence (698 citations). Carlos Villaseca has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include L. Barbero, David Orejana, Cecilia Pérez-Soba Aguilar, G. Rogers, Елена Белоусова, Enrique Merino, B. A. Paterson, Kjell Billström, Teresa E. Jeffries and José Ángel López García. Their work appears in journals such as Lithos, Ore Geology Reviews, International Journal of Earth Sciences, Precambrian Research 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.