J.F. Molina
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geological and Geophysical Studies Worldwide
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 54
- Geological and Geochemical Analysis 54
- earthquake and tectonic studies 36
- High-pressure geophysics and materials 29
- Geological and Geophysical Studies Worldwide 17
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- Geochemistry and Geologic Mapping 19
- Co-authors
- P. Montero (39 shared papers)Ф. Беа (37 shared papers)Jane H. Scarrow (17 shared papers)Juan A. Moreno (11 shared papers)Aitor Cambeses (18 shared papers)Johannes Glodny (4 shared papers)Г. Б. Ферштатер (2 shared papers)Håkon Austrheim (3 shared papers)
In The Last Decade
J.F. Molina
52 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 52
- Geophysics 2.1k
- Geochemistry and Petrology 146
- Artificial Intelligence 678
- Paleontology 91
- Geology 49
Countries citing papers authored by J.F. Molina
This map shows the geographic impact of J.F. Molina'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 J.F. Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.F. Molina more than expected).
Fields of papers citing papers by J.F. Molina
This network shows the impact of papers produced by J.F. Molina. 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 J.F. Molina. The network helps show where J.F. Molina may publish in the future.
Co-authors
The 25 scholars most cited alongside J.F. Molina, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 191 | |
| 2 | 2015 | 173 | |
| 3 | 1999 | 156 | |
| 4 | 2009 | 128 | |
| 5 | 2009 | 110 | |
| 6 | 2003 | 100 | |
| 7 | 2014 | 94 | |
| 8 | 2002 | 87 | |
| 9 | 2010 | 79 | |
| 10 | 2005 | 73 | |
| 11 | 2006 | 68 | |
| 12 | 2008 | 57 | |
| 13 | 2004 | 52 | |
| 14 | 2016 | 48 | |
| 15 | 2011 | 46 | |
| 16 | 2017 | 45 | |
| 17 | 2011 | 44 | |
| 18 | 2016 | 38 | |
| 19 | 2015 | 37 | |
| 20 | 2021 | 37 |
About J.F. Molina
J.F. Molina is a scholar working on Geophysics, Artificial Intelligence, Materials Chemistry, Molecular Biology and Astronomy and Astrophysics, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (54 papers), earthquake and tectonic studies (36 papers), High-pressure geophysics and materials (29 papers), Geochemistry and Geologic Mapping (19 papers), Geological and Geophysical Studies Worldwide (17 papers), Mineral Processing and Grinding (1 paper), Nuclear materials and radiation effects (1 paper) and Geomagnetism and Paleomagnetism Studies (1 paper). The work is most often cited by research in Geophysics (2.1k citations), Geochemistry and Petrology (146 citations), Artificial Intelligence (678 citations), Paleontology (91 citations) and Geology (49 citations). J.F. Molina has collaborated with scholars based in Spain, Russia and Germany. Frequent co-authors include P. Montero, Ф. Беа, Jane H. Scarrow, Juan A. Moreno, Aitor Cambeses, Johannes Glodny, Г. Б. Ферштатер, Håkon Austrheim, Mohamed Abu Anbar and Cármen Rodríguez. Their work appears in journals such as Lithos, Journal of Petrology, Journal of the Geological Society, Gondwana Research and Contributions to Mineralogy and Petrology.
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.