M. Chichorro
Impact in
- Geophysics top 1%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- Geological and Geophysical Studies Worldwide
- High-pressure geophysics and materials
- Geochemistry and Petrology top 2%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 46
- Geological and Geochemical Analysis 43
- Geological and Geophysical Studies Worldwide 30
- earthquake and tectonic studies 26
- High-pressure geophysics and materials 5
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- Geochemistry and Geologic Mapping 14
- Co-authors
- Manuel Francisco Pereira (36 shared papers)J.B. Silva (22 shared papers)António Castro (6 shared papers)Rita Solá (11 shared papers)Ian S. Williams (5 shared papers)Carlos Fernández (6 shared papers)A. Apraiz (5 shared papers)Mandy Hofmann (9 shared papers)
In The Last Decade
M. Chichorro
47 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 35
- Geophysics 1.6k
- Geochemistry and Petrology 221
- Paleontology 189
- Artificial Intelligence 496
- Earth-Surface Processes 54
Countries citing papers authored by M. Chichorro
This map shows the geographic impact of M. Chichorro'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 M. Chichorro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Chichorro more than expected).
Fields of papers citing papers by M. Chichorro
This network shows the impact of papers produced by M. Chichorro. 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 M. Chichorro. The network helps show where M. Chichorro may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Chichorro, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 113 | |
| 2 | 2013 | 112 | |
| 3 | 2006 | 102 | |
| 4 | 2008 | 102 | |
| 5 | 2009 | 101 | |
| 6 | 2011 | 98 | |
| 7 | 2013 | 94 | |
| 8 | 2012 | 82 | |
| 9 | 2010 | 79 | |
| 10 | 2009 | 74 | |
| 11 | 2008 | 65 | |
| 12 | 2012 | 64 | |
| 13 | 2015 | 54 | |
| 14 | 2009 | 53 | |
| 15 | 2017 | 49 | |
| 16 | 2014 | 47 | |
| 17 | 2009 | 47 | |
| 18 | 2013 | 46 | |
| 19 | 2015 | 35 | |
| 20 | 2013 | 35 |
About M. Chichorro
M. Chichorro is a scholar working on Geophysics, Artificial Intelligence, Geochemistry and Petrology, Paleontology and Atmospheric Science, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (43 papers), Geological and Geophysical Studies Worldwide (30 papers), earthquake and tectonic studies (26 papers), Geochemistry and Geologic Mapping (14 papers), Geochemistry and Elemental Analysis (8 papers), High-pressure geophysics and materials (5 papers), Paleontology and Stratigraphy of Fossils (5 papers) and Geology and Paleoclimatology Research (3 papers). The work is most often cited by research in Geophysics (1.6k citations), Geochemistry and Petrology (221 citations), Paleontology (189 citations), Artificial Intelligence (496 citations) and Earth-Surface Processes (54 citations). M. Chichorro has collaborated with scholars based in Portugal, Spain and Germany. Frequent co-authors include Manuel Francisco Pereira, J.B. Silva, António Castro, Rita Solá, Ian S. Williams, Carlos Fernández, A. Apraiz, Mandy Hofmann, Teresa Sánchez-García and F. Bellido. Their work appears in journals such as Gondwana Research, Tectonophysics, International Journal of Earth Sciences, Precambrian Research and Lithos.
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.