Countries citing papers authored by Ricardo Arévalo
Since
Specialization
Citations
This map shows the geographic impact of Ricardo Arévalo'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 Ricardo Arévalo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Arévalo more than expected).
This network shows the impact of papers produced by Ricardo Arévalo. 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 Ricardo Arévalo. The network helps show where Ricardo Arévalo may publish in the future.
Co-authorship network of co-authors of Ricardo Arévalo
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Arévalo.
A scholar is included among the top collaborators of Ricardo Arévalo based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Ricardo Arévalo. Ricardo Arévalo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bardyn, A., Ricardo Arévalo, Andrej Grubisic, et al.. (2020). Characterization of Regolith and Trace Economic Resources (CRATER) Instrument: Integration into the Artemis Program. 2241. 5104.1 indexed citations
Goetz, W., Ricardo Arévalo, Ryan M. Danell, et al.. (2017). Characterization of Minerals by Laser Desorption/Ablation and Ionization in Preparation of the MOMA Investigation Onboard the Exomars Rover. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 2536.1 indexed citations
10.
Grubisic, Andrej, Stephanie Getty, W. B. Brinckerhoff, et al.. (2016). Development of the Switchable Ion Polarity on Linear Ion Trap Mass Spectrometry (LITMS). LPI. 2707.1 indexed citations
11.
Pinnick, V., Ryan M. Danell, F. H. W. van Amerom, et al.. (2016). Mars Organic Molecule Analyzer (MOMA) Mass Spectrometer Flight Model Integration and Test. LPI. 2770.
Brinckerhoff, W., Ryan M. Danell, V. Pinnick, et al.. (2014). Development of a Linear Ion Trap Mass Spectrometer (LITMS) Investigation for Future Planetary Surface Missions.1 indexed citations
14.
Brinckerhoff, W. B., V. Pinnick, F. H. W. van Amerom, et al.. (2013). Mars Organic Molecule Analyzer (MOMA) Mass Spectrometer for ExoMars 2018 and Beyond. LPI. 2912.1 indexed citations
15.
Getty, Stephanie, W. B. Brinckerhoff, Timothy J. Cornish, et al.. (2013). Two-Step Laser Time-of-Flight Mass Spectrometry to Elucidate Organic Diversity in Planetary Surface Materials. Lunar and Planetary Science Conference. 2676.3 indexed citations
16.
Getty, Stephanie, W. B. Brinckerhoff, Ricardo Arévalo, et al.. (2012). A Miniature Laser Desorption/Ionization Time-of-Flight Mass Spectrometer for In Situ Analysis of Mars Surface Composition and Identification of Hazards in Advance of Future Manned Exploration. 1679. 4302.
17.
Brinckerhoff, W. B., F. H. W. van Amerom, Ryan M. Danell, et al.. (2012). Mars Organic Molecule Analyzer Mass Spectrometer for 2018 and Beyond. LPICo. 1679. 4236.
18.
Arévalo, Ricardo, W. B. Brinckerhoff, F. H. W. van Amerom, et al.. (2012). Advancing the Technical Readiness of the MOMA Miniature Linear Ion Trap Mass Spectrometer. LPICo. 1683. 1085.1 indexed citations
19.
Getty, Stephanie, W. B. Brinckerhoff, Timothy J. Cornish, et al.. (2011). Miniature Two-Step Laser TOF Mass Spectrometer with Reversible Ion Polarity. 2490.1 indexed citations
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.