Rafael Roa
Impact in
- Statistics and Probability top 2%
- Statistics Education and Methodologies
- Molecular Medicine top 10%
- Hydrogels: synthesis, properties, applications
Papers in
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- Statistics Education and Methodologies 11
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- Microfluidic and Bio-sensing Technologies 4
- Co-authors
- Joachim Dzubiella (13 shared papers)Juan D. Godino (8 shared papers)Carmen Batanero (9 shared papers)Matej Kanduč (9 shared papers)Won Kyu Kim (9 shared papers)F. Carrique (6 shared papers)Stefano Angioletti‐Uberti (2 shared papers)Emilio Ruiz-Reina (5 shared papers)
In The Last Decade
Rafael Roa
34 papers receiving 674 citations
Peers
Comparison fields: 5 of 102
- Statistics and Probability 183
- Molecular Medicine 62
- Physical and Theoretical Chemistry 100
- Theoretical Computer Science 9
- Education 175
Countries citing papers authored by Rafael Roa
This map shows the geographic impact of Rafael Roa'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 Rafael Roa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Roa more than expected).
Fields of papers citing papers by Rafael Roa
This network shows the impact of papers produced by Rafael Roa. 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 Rafael Roa. The network helps show where Rafael Roa may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Roa, 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 | 2004 | 98 | |
| 2 | 2005 | 60 | |
| 3 | 2017 | 56 | |
| 4 | 2018 | 46 | |
| 5 | 2020 | 45 | |
| 6 | 2018 | 31 | |
| 7 | 2011 | 31 | |
| 8 | 2016 | 30 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 28 | |
| 11 | 2017 | 24 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2008 | 16 | |
| 17 | 2016 | 16 | |
| 18 | 2008 | 15 | |
| 19 | 2011 | 12 | |
| 20 | 2013 | 12 |
About Rafael Roa
Rafael Roa is a scholar working on Statistics and Probability, Biomedical Engineering, Physical and Theoretical Chemistry, Materials Chemistry and Geophysics, having authored 36 papers that have together received 723 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (11 papers), Electrostatics and Colloid Interactions (10 papers), Geophysical and Geoelectrical Methods (7 papers), Mathematics Education and Teaching Techniques (5 papers), Material Dynamics and Properties (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Nanomaterials for catalytic reactions (4 papers) and Membrane Separation and Gas Transport (4 papers). The work is most often cited by research in Statistics and Probability (183 citations), Molecular Medicine (62 citations), Physical and Theoretical Chemistry (100 citations), Theoretical Computer Science (9 citations) and Education (175 citations). Rafael Roa has collaborated with scholars based in Spain, Germany and Slovenia. Frequent co-authors include Joachim Dzubiella, Juan D. Godino, Carmen Batanero, Matej Kanduč, Won Kyu Kim, F. Carrique, Stefano Angioletti‐Uberti, Emilio Ruiz-Reina, Yan Lü and Matthias Ballauff. Their work appears in journals such as Soft Matter, Macromolecules, Journal of Colloid and Interface Science, ACS Nano and Physical Chemistry Chemical Physics.
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.