R. San Martín
- Soil Science top 5%
- Soil erosion and sediment transport 7
- Endocrinology top 10%
- Food Science top 5%
- Plant Science top 10%
- Plant Disease Management Techniques 4
- Plant Virus Research Studies 3
- Cell Biology top 10%
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- Hydrology and Sediment Transport Processes 5
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- Hydrology and Watershed Management Studies 4
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- Forest ecology and management 4
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- Plant Water Relations and Carbon Dynamics 3
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- Advanced Statistical Methods and Models 3
- Co-authors
- Jorge Mongil MansoJoaquín Navarro HeviaEduardo AgosínAlfonso GordalizaLuis Ángel García-EscuderoTomás AdzetR. GrangerEmilio A. Martı́nez
- Journals
- SHILAP Revista de lepidopterología (2 papers)Frontiers in Plant Science (1 paper)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- SpainChileUnited States
In The Last Decade
R. San Martín
36 papers receiving 770 citations
Peers
Comparison fields: 5 of 92
- Soil Science 132
- Endocrinology 49
- Food Science 160
- Plant Science 301
- Cell Biology 129
Countries citing papers authored by R. San Martín
This map shows the geographic impact of R. San Martín'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 R. San Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. San Martín more than expected).
Fields of papers citing papers by R. San Martín
This network shows the impact of papers produced by R. San Martín. 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 R. San Martín. The network helps show where R. San Martín may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. San Martín, 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 | 2023 | 13 | |
| 3 | 2021 | 12 | |
| 4 | 2019 | 12 | |
| 5 | 2017 | 7 | |
| 6 | 2016 | 1 | |
| 7 | 2016 | 27 | |
| 8 | 2016 | 33 | |
| 9 | 2015 | 32 | |
| 10 | 2015 | 1 | |
| 11 | 2013 | 17 | |
| 12 | 2012 | 3 | |
| 13 | 2010 | 21 | |
| 14 | 2008 | 80 | |
| 15 | 2002 | 5 | |
| 16 | Confirmatory factor analysis on the dimensions of commitment to the organization. | 1998 | 0 |
| 17 | 1997 | 21 | |
| 18 | 1996 | 71 | |
| 19 | 1995 | 47 | |
| 20 | 1982 | 47 |
About R. San Martín
R. San Martín is a scholar working on Soil Science, Endocrinology and Nature and Landscape Conservation, having authored 37 papers that have together received 837 indexed citations. Recurring topics across this work include Soil erosion and sediment transport (7 papers), Hydrology and Sediment Transport Processes (5 papers), Plant Disease Management Techniques (4 papers), Hydrology and Watershed Management Studies (4 papers), Forest ecology and management (4 papers), Plant Water Relations and Carbon Dynamics (3 papers), Plant Virus Research Studies (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Soil Science (132 citations), Endocrinology (49 citations) and Food Science (160 citations). R. San Martín has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Jorge Mongil Manso, Joaquín Navarro Hevia, Eduardo Agosín, Alfonso Gordaliza, Luis Ángel García-Escudero, Tomás Adzet, R. Granger, Emilio A. Martı́nez, Agustín Mayo-Íscar and B. A. Latorre. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.