This map shows the geographic impact of Ana Navas'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 Ana Navas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Navas more than expected).
This network shows the impact of papers produced by Ana Navas. 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 Ana Navas. The network helps show where Ana Navas may publish in the future.
Co-authorship network of co-authors of Ana Navas
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Navas.
A scholar is included among the top collaborators of Ana Navas 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 Ana Navas. Ana Navas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Navas, Ana, Alejandra Castillo, Paulina Schuller, et al.. (2019). Combining ^{137}Cs and soil organic carbon for assessing patterns of soil formation in the rapidly changing proglacial environment of the Grey Glacier (Torres del Paine, Chilean Patagonia). EGUGA. 5754.1 indexed citations
Lizaga, Iván, Borja Latorre, Leticia Gaspar, & Ana Navas. (2018). FingerPro mixing model: An R package for sediment tracing. EGU General Assembly Conference Abstracts. 3752.2 indexed citations
11.
Manna, Ludmila La, et al.. (2016). Determinaciones de granulometría en suelos volcánicos: comparación entre distintos métodos analíticos. SHILAP Revista de lepidopterología. 34(2). 355–364.1 indexed citations
12.
Blake, William, Hugh G. Smith, Ana Navas, et al.. (2016). Application of hierarchical Bayesian unmixing models in river sediment source apportionment. DIGITAL.CSIC (Spanish National Research Council (CSIC)).1 indexed citations
Castillo, Alejandra, et al.. (2013). Distribution of fallout and environmental radionuclides in ice-free areas of King George Island (Western Antarctica). EGU General Assembly Conference Abstracts.
15.
Valero‐Garcés, Blas L., Mario Morellón, Celia Martín‐Puertas, et al.. (2009). Una vision paleolimnológica de tres lagos kársticos (Zoñar, Estanya y Taravilla): Evolución sedimentaria y paleohidrológica, clima e impacto humano e implicaciones para la gestión y conservación.. Library Open Repository (Universidad Complutense Madrid).1 indexed citations
16.
López‐Vicente, Manuel, Ana Navas, J. Machı́n, & Leticia Gaspar. (2009). Effect of terraces, sinks and scarps in modelling cumulative overland flow and soil erosion at catchment scale. EGU General Assembly Conference Abstracts. 1493.1 indexed citations
17.
Navas, Ana, et al.. (2006). Estimation de l'état de dégradation des sols sur marnes du Prérif (Maroc) par la susceptibilité magnétique: exemple du bassin versant de l'oued Boussouab. SHILAP Revista de lepidopterología.1 indexed citations
18.
Machı́n, J., et al.. (2005). El río Arlanza en cabecera: evolución reciente y tendencias en condiciones de cambio global. Dialnet (Universidad de la Rioja).6 indexed citations
19.
Navas, Ana. (1989). Una metodología experimental para el estudio del transporte de solutos uy sedimentos por la escorrentía superficial sobre suelos calcáreos y yesíferos. 335–344.1 indexed citations
20.
Navas, Ana, et al.. (1988). Escorrentías superficiales producidas sobre suelos yesíferos sometidos a lluvia simulada. 243–255.1 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.