Fernando Nieto

137 papers and 2.5k indexed citations i.

About

Fernando Nieto is a scholar working on Geophysics, Biomaterials and Artificial Intelligence. According to data from OpenAlex, Fernando Nieto has authored 137 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Geophysics, 58 papers in Biomaterials and 21 papers in Artificial Intelligence. Recurrent topics in Fernando Nieto’s work include Geological and Geochemical Analysis (73 papers), Clay minerals and soil interactions (58 papers) and Geological and Geophysical Studies Worldwide (48 papers). Fernando Nieto is often cited by papers focused on Geological and Geochemical Analysis (73 papers), Clay minerals and soil interactions (58 papers) and Geological and Geophysical Studies Worldwide (48 papers). Fernando Nieto collaborates with scholars based in Spain, Italy and Argentina. Fernando Nieto's co-authors include Isabel Abad, Gabriel Gutiérrez‐Alonso, Donald R. Peacor, Antonio Sánchez‐Navas, Margarita Do Campo, M. Ortega‐Huertas, J. Aróstegui, Nicolás Martínez‐Velilla, José Miguel Azañón and I. Memmi and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Inorganic Chemistry.

In The Last Decade

Co-authorship network of co-authors of Fernando Nieto i

Fields of papers citing papers by Fernando Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Nieto. 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 Fernando Nieto. The network helps show where Fernando Nieto may publish in the future.

Countries citing papers authored by Fernando Nieto

Since Specialization
Citations

This map shows the geographic impact of Fernando Nieto'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 Fernando Nieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Nieto more than expected).

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.

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