Davinia Font

14 papers and 271 indexed citations i.

About

Davinia Font is a scholar working on Plant Science, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Davinia Font has authored 14 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Analytical Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Davinia Font’s work include Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (4 papers) and Insect Pheromone Research and Control (2 papers). Davinia Font is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (4 papers) and Insect Pheromone Research and Control (2 papers). Davinia Font collaborates with scholars based in Spain and Switzerland. Davinia Font's co-authors include Marcel Tresánchez, Jordi Palacín, Mercè Teixidó, Javier Moreno–Valenzuela, Tomàs Pallejà, Dani Martínez, Eduard Clotet, M. Nogués, Cédric Pradalier and Santiago Marco and has published in prestigious journals such as Sensors, Computers and Electronics in Agriculture and Sensor Letters.

In The Last Decade

Co-authorship network of co-authors of Davinia Font i

Fields of papers citing papers by Davinia Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Davinia Font

Since Specialization
Citations

This map shows the geographic impact of Davinia Font'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 Davinia Font with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davinia Font 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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2025