Davinia Font
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 266 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 Advanced Optical Sensing Technologies (2 papers). Davinia Font is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Smart Agriculture and AI (4 papers) and Advanced Optical Sensing Technologies (2 papers). Davinia Font collaborates with scholars based in Spain and Switzerland. Davinia Font's co-authors include Marcel Tresánchez, Mercè Teixidó, Jordi Palacín, Tomàs Pallejà and Javier Moreno–Valenzuela and has published in prestigious journals such as Sensors, Computers and Electronics in Agriculture and Sensor Letters.
In The Last Decade
Fields of papers citing papers by Davinia Font
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Davinia Font. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Davinia Font may publish in the future.
Countries citing papers authored by Davinia Font
Since SpecializationCitations
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).
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