Davinia Font

439 citations
20 papers · 371 · h-index 10

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Horticultural and Viticultural Research
    • Leaf Properties and Growth Measurement

Papers in

Davinia Font

19 papers receiving 354 citations

Peers

Davinia Font
Comparison fields: 5 of 73
  • Analytical Chemistry 85
  • Plant Science 226
  • Ecology 86
  • Tourism, Leisure and Hospitality Management 5
  • Environmental Engineering 35
Replace Dani Martínez with:
Dani Martínez Spain
Sang-Yeon Kim South Korea
Yasushi Kohno Japan
Sandro Augusto Magalhães Portugal
Ioannis Malounas Greece
Luke Yoder United States
Suk-Ju Hong South Korea
Qingzhen Zhu China
Zhenchao Wu China
Jun Che China
Davinia Font relative to Dani Martínez Spain Dani Martínez's profile →
Citations per field
00.5×1.5×
Dani Martínez · 1×
Citations per year

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).

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.

Co-authors

The 11 scholars most cited alongside Davinia Font, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davinia Font Line = papers co-authored together Davinia Font links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201487
2 201565
3 201247
4 201447
5 201421
6 201121
7 201220
8 201416
9 20129
10 20149
11
Experimental application of an autonomous mobile robot for gas leak detection in indoor environments
20146
12 20116
13 20135
14 20133
15 20143
16 20122
17 20142
18 20131
19 20111
20
Diseño y construcción de un robot móvil como herramienta docente en asignaturas de electrónica
19700

About Davinia Font

Davinia Font is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Aerospace Engineering, Analytical Chemistry and Biomedical Engineering, having authored 20 papers that have together received 371 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (5 papers), Robotic Path Planning Algorithms (4 papers), Smart Agriculture and AI (4 papers), Robotics and Sensor-Based Localization (3 papers), Horticultural and Viticultural Research (3 papers), Advanced Chemical Sensor Technologies (3 papers), Insect Pheromone Research and Control (3 papers) and Underwater Vehicles and Communication Systems (2 papers). The work is most often cited by research in Analytical Chemistry (85 citations), Plant Science (226 citations), Ecology (86 citations), Tourism, Leisure and Hospitality Management (5 citations) and Environmental Engineering (35 citations). Davinia Font has collaborated with scholars based in Spain and Switzerland. Frequent co-authors include Marcel Tresánchez, Jordi Palacín, Mercè Teixidó, Tomàs Pallejà, Dani Martínez, Javier Moreno–Valenzuela, Eduard Clotet, M. Nogués, Santiago Marco and Cédric Pradalier. Their work appears in journals such as Sensors, Computers and Electronics in Agriculture, Sensor Letters, Advances in intelligent systems and computing and ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL.

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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