Dani Martínez
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Horticultural and Viticultural Research
Papers in
-
- Robotic Path Planning Algorithms 8
- Context-Aware Activity Recognition Systems 3
-
- Advanced Chemical Sensor Technologies 7
- Co-authors
- Jordi Palacín (26 shared papers)Marcel Tresánchez (25 shared papers)Javier Moreno–Valenzuela (21 shared papers)Eduard Clotet (14 shared papers)Davinia Font (10 shared papers)Tomàs Pallejà (8 shared papers)Mercè Teixidó (11 shared papers)Santiago Marco (9 shared papers)
- Journals
- Sensors (7 papers)Computers and Electronics in Agriculture (2 papers)Microsystem Technologies (1 paper)Robotics (1 paper)Phytopathology (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Dani Martínez
32 papers receiving 516 citations
Peers
Comparison fields: 5 of 90
- Analytical Chemistry 69
- Plant Science 219
- Computer Vision and Pattern Recognition 96
- Control and Systems Engineering 95
- Sensory Systems 18
Countries citing papers authored by Dani Martínez
This map shows the geographic impact of Dani Martínez'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 Dani Martínez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dani Martínez more than expected).
Fields of papers citing papers by Dani Martínez
This network shows the impact of papers produced by Dani Martínez. 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 Dani Martínez. The network helps show where Dani Martínez may publish in the future.
Co-authors
The 25 scholars most cited alongside Dani Martínez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2015 | 65 | |
| 3 | 2014 | 47 | |
| 4 | 2016 | 45 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 39 | |
| 7 | 2013 | 38 | |
| 8 | 2019 | 24 | |
| 9 | 2014 | 21 | |
| 10 | 2014 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2013 | 15 | |
| 13 | 2016 | 11 | |
| 14 | 2017 | 11 | |
| 15 | 2017 | 9 | |
| 16 | 2014 | 9 | |
| 17 | Experimental application of an autonomous mobile robot for gas leak detection in indoor environments | 2014 | 6 |
| 18 | 2011 | 6 | |
| 19 | 2015 | 5 | |
| 20 | 2015 | 5 |
About Dani Martínez
Dani Martínez is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Plant Science, Control and Systems Engineering and Aerospace Engineering, having authored 35 papers that have together received 544 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Insect Pheromone Research and Control (7 papers), Advanced Chemical Sensor Technologies (7 papers), Robotics and Sensor-Based Localization (5 papers), Robotics and Automated Systems (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Analytical Chemistry (69 citations), Plant Science (219 citations), Computer Vision and Pattern Recognition (96 citations), Control and Systems Engineering (95 citations) and Sensory Systems (18 citations). Dani Martínez has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Jordi Palacín, Marcel Tresánchez, Javier Moreno–Valenzuela, Eduard Clotet, Davinia Font, Tomàs Pallejà, Mercè Teixidó, Santiago Marco, Jordi Casanovas and Lance Cadle‐Davidson. Their work appears in journals such as Sensors, Computers and Electronics in Agriculture, Microsystem Technologies, Robotics and Phytopathology.
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.