Jone Echazarra
- Plant Science top 5%
- Analytical Chemistry top 1%
- Ecology top 10%
- Cell Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Artzai PicónAitor Álvarez-GilaAmaia Ortiz‐BarredoSergio Rodríguez-VaamondeAna María Díez-NavajasUnai IrustaArantza Bereciartúa-PérezChristian Klukas
- Topics
- Smart Agriculture and AI (7 papers)Spectroscopy and Chemometric Analyses (2 papers)Plant Disease Management Techniques (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers and Electronics in AgricultureApplied Sciences
In The Last Decade
Jone Echazarra
7 papers receiving 823 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Plant Science 774
- Analytical Chemistry 331
- Ecology 173
- Cell Biology 49
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Jone Echazarra
This map shows the geographic impact of Jone Echazarra'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 Jone Echazarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jone Echazarra more than expected).
Fields of papers citing papers by Jone Echazarra
This network shows the impact of papers produced by Jone Echazarra. 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 Jone Echazarra. The network helps show where Jone Echazarra may publish in the future.
Co-authorship network of co-authors of Jone Echazarra
This figure shows the co-authorship network connecting the top 25 collaborators of Jone Echazarra. A scholar is included among the top collaborators of Jone Echazarra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jone Echazarra. Jone Echazarra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 152 | |
| 7 | Deep convolutional neural networks for mobile capture device-based crop disease classification in the wildbreakdown → | 367 |
| 8 | Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use casebreakdown → | 300 |
About Jone Echazarra
Jone Echazarra is a scholar working on Analytical Chemistry, Plant Science and Industrial and Manufacturing Engineering, having authored 8 papers that have together received 851 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (2 papers) and Plant Disease Management Techniques (2 papers). The work is most often cited by research in Analytical Chemistry (331 citations), Plant Science (774 citations) and Ecology (173 citations). Jone Echazarra has collaborated with scholars based in Spain and Germany. Frequent co-authors include Artzai Picón, Aitor Álvarez-Gila, Amaia Ortiz‐Barredo, Sergio Rodríguez-Vaamonde, Ana María Díez-Navajas, Unai Irusta, Arantza Bereciartúa-Pérez, Christian Klukas, Jeroen Baert and Alberto Serrano. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers and Electronics in Agriculture and Applied Sciences.
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.