Ciro Potena
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
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- Remote Sensing in Agriculture
Papers in
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- Smart Agriculture and AI 6
- Horticultural and Viticultural Research 1
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- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Alberto Pretto (4 shared papers)Daniele Nardi (4 shared papers)Giorgio Grisetti (1 shared paper)Mulham Fawakherji (2 shared papers)Domenico D. Bloisi (2 shared papers)Roland Siegwart (1 shared paper)Raghav Khanna (1 shared paper)Juan Nieto (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (2 papers)Robotics and Autonomous Systems (1 paper)IRIS Research product catalog (Sapienza University of Rome) (1 paper)CINECA IRIS Institutional Research Information System (University of Basilicata) (1 paper)Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (1 paper)
- Partner nations
- ItalyBelgiumSwitzerland
In The Last Decade
Ciro Potena
8 papers receiving 322 citations
Peers
Comparison fields: 5 of 53
- Plant Science 236
- Ecology 89
- Environmental Engineering 47
- Computer Vision and Pattern Recognition 66
- Analytical Chemistry 29
Countries citing papers authored by Ciro Potena
This map shows the geographic impact of Ciro Potena'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 Ciro Potena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ciro Potena more than expected).
Fields of papers citing papers by Ciro Potena
This network shows the impact of papers produced by Ciro Potena. 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 Ciro Potena. The network helps show where Ciro Potena may publish in the future.
Co-authors
The 12 scholars most cited alongside Ciro Potena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 118 | |
| 2 | 2021 | 76 | |
| 3 | 2019 | 71 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 6 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 2 |
About Ciro Potena
Ciro Potena is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Ecology, Environmental Engineering and Aerospace Engineering, having authored 8 papers that have together received 329 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Remote Sensing in Agriculture (3 papers), Remote Sensing and LiDAR Applications (2 papers), Robotics and Sensor-Based Localization (2 papers), Horticultural and Viticultural Research (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Plant Science (236 citations), Ecology (89 citations), Environmental Engineering (47 citations), Computer Vision and Pattern Recognition (66 citations) and Analytical Chemistry (29 citations). Ciro Potena has collaborated with scholars based in Italy, Belgium and Switzerland. Frequent co-authors include Alberto Pretto, Daniele Nardi, Giorgio Grisetti, Mulham Fawakherji, Domenico D. Bloisi, Roland Siegwart, Raghav Khanna, Juan Nieto, Giovanni Ulivi and Emanuele Garone. Their work appears in journals such as IEEE Robotics and Automation Letters, Robotics and Autonomous Systems, IRIS Research product catalog (Sapienza University of Rome), CINECA IRIS Institutional Research Information System (University of Basilicata) and Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).
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.