Marco Sozzi
Impact in
- Plant Science top 5%
- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Leaf Properties and Growth Measurement
- Ecology top 5%
- Remote Sensing in Agriculture
Papers in ⓘ
-
- Horticultural and Viticultural Research 19
- Smart Agriculture and AI 8
- Ecology 22
- Remote Sensing in Agriculture 22
- Co-authors
- Francesco Marinello (40 shared papers)Ahmed Kayad (17 shared papers)Alessia Cogato (14 shared papers)Simone Gatto (3 shared papers)Francesco Pirotti (2 shared papers)Luigi Sartori (10 shared papers)Andrea Pezzuolo (8 shared papers)James A. Taylor (1 shared paper)
In The Last Decade
Marco Sozzi
44 papers receiving 819 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Plant Science 520
- Ecology 353
- Environmental Engineering 159
- Analytical Chemistry 85
- Tourism, Leisure and Hospitality Management 12
Countries citing papers authored by Marco Sozzi
This map shows the geographic impact of Marco Sozzi'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 Marco Sozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Sozzi more than expected).
Fields of papers citing papers by Marco Sozzi
This network shows the impact of papers produced by Marco Sozzi. 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 Marco Sozzi. The network helps show where Marco Sozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Sozzi, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms Hit paper breakdown → | 2022 | 167 |
| 2 | 2019 | 125 | |
| 3 | 2020 | 54 | |
| 4 | 2022 | 53 | |
| 5 | 2021 | 50 | |
| 6 | 2022 | 40 | |
| 7 | 2023 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2023 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2017 | 23 | |
| 12 | 2020 | 21 | |
| 13 | 2022 | 14 | |
| 14 | 2019 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2021 | 10 |
About Marco Sozzi
Marco Sozzi is a scholar working on Plant Science, Ecology, Global and Planetary Change, Environmental Engineering and Civil and Structural Engineering, having authored 50 papers that have together received 836 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Horticultural and Viticultural Research (19 papers), Remote Sensing and LiDAR Applications (8 papers), Smart Agriculture and AI (8 papers), Land Use and Ecosystem Services (6 papers), Soil Mechanics and Vehicle Dynamics (5 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Plant Science (520 citations), Ecology (353 citations), Environmental Engineering (159 citations), Analytical Chemistry (85 citations) and Tourism, Leisure and Hospitality Management (12 citations). Marco Sozzi has collaborated with scholars based in Italy, Australia and China. Frequent co-authors include Francesco Marinello, Ahmed Kayad, Alessia Cogato, Simone Gatto, Francesco Pirotti, Luigi Sartori, Andrea Pezzuolo, James A. Taylor, Bruno Tisseyre and Francelino A. Rodrigues. Their work appears in journals such as Computers and Electronics in Agriculture, Agronomy, Biosystems Engineering, Field Crops Research and Energies.
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.