Daniel Garbellini Duft
- Plant Science
- Ecology top 10%
- Environmental Engineering top 10%
- Biomedical Engineering
- Global and Planetary Change
- Co-authors
- Ana Cláudia dos Santos LucianoManoel Regis Lima Verde LealJansle Vieira RochaMichelle Cristina Araújo PicoliRubens Augusto Camargo LamparelliThayse Aparecida Dourado HernandesGuerric Le MaireHenrique Coutinho Junqueira Franco
- Topics
- Sugarcane Cultivation and Processing (13 papers)Remote Sensing in Agriculture (10 papers)Biofuel production and bioconversion (5 papers)
In The Last Decade
Daniel Garbellini Duft
22 papers receiving 322 citations
Peers
Comparison fields: 5 of 60
- Plant Science 171
- Ecology 159
- Environmental Engineering 105
- Biomedical Engineering 57
- Global and Planetary Change 46
Countries citing papers authored by Daniel Garbellini Duft
This map shows the geographic impact of Daniel Garbellini Duft'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 Daniel Garbellini Duft with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Garbellini Duft more than expected).
Fields of papers citing papers by Daniel Garbellini Duft
This network shows the impact of papers produced by Daniel Garbellini Duft. 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 Daniel Garbellini Duft. The network helps show where Daniel Garbellini Duft may publish in the future.
Co-authorship network of co-authors of Daniel Garbellini Duft
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Garbellini Duft. A scholar is included among the top collaborators of Daniel Garbellini Duft 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 Daniel Garbellini Duft. Daniel Garbellini Duft is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 37 | |
| 3 | 19 | |
| 4 | 30 | |
| 5 | Sentinel-2B and Random Forest algorithm potential for sugarcane varieties identification. | 4 |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 39 | |
| 10 | 8 | |
| 11 | 13 | |
| 12 | 16 | |
| 13 | 69 | |
| 14 | 4 | |
| 15 | Identification of gaps in sugarcane plantations using UAV images. | 3 |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 3 |
About Daniel Garbellini Duft
Daniel Garbellini Duft is a scholar working on Forestry, Plant Science and Ecology, having authored 22 papers that have together received 333 indexed citations. Recurring topics across this work include Sugarcane Cultivation and Processing (13 papers), Remote Sensing in Agriculture (10 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Environmental Engineering (105 citations), Ecology (159 citations) and Plant Science (171 citations). Daniel Garbellini Duft has collaborated with scholars based in Brazil, France and Réunion. Frequent co-authors include Ana Cláudia dos Santos Luciano, Manoel Regis Lima Verde Leal, Jansle Vieira Rocha, Michelle Cristina Araújo Picoli, Rubens Augusto Camargo Lamparelli, Thayse Aparecida Dourado Hernandes, Guerric Le Maire, Henrique Coutinho Junqueira Franco, Oriel Tiago Kölln and Guilherme Martineli Sanches. Their work appears in journals such as Journal of Cleaner Production, Resources Conservation and Recycling and International Journal of Remote Sensing.
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.