Daniel Capella Zanotta
- Ecology top 10%
- Environmental Engineering top 10%
- Media Technology top 5%
- Global and Planetary Change
- Atmospheric Science
- Co-authors
- Matheus Pinheiro FerreiraMaciel ZorteaYosio Edemir ShimabukuroCarlos Roberto de Souza FilhoMaurício Roberto VeronezLuiz GonzagaEniuce Menezes de SouzaFrederico Fábio Mauad
- Topics
- Remote-Sensing Image Classification (20 papers)Remote Sensing in Agriculture (12 papers)Remote Sensing and Land Use (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentScientific Reports
In The Last Decade
Daniel Capella Zanotta
35 papers receiving 417 citations
Peers
Comparison fields: 5 of 65
- Ecology 211
- Environmental Engineering 148
- Media Technology 118
- Global and Planetary Change 89
- Atmospheric Science 68
Countries citing papers authored by Daniel Capella Zanotta
This map shows the geographic impact of Daniel Capella Zanotta'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 Capella Zanotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Capella Zanotta more than expected).
Fields of papers citing papers by Daniel Capella Zanotta
This network shows the impact of papers produced by Daniel Capella Zanotta. 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 Capella Zanotta. The network helps show where Daniel Capella Zanotta may publish in the future.
Co-authorship network of co-authors of Daniel Capella Zanotta
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Capella Zanotta. A scholar is included among the top collaborators of Daniel Capella Zanotta 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 Capella Zanotta. Daniel Capella Zanotta 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 25 | |
| 20 | 1 |
About Daniel Capella Zanotta
Daniel Capella Zanotta is a scholar working on Media Technology, Geology and Space and Planetary Science, having authored 42 papers that have together received 427 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (20 papers), Remote Sensing in Agriculture (12 papers) and Remote Sensing and Land Use (7 papers). The work is most often cited by research in Ecological Modeling (59 citations), Media Technology (118 citations) and Environmental Engineering (148 citations). Daniel Capella Zanotta has collaborated with scholars based in Brazil, Italy and Norway. Frequent co-authors include Matheus Pinheiro Ferreira, Maciel Zortea, Yosio Edemir Shimabukuro, Carlos Roberto de Souza Filho, Maurício Roberto Veronez, Luiz Gonzaga, Eniuce Menezes de Souza, Frederico Fábio Mauad, Lorenzo Bruzzone and Laurindo Antônio Guasselli. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.
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.