Daniel Capella Zanotta

33 papers and 356 indexed citations i.

About

Daniel Capella Zanotta is a scholar working on Media Technology, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Capella Zanotta has authored 33 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Media Technology, 12 papers in Ecology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Capella Zanotta’s work include Remote-Sensing Image Classification (16 papers), Remote Sensing in Agriculture (10 papers) and Remote Sensing and Land Use (5 papers). Daniel Capella Zanotta is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Remote Sensing in Agriculture (10 papers) and Remote Sensing and Land Use (5 papers). Daniel Capella Zanotta collaborates with scholars based in Brazil, Italy and Germany. Daniel Capella Zanotta's 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, Camilo Daleles Rennó and Laurindo Antônio Guasselli and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Daniel Capella Zanotta i

Fields of papers citing papers by Daniel Capella Zanotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Capella Zanotta

Since Specialization
Citations

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).

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.

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