Geomar Mateus Corassa
- Agronomy and Crop Science top 5%
- Crop Yield and Soil Fertility 6
- Agronomic Practices and Intercropping Systems 3
- Ecology top 5%
- Remote Sensing in Agriculture 7
- Plant Science top 5%
- Soybean genetics and cultivation 6
- Growth and nutrition in plants 3
- Soil Science top 10%
- Soil Management and Crop Yield 11
- Soil Carbon and Nitrogen Dynamics 3
- Environmental Engineering top 10%
- Soil Geostatistics and Mapping 5
- Co-authors
- Raí Augusto SchwalbertIgnacio A. CiampittiTelmo Jorge Carneiro AmadoLuan Pierre PottP. V. Vara PrasadWalter D. CarciochiFernando H. AndradeAdam P. Gaspar
- Journals
- SHILAP Revista de lepidopterología (1 paper)Agricultural and Forest Meteorology (1 paper)ISPRS Journal of Photogrammetry and Remote Sensing (1 paper)
- Partner nations
- BrazilUnited StatesIndia
In The Last Decade
Geomar Mateus Corassa
22 papers receiving 652 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Agronomy and Crop Science 127
- Ecology 311
- Plant Science 445
- Soil Science 92
- Environmental Engineering 107
Countries citing papers authored by Geomar Mateus Corassa
This map shows the geographic impact of Geomar Mateus Corassa'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 Geomar Mateus Corassa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geomar Mateus Corassa more than expected).
Fields of papers citing papers by Geomar Mateus Corassa
This network shows the impact of papers produced by Geomar Mateus Corassa. 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 Geomar Mateus Corassa. The network helps show where Geomar Mateus Corassa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Geomar Mateus Corassa, 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 | 2024 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 13 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 63 | |
| 6 | 2020 | 27 | |
| 7 | Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazilbreakdown → | 2020 | 280 |
| 8 | 2019 | 73 | |
| 9 | 2018 | 19 | |
| 10 | 2018 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 54 | |
| 14 | 2016 | 8 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 8 | |
| 17 | High-resolution spacialization of an Oxisol’s acidity attributes by on-the-go sensing | 2016 | 1 |
| 18 | 2014 | 13 | |
| 19 | 2013 | 16 | |
| 20 | 2012 | 4 |
About Geomar Mateus Corassa
Geomar Mateus Corassa is a scholar working on Soil Science, Agronomy and Crop Science and Environmental Engineering, having authored 23 papers that have together received 671 indexed citations. Recurring topics across this work include Soil Management and Crop Yield (11 papers), Remote Sensing in Agriculture (7 papers), Soybean genetics and cultivation (6 papers), Crop Yield and Soil Fertility (6 papers), Soil Geostatistics and Mapping (5 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Agronomic Practices and Intercropping Systems (3 papers) and Growth and nutrition in plants (3 papers). The work is most often cited by research in Agronomy and Crop Science (127 citations), Ecology (311 citations) and Plant Science (445 citations). Geomar Mateus Corassa has collaborated with scholars based in Brazil, United States and India. Frequent co-authors include Raí Augusto Schwalbert, Ignacio A. Ciampitti, Telmo Jorge Carneiro Amado, Luan Pierre Pott, P. V. Vara Prasad, Walter D. Carciochi, Fernando H. Andrade, Adam P. Gaspar, Nahuel Raúl Peralta and Charles W. Rice. Their work appears in journals such as SHILAP Revista de lepidopterología, Agricultural and Forest Meteorology and ISPRS Journal of Photogrammetry and 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.