Geomar Mateus Corassa
- Plant Science top 5%
- Ecology top 5%
- Agronomy and Crop Science top 5%
- Environmental Engineering top 10%
- Soil Science top 10%
- Co-authors
- Raí Augusto SchwalbertIgnacio A. CiampittiTelmo Jorge Carneiro AmadoLuan Pierre PottP. V. Vara PrasadWalter D. CarciochiFernando H. AndradeAdam P. Gaspar
- Topics
- Soil Management and Crop Yield (11 papers)Remote Sensing in Agriculture (7 papers)Soybean genetics and cultivation (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaAgricultural and Forest MeteorologyISPRS Journal of Photogrammetry and Remote Sensing
- Partner nations
- BrazilUnited StatesIndia
In The Last Decade
Geomar Mateus Corassa
22 papers receiving 652 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Plant Science 445
- Ecology 311
- Agronomy and Crop Science 127
- Environmental Engineering 107
- Soil Science 92
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 of co-authors of Geomar Mateus Corassa
This figure shows the co-authorship network connecting the top 25 collaborators of Geomar Mateus Corassa. A scholar is included among the top collaborators of Geomar Mateus Corassa 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 Geomar Mateus Corassa. Geomar Mateus Corassa 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 | 0 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 63 | |
| 6 | 27 | |
| 7 | Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazilbreakdown → | 280 |
| 8 | 73 | |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 54 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | High-resolution spacialization of an Oxisol’s acidity attributes by on-the-go sensing | 1 |
| 18 | 13 | |
| 19 | 16 | |
| 20 | 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) and Soybean genetics and cultivation (6 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.