G. J. C. Gava

560 citations
10 papers · 425 indexed · h-index 6

G. J. C. Gava

8 papers receiving 397 citations

Peers

G. J. C. Gava
Comparison fields: 5 of 44
  • Plant Science 307
  • Soil Science 225
  • Biomedical Engineering 102
  • Agronomy and Crop Science 55
  • Environmental Engineering 28
Replace Lucas Santos Satiro with:
Lucas Santos Satiro Brazil
Pinfang Li China
G. Kingston Australia
Mauro Wagner de Oliveira Brazil
Prabhakar Mahapatra India
J. O. Ogunwole Nigeria
Gustavo Caione Brazil
Sérgio Gustavo Quassi de Castro Brazil
Lauren Maine Santos Menandro Brazil
Selenobaldo Alexinaldo Cabral Sant’Anna Brazil
G. J. C. Gava relative to Lucas Santos Satiro Brazil Lucas Santos Satiro's profile →
Citations per field
00.5×1.6×
Lucas Santos Satiro · 1×
Citations per year

Countries citing papers authored by G. J. C. Gava

Since Specialization
Citations

This map shows the geographic impact of G. J. C. Gava'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 G. J. C. Gava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. J. C. Gava more than expected).

Fields of papers citing papers by G. J. C. Gava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. J. C. Gava. 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 G. J. C. Gava. The network helps show where G. J. C. Gava may publish in the future.

Co-authorship network of co-authors of G. J. C. Gava

This figure shows the co-authorship network connecting the top 25 collaborators of G. J. C. Gava. A scholar is included among the top collaborators of G. J. C. Gava 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 G. J. C. Gava. G. J. C. Gava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 58
2 50
3
Increased sugarcane water productivity in Brazil avoids land use change and related environmental impacts
1
4 180
5
Productivity of stalk and sucrose in sugarcane in relation to cultivar and ripener interaction.
2
6 3
7 60
8 24
9 46
10
Decomposição de palhada de cana-de-açúcar em campo
1

About G. J. C. Gava

G. J. C. Gava is a scholar working on Plant Science, Soil Science and Agronomy and Crop Science, having authored 10 papers that have together received 425 indexed citations. Recurring topics across this work include Sugarcane Cultivation and Processing (10 papers), Rice Cultivation and Yield Improvement (3 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Soil Science (225 citations), Plant Science (307 citations) and Agronomy and Crop Science (55 citations). G. J. C. Gava has collaborated with scholars based in Brazil, Peru and United States. Frequent co-authors include André Cesar Vitti, Paulo César Ocheuze Trivelin, Mauro Wagner de Oliveira, Eráclito Sousa Neto, Cristiano Alberto de Andrade, Luiz Antônio Martinelli, Janaína Braga do Carmo, Solange Filoso, Leonardo Machado Pitombo and Raffaella Rossetto. Their work appears in journals such as Soil and Tillage Research, GCB Bioenergy and Revista Brasileira de Ciência do Solo.

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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