C. da S. Chagas

854 total citations
51 papers, 653 citations indexed

About

C. da S. Chagas is a scholar working on Environmental Engineering, Water Science and Technology and Soil Science. According to data from OpenAlex, C. da S. Chagas has authored 51 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Environmental Engineering, 22 papers in Water Science and Technology and 21 papers in Soil Science. Recurrent topics in C. da S. Chagas's work include Soil Geostatistics and Mapping (28 papers), Geography and Environmental Studies (21 papers) and Soil Management and Crop Yield (15 papers). C. da S. Chagas is often cited by papers focused on Soil Geostatistics and Mapping (28 papers), Geography and Environmental Studies (21 papers) and Soil Management and Crop Yield (15 papers). C. da S. Chagas collaborates with scholars based in Brazil, Sudan and United States. C. da S. Chagas's co-authors include S. B. Bhering, Waldir de Carvalho, Braz Calderano Filho, Elpı́dio Inácio Fernandes Filho, Philippe Lagacherie, Lúcia Helena Cunha dos Anjos, José Alexandre Melo Demattê, Carlos Ernesto Gonçalves Reynaud Schaefer, Arnaldo Barros e Souza and Caio Troula Fongaro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geoderma and Remote Sensing.

In The Last Decade

C. da S. Chagas

46 papers receiving 627 citations

Peers

C. da S. Chagas
Comparison fields: 5 of 70
  • Environmental Engineering 423
  • Soil Science 293
  • Management, Monitoring, Policy and Law 150
  • Ecology 134
  • Artificial Intelligence 132
Replace Yones Khaledian with:
Yones Khaledian United States
Élvio Giasson Brazil
Nathan Odgers Australia
S. Dharumarajan India
R.G. Eilers Canada
Naser Davatgar Iran
Mercedes Román Dobarco Australia
Waldir de Carvalho Brazil
M. Lalitha India
Amélie Beucher Denmark
Yones Khaledian United States View profile →
Citations per field, relative to C. da S. Chagas
C. da S. Chagas · 1×
Citations per year, relative to C. da S. Chagas
C. da S. Chagas · 1×

Countries citing papers authored by C. da S. Chagas

Since Specialization
Citations

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

Fields of papers citing papers by C. da S. Chagas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. da S. Chagas. 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 C. da S. Chagas. The network helps show where C. da S. Chagas may publish in the future.

Co-authorship network of co-authors of C. da S. Chagas

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 20
4 5
5 208
6
Artificial neural networks applied for soil class prediction in mountainous landscape of the Serra do Mar¹
1
7
Levantamento semidetalhado dos solos da microbacia do Córrego do Pito Aceso, Município de Bom Jardim, região serrana do Estado do Rio de Janeiro - RJ.
2
8 15
9 19
10 6
11 2
12
FRAGILIDADE AMBIENTAL DA BACIA HIDROGRÁFICA DO RIO ALMADA – BAHIA
2
13 17
14 4
15
COMPARAÇÃO ENTRE IMAGENS ASTER E LANDSAT 7 NA CLASSIFICAÇÃO DE NÍVEIS DE DEGRADAÇÃO DE PASTAGENS UTILIZANDO REDES NEURAIS ARTIFICIAIS
0
16 18
17 12
18 7
19
Preliminary study on the use of the 137 Cs method for soil erosion investigation in the pampean region of Argentina
14
20
Orientação das camadas de rochas metapelíticas pobres na gênese de latossolos sob cerrado
15

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026