Da Silva

495 citations
47 papers · 316 · h-index 11

Impact in

Papers in

Da Silva

30 papers receiving 299 citations

Peers

Da Silva
Comparison fields: 5 of 57
  • Water Science and Technology 199
  • Soil Science 129
  • Global and Planetary Change 125
  • Environmental Engineering 66
  • Ecology 74
Replace Shuangyan Jin with:
Shuangyan Jin China
Eduardo Morgan Uliana Brazil
Wakjira Takala Dibaba Ethiopia
Darcy K. Molnár United States
Kidane Welde Reda Ethiopia
Mingfang Zhang China
Leonardo Laipelt Brazil
Kamlesh Narayan Tiwari India
H. Post Germany
Jean‐Marie Kileshye Onema South Africa
Da Silva relative to Shuangyan Jin China Shuangyan Jin's profile →
Citations per field
00.5×1.5×
Shuangyan Jin · 1×
Citations per year

Countries citing papers authored by Da Silva

Since Specialization
Citations

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

Fields of papers citing papers by Da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da Silva. 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 Da Silva. The network helps show where Da Silva may publish in the future.

Co-authors

The 19 scholars most cited alongside Da Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Da Silva Line = papers co-authored together Da Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201148
2 200946
3 200937
4 200625
5 200319
6 200718
7 200817
8 200715
9 201013
10 200711
11 200311
12 200811
13 20116
14 20125
15 20163
16 20053
17 20173
18
The Hispanic Connection: Spanish and Spanish-American Literature in the Arts of the World
20043
19
Parasitoses in outdoor pig production.
20002
20 20172

About Da Silva

Da Silva is a scholar working on Soil Science, Literature and Literary Theory, Water Science and Technology, Environmental Engineering and Language and Linguistics, having authored 47 papers that have together received 316 indexed citations. Recurring topics across this work include Soil erosion and sediment transport (6 papers), Hydrology and Watershed Management Studies (6 papers), Second Language Learning and Teaching (5 papers), Irrigation Practices and Water Management (5 papers), EFL/ESL Teaching and Learning (5 papers), Soil Geostatistics and Mapping (4 papers), Geography and Environmental Studies (4 papers) and Linguistics and Education Research (4 papers). The work is most often cited by research in Water Science and Technology (199 citations), Soil Science (129 citations), Global and Planetary Change (125 citations), Environmental Engineering (66 citations) and Ecology (74 citations). Da Silva has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include Carlos Rogério de Mello, Marcelo Ribeiro Viola, Samuel Beskow, Lloyd Darrell Norton, Fausto Weimar Acérbi Júnior, José Maria de Lima, Léo Fernandes Ávila, Daniel Furtado Ferreira, Manoel Alves de Faria and Marcelo Silva de Oliveira. Their work appears in journals such as Engenharia Agrícola, Revista Brasileira de Engenharia Agrícola e Ambiental, Computers in Biology and Medicine, CATENA and Texto Livre Linguagem e Tecnologia.

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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