Fernando Neto da Silva

491 citations
28 papers · 381 indexed · h-index 11

Fernando Neto da Silva

27 papers receiving 351 citations

Peers

Fernando Neto da Silva
Comparison fields: 5 of 75
  • Fluid Flow and Transfer Processes 77
  • Renewable Energy, Sustainability and the Environment 116
  • Biomedical Engineering 175
  • Mechanical Engineering 134
  • Energy Engineering and Power Technology 10
Replace Farzad Jaliliantabar with:
Farzad Jaliliantabar Iran
Wanignon Ferdinand Fassinou Ivory Coast
Widya Wijayanti Indonesia
Muhammad Ikhsan Taipabu Taiwan
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A. G. M. B. Mustayen Australia
Pradeepta Kumar Sahoo India
Zahid Anwar Pakistan
Fevzi Yaşar Türkiye
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Citations per year

Countries citing papers authored by Fernando Neto da Silva

Since Specialization
Citations

This map shows the geographic impact of Fernando Neto 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 Fernando Neto 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 Fernando Neto da Silva more than expected).

Fields of papers citing papers by Fernando Neto da Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fernando Neto 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 Fernando Neto da Silva Line = papers co-authored together Fernando Neto da Silva links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 202316
4 202116
5 20209
6 20201
7 201812
8 20176
9
O USO DE REDES NEURAIS ARTIFICIAIS NA OTIMIZAÇÃO DO PROCESSO DE SECAGEM CONVECTIVA DE ALIMENTOS E REDUÇÃO DO CONSUMO ENERGÉTICO
20171
10 20162
11 201612
12 20131
13 20134
14 20133
15 20121
16
OPTIMIZED OPERATING DRYING CONTROL FOR TEMPERATURE, RELATIVE HUMIDITY AND AIR VELOCITY PARAMETERS BY MEANS OF FUZZY LOGIC APPROACH
20112
17 20101
18 200611
19 200315
20 200397

About Fernando Neto da Silva

Fernando Neto da Silva is a scholar working on Developmental Biology, Renewable Energy, Sustainability and the Environment and Mechanical Engineering, having authored 28 papers that have together received 381 indexed citations. Recurring topics across this work include Phase Change Materials Research (5 papers), Adsorption and Cooling Systems (4 papers), Biodiesel Production and Applications (3 papers), Food Drying and Modeling (3 papers), Advanced Control Systems Optimization (3 papers), Freezing and Crystallization Processes (3 papers), Solar Thermal and Photovoltaic Systems (3 papers) and Environmental Impact and Sustainability (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (77 citations), Renewable Energy, Sustainability and the Environment (116 citations) and Biomedical Engineering (175 citations). Fernando Neto da Silva has collaborated with scholars based in Portugal, Switzerland and Canada. Frequent co-authors include Margarida C. Coelho, Smritikana Dutta, V.A.F. Costa, Fernando Almeida, Tiago Silva, João Dias-de-Oliveira, C. Amaral, Jorge Ferreira, A. Andrade‐Campos and Jorge A. Saraiva. Their work appears in journals such as Bioresource Technology, Inorganic Chemistry and International Journal of Heat and Mass Transfer.

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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