R. Salgado

447 citations
35 papers · 344 · h-index 11

Impact in

Papers in

R. Salgado

34 papers receiving 328 citations

Peers

R. Salgado
Comparison fields: 5 of 30
  • Safety, Risk, Reliability and Quality 71
  • Electrical and Electronic Engineering 323
  • Control and Systems Engineering 105
  • Numerical Analysis 12
  • Statistics, Probability and Uncertainty 13
Replace R.B. Prada with:
R.B. Prada Brazil
K. Demaree United States
P. Ristanovic Germany
Joseph M. Bright United States
M.J. Short United Kingdom
V. Leonardo Paucar Brazil
Michele Trovato Italy
T.E. Dy Liacco United States
Hossein Sharifzadeh Iran
D. R. Vierath United States
R. Salgado relative to R.B. Prada Brazil R.B. Prada's profile →
Citations per field
00.5×
R.B. Prada · 1×
Citations per year

Countries citing papers authored by R. Salgado

Since Specialization
Citations

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

Fields of papers citing papers by R. Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside R. Salgado, 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 R. Salgado Line = papers co-authored together R. Salgado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200558
2 200030
3 201129
4 200327
5 200124
6 200123
7 200119
8 198512
9 199012
10 200211
11 201310
12 20149
13 20138
14 20028
15
PICA 2001 Preview
20017
16 20097
17 20026
18 20045
19 20104
20 20074

About R. Salgado

R. Salgado is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Numerical Analysis and General Health Professions, having authored 35 papers that have together received 344 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (31 papers), Power System Optimization and Stability (26 papers), Electric Power System Optimization (11 papers), Power System Reliability and Maintenance (8 papers), Microgrid Control and Optimization (5 papers), Smart Grid Energy Management (4 papers), Numerical methods for differential equations (1 paper) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (71 citations), Electrical and Electronic Engineering (323 citations), Control and Systems Engineering (105 citations), Numerical Analysis (12 citations) and Statistics, Probability and Uncertainty (13 citations). R. Salgado has collaborated with scholars based in Brazil, United Kingdom and Canada. Frequent co-authors include M.R. Irving, Jay Daniel, Edgardo D. Castronuovo, K.C. Almeida, H.H. Zurn, Antonio Simões Costa, A. Brameller, P. W. Aitchison, Seleme Isaac Seleme and Mauro Augusto da Rosa. Their work appears in journals such as Electric Power Systems Research, International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution, IEEE Transactions on Power Systems and IEEE Power and Energy Magazine.

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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