R. Salgado

447 total citations
35 papers, 344 citations indexed

About

R. Salgado is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, R. Salgado has authored 35 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 8 papers in Control and Systems Engineering and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in R. Salgado's work include Optimal Power Flow Distribution (31 papers), Power System Optimization and Stability (26 papers) and Electric Power System Optimization (11 papers). R. Salgado is often cited by papers focused on Optimal Power Flow Distribution (31 papers), Power System Optimization and Stability (26 papers) and Electric Power System Optimization (11 papers). R. Salgado collaborates with scholars based in Brazil, United Kingdom and Canada. R. Salgado's 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 Diego Issicaba and has published in prestigious journals such as IEEE Transactions on Power Systems, Energy and International Journal of Electrical Power & Energy Systems.

In The Last Decade

R. Salgado

34 papers receiving 328 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R. Salgado Brazil	11	323	105	71	13	12	35	344
R.B. Prada Brazil	11	408 1.3×	184 1.8×	94 1.3×	10 0.8×	3 0.3×	42	433
Michele Trovato Italy	8	288 0.9×	132 1.3×	43 0.6×	3 0.2×	12 1.0×	30	318
V. Leonardo Paucar Brazil	9	262 0.8×	92 0.9×	44 0.6×	3 0.2×	3 0.3×	27	289
R.J. Koessler United States	11	458 1.4×	228 2.2×	54 0.8×	4 0.3×	6 0.5×	24	473
Joseph M. Bright United States	4	540 1.7×	190 1.8×	75 1.1×	9 0.7×	3 0.3×	5	554
M.J. Short United Kingdom	9	369 1.1×	115 1.1×	38 0.5×	3 0.2×	9 0.8×	21	408
Jean Maeght France	7	142 0.4×	47 0.4×	20 0.3×	10 0.8×	10 0.8×	18	157
P. Ristanovic Germany	5	444 1.4×	156 1.5×	84 1.2×	4 0.3×	6 0.5×	12	457
Valerijs Knazkins Sweden	10	296 0.9×	165 1.6×	32 0.5×	5 0.4×	3 0.3×	30	326
D. R. Vierath United States	6	597 1.8×	182 1.7×	47 0.7×	13 1.0×	7 0.6×	9	607

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-authorship network of co-authors of R. Salgado

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

All Works

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20 of 20 papers shown

1.

Rosa, Mauro Augusto da, et al.. (2019). Modified tensor method to power flow analysis. IET Generation Transmission & Distribution. 13(17). 3960–3967. 4 indexed citations

2.

Salgado, R., et al.. (2018). Determination of the bifurcation points of the power flow equations through optimisation-based methods. Electric Power Systems Research. 158. 147–157. 2 indexed citations

3.

Salgado, R., et al.. (2013). CORRECTIVE SOLUTIONS OF STEADY STATE POWER SYSTEM VIA NEWTON OPTIMIZATION METHOD.

4.

Salgado, R., et al.. (2013). Critical Solutions of Maximum Loadability Via Direct Methods. Journal of Control Automation and Electrical Systems. 24(3). 349–360. 8 indexed citations

5.

Salgado, R., et al.. (2012). Corrective Load Adjustments for Unsolvable Power Flows. 1–4. 1 indexed citations

6.

Salgado, R., et al.. (2011). Optimal power flow solutions through multi-objective programming. Energy. 42(1). 35–45. 29 indexed citations

7.

Salgado, R., et al.. (2010). Adjusted optimal power flow solutions via parameterized formulation. Electric Power Systems Research. 80(9). 1018–1023. 4 indexed citations

8.

Salgado, R., et al.. (2005). An efficient tap control applied to the maximum loadability of electric power systems. 9. 418–423. 1 indexed citations

9.

Salgado, R., et al.. (2005). Unsolvable Power Flow − Restoring Solutions of the Electric Power Network Equations. 8. 5294–5297. 2 indexed citations

10.

Salgado, R., et al.. (2004). Congestion due to reactive power: cost allocation. 3. 9–15. 3 indexed citations

11.

Salgado, R., et al.. (2004). Calculating participation factors in the maximum loadability. 2. 205–210. 5 indexed citations

12.

Salgado, R., et al.. (2003). Reviewing strategies for active power transmission loss allocation in power pools. International Journal of Electrical Power & Energy Systems. 26(2). 81–90. 27 indexed citations

13.

Salgado, R., et al.. (2002). Restoring solutions for unsolvable cases via minimum load shedding for a specified direction. 374–379. 11 indexed citations

14.

Zurn, H.H., et al.. (2001). PICA 2001 Preview. IEEE Power and Energy Magazine. 21(2). 17–18. 7 indexed citations

15.

Castronuovo, Edgardo D., et al.. (2001). On the Application of Highperformance Computation Techniquest to Nonlinear Interior Point Methods. IEEE Power Engineering Review. 21(6). 70–70. 23 indexed citations

16.

Zurn, H.H., et al.. (2001). PICA 2001 Preview. IEEE Power Engineering Review. 21(2). 17–18. 19 indexed citations

17.

Castronuovo, Edgardo D., et al.. (2001). On the application of high performance computation techniques to nonlinear interior point methods. IEEE Transactions on Power Systems. 16(3). 325–331. 24 indexed citations

18.

Castronuovo, Edgardo D., et al.. (2000). A LARGEST-STEP CENTRAL-PATH ALGORITHM APPLIED TO THE OPTIMAL POWER FLOW PROBLEM. 2 indexed citations

19.

Salgado, R.. (1992). Comparison between linear solvers for sparse systems in steady state pipe network analysis with the gradient method.. Dialnet (Universidad de la Rioja). 297–306. 1 indexed citations

20.

Costa, Antonio Simões, Seleme Isaac Seleme, & R. Salgado. (1985). Equality Constraints in Power System State Estimation via Orthogonal Row-Processing Techniques. IFAC Proceedings Volumes. 18(7). 43–49. 12 indexed citations

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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