L.M.V.G. Pinto

37 papers receiving 1.7k citations

Hit Papers

Multi-stage stochastic optimization applied to energy pla...19912026200220141991250500750

Peers

L.M.V.G. Pinto
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 1.2k
  • Ocean Engineering 671
  • Safety, Risk, Reliability and Quality 349
  • Management Science and Operations Research 342
  • Water Science and Technology 313
Replace Holger Heitsch with:
Holger Heitsch Germany
Hugh Rudnick Chile
Erlon Cristian Finardi Brazil
Jitka Dupačová Czechia
I. Wangensteen Norway
Pedro M. S. Carvalho Portugal
Qipeng P. Zheng United States
Álvaro Lorca Chile
G.C. Oliveira Brazil
Anderson Rodrigo de Queiroz United States
L.M.V.G. Pinto relative to Holger Heitsch Germany Holger Heitsch's profile →
Citations per field
00.5×7.6×
Holger Heitsch · 1×
Citations per year

Countries citing papers authored by L.M.V.G. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by L.M.V.G. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.M.V.G. Pinto. 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 L.M.V.G. Pinto. The network helps show where L.M.V.G. Pinto may publish in the future.

Co-authorship network of co-authors of L.M.V.G. Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of L.M.V.G. Pinto. A scholar is included among the top collaborators of L.M.V.G. Pinto 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 L.M.V.G. Pinto. L.M.V.G. Pinto 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
#WorkIndexed citations
1 0
2 1
3 3
4 0
5 1
6 1
7 4
8 3
9
AN INNOVATIVE APPROACH FOR THE OPTIMUM PORTFOLIO RISK CONTROL INSTEAD OF RISK EVALUATION
3
10 3
11 3
12 60
13 47
14 80
15 44
16 1
17 8
18 131
19 72
20 44

About L.M.V.G. Pinto

L.M.V.G. Pinto is a scholar working on Safety, Risk, Reliability and Quality, General Energy and Management Science and Operations Research, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electric Power System Optimization (22 papers), Optimal Power Flow Distribution (13 papers) and Power System Reliability and Maintenance (12 papers). The work is most often cited by research in Ocean Engineering (671 citations), Safety, Risk, Reliability and Quality (349 citations) and Management Science and Operations Research (342 citations). L.M.V.G. Pinto has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include M.V.F. Pereira, Mário Pereira, Vladimiro Miranda, João Tomé Saraiva, Glauco N. Taranto, G.C. Oliveira, Maria Elvira Piñeiro Maceira, S. Cunha, A. Monticelli and Bruno H. Dias. Their work appears in journals such as Water Resources Research, IEEE Transactions on Power Systems and Sensors.

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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