Y. del Valle

16 papers receiving 2.0k citations

Hit Papers

Particle Swarm Optimization: Basic Concepts, Variants and...2008202620142020200850010001.5k

Peers

Y. del Valle
Comparison fields: 5 of 109
  • Electrical and Electronic Engineering 1.3k
  • Control and Systems Engineering 834
  • Artificial Intelligence 471
  • Computational Theory and Mathematics 232
  • Computer Networks and Communications 175
Replace Germano Lambert‐Torres with:
Germano Lambert‐Torres Brazil
Zuriani Mustaffa Malaysia
Yuehua Huang China
C.S. Chang Singapore
Aranya Chakrabortty United States
M.R. Irving United Kingdom
Peng Li China
Guo Chen China
Salman Mohagheghi United States
Rizk M. Rizk‐Allah Egypt
Y. del Valle relative to Germano Lambert‐Torres Brazil Germano Lambert‐Torres's profile →
Citations per field
00.5×1.5×2.4×
Germano Lambert‐Torres · 1×
Citations per year

Countries citing papers authored by Y. del Valle

Since Specialization
Citations

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

Fields of papers citing papers by Y. del Valle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. del Valle. 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 Y. del Valle. The network helps show where Y. del Valle may publish in the future.

Co-authorship network of co-authors of Y. del Valle

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 28
3 37
4 24
5 1
6
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systemsbreakdown →
1744
7 16
8 75
9 28
10
Optimal Allocation of a STATCOM in a 45 Bus Section of the Brazilian Power System Using Particle Swarm Optimization
10
11 1
12 12
13 27
14 33
15 52
16 4

About Y. del Valle

Y. del Valle is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (10 papers), Power System Optimization and Stability (8 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (834 citations), Energy Engineering and Power Technology (76 citations) and Electrical and Electronic Engineering (1.3k citations). Y. del Valle has collaborated with scholars based in United States, South Africa and Chile. Frequent co-authors include Ganesh K. Venayagamoorthy, Ronald G. Harley, Salman Mohagheghi, Jesús C. Hernández, L. Morán, J. Dixon, Marcos E. Orchard, Insu Kim, J. Densley and Alexander Gray. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Dielectrics and Electrical Insulation.

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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