V William Porto

712 citations
15 papers · 417 indexed · h-index 8
Topics
Neural Networks and Applications (8 papers)Evolutionary Algorithms and Applications (7 papers)Metaheuristic Optimization Algorithms Research (6 papers)
Partner nations
United States

In The Last Decade

V William Porto

14 papers receiving 350 citations

Peers

V William Porto
Comparison fields: 5 of 77
  • Artificial Intelligence 297
  • Computational Theory and Mathematics 57
  • Control and Systems Engineering 51
  • Molecular Biology 49
  • Computer Vision and Pattern Recognition 35
Replace Christopher W. Cleghorn with:
Christopher W. Cleghorn South Africa
Yi Fan China
Richard L. Frost United States
Dave Barnes United Kingdom
Jian Peng China
Tamazouzt Ait Saadi Algeria
Brodie Lawson Australia
Daw-Ran Liou Taiwan
Anastasios N. Angelopoulos United States
V William Porto relative to Christopher W. Cleghorn South Africa Christopher W. Cleghorn's profile →
Citations per field
00.5×1.7×
Christopher W. Cleghorn · 1×
Citations per year

Countries citing papers authored by V William Porto

Since Specialization
Citations

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

Fields of papers citing papers by V William Porto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V William Porto. 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 V William Porto. The network helps show where V William Porto may publish in the future.

Co-authorship network of co-authors of V William Porto

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 22
2 4
3 5
4 8
5 3
6 1
7 8
8 9
9 7
10
Proceedings of the 7th International Conference on Evolutionary Programming VII
36
11 2
12 87
13 19
14 201
15 5

About V William Porto

V William Porto is a scholar working on Artificial Intelligence, Oceanography and Signal Processing, having authored 15 papers that have together received 417 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Evolutionary Algorithms and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). The work is most often cited by research in Artificial Intelligence (297 citations), Computational Theory and Mathematics (57 citations) and Control and Systems Engineering (51 citations). V William Porto has collaborated with scholars based in United States. Frequent co-authors include David B. Fogel, Lawrence J. Fogel, Á. E. Eiben, N. Saravanan, Gary B. Fogel, Su Chen, J.E. Onyia, Gábor Varga, David Powers and Ernst R. Dow. Their work appears in journals such as Nucleic Acids Research, Biological Cybernetics and IEEE Expert.

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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