V William Porto

712 total citations
15 papers, 417 citations indexed

About

V William Porto is a scholar working on Artificial Intelligence, Oceanography and Molecular Biology. According to data from OpenAlex, V William Porto has authored 15 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Oceanography and 2 papers in Molecular Biology. Recurrent topics in V William Porto's work include Neural Networks and Applications (8 papers), Evolutionary Algorithms and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). V William Porto is often cited by papers focused on Neural Networks and Applications (8 papers), Evolutionary Algorithms and Applications (7 papers) and Metaheuristic Optimization Algorithms Research (6 papers). V William Porto collaborates with scholars based in United States. V William Porto's co-authors include David B. Fogel, Lawrence J. Fogel, N. Saravanan, Á. E. Eiben, Gary B. Fogel, Ernst R. Dow, Ee Wern Su, David Powers, J.E. Onyia and Su Chen and has published in prestigious journals such as Nucleic Acids Research, Biological Cybernetics and IEEE Expert.

In The Last Decade

V William Porto

14 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V William Porto United States 8 297 57 51 49 35 15 417
Christopher W. Cleghorn South Africa 13 363 1.2× 200 3.5× 65 1.3× 29 0.6× 33 0.9× 32 464
László Szathmáry Hungary 12 158 0.5× 121 2.1× 29 0.6× 13 0.3× 13 0.4× 35 394
Richard L. Frost United States 5 52 0.2× 25 0.4× 38 0.7× 20 0.4× 33 0.9× 8 257
Daw-Ran Liou Taiwan 1 123 0.4× 13 0.2× 31 0.6× 36 0.7× 85 2.4× 2 337
Brodie Lawson Australia 10 87 0.3× 38 0.7× 19 0.4× 72 1.5× 17 0.5× 23 349
Tamazouzt Ait Saadi Algeria 5 212 0.7× 26 0.5× 19 0.4× 93 1.9× 68 1.9× 6 379
Yi Fan China 7 253 0.9× 70 1.2× 21 0.4× 8 0.2× 101 2.9× 14 430
Daniel A. Henderson United Kingdom 13 153 0.5× 35 0.6× 15 0.3× 101 2.1× 6 0.2× 21 433
Anastasios N. Angelopoulos United States 7 97 0.3× 13 0.2× 24 0.5× 27 0.6× 28 0.8× 20 275

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
1.
Fogel, Gary B., V William Porto, Gábor Varga, et al.. (2008). Evolutionary computation for discovery of composite transcription factor binding sites. Nucleic Acids Research. 36(21). e142–e142. 22 indexed citations
2.
Porto, V William, et al.. (2005). Classifying sonar returns for the presence of mines: evolving neural networks and evolving rules. 123–130. 4 indexed citations
3.
Porto, V William. (2005). EVOLUTIONARY METHODS FOR TRAINING NEURAL NETWORKS FOR UNDERWATER PATTERN CLASSIFICATION. 2. 1015–1015. 5 indexed citations
4.
Porto, V William, Lawrence J. Fogel, & David B. Fogel. (2004). Using evolutionary computation for seismic signal detection: a homeland security application. 62–66. 8 indexed citations
5.
Fogel, David B., et al.. (2003). Using evolutionary computation to learn about detecting breast cancer. 1749–1754. 3 indexed citations
6.
Porto, V William. (2002). Array localization using least squares error minimization. 2. II/527–II/532. 1 indexed citations
7.
Porto, V William & David B. Fogel. (2002). Neural network techniques for navigation of AUVs. 2. 137–141. 8 indexed citations
8.
Fogel, David B., Lawrence J. Fogel, & V William Porto. (2002). Evolutionary methods for training neural networks. 317–327. 9 indexed citations
9.
10.
Porto, V William, David B. Fogel, & Lawrence J. Fogel. (1998). Generating novel tactics through evolutionary computation. ACM SIGART Bulletin. 9(2). 8–14. 2 indexed citations
11.
Porto, V William, et al.. (1998). Proceedings of the 7th International Conference on Evolutionary Programming VII. 36 indexed citations
12.
Porto, V William & David B. Fogel. (1995). Alternative neural network training methods [active sonar processing]. IEEE Expert. 10(3). 16–22. 87 indexed citations
13.
Fogel, David B., Lawrence J. Fogel, & V William Porto. (1990). Evolutionary programming for training neural networks. 601–605 vol. 1. 19 indexed citations
14.
Fogel, David B., Lawrence J. Fogel, & V William Porto. (1990). Evolving neural networks. Biological Cybernetics. 63(6). 487–493. 201 indexed citations
15.
Porto, V William. (1989). Pattern recognition of undersea objects using neural networks. 376–380. 5 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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