David A. Pelta

3.0k total citations
104 papers, 1.9k citations indexed

About

David A. Pelta is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, David A. Pelta has authored 104 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 20 papers in Industrial and Manufacturing Engineering. Recurrent topics in David A. Pelta's work include Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (22 papers) and Vehicle Routing Optimization Methods (18 papers). David A. Pelta is often cited by papers focused on Metaheuristic Optimization Algorithms Research (29 papers), Evolutionary Algorithms and Applications (22 papers) and Vehicle Routing Optimization Methods (18 papers). David A. Pelta collaborates with scholars based in Spain, Mexico and Cuba. David A. Pelta's co-authors include Natalio Krasnogor, José Luís Verdegay, Juan R. González, Carlos Cruz, María Teresa Lamata, Juan Carlos Torres, Pavel Novoa‐Hernández, Antonio D. Masegosa, Ronald R. Yager and Camelia Chira and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

David A. Pelta

101 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Pelta Spain 22 839 414 246 240 238 104 1.9k
Jianye Hao China 27 1.0k 1.2× 304 0.7× 218 0.9× 153 0.6× 362 1.5× 184 2.7k
Miguel A. Vega‐Rodríguez Spain 27 1.0k 1.2× 435 1.1× 467 1.9× 114 0.5× 409 1.7× 296 3.1k
Xiaohu Shi China 16 885 1.1× 327 0.8× 206 0.8× 77 0.3× 132 0.6× 64 1.7k
Rafael Bello Cuba 25 1.3k 1.6× 401 1.0× 163 0.7× 299 1.2× 98 0.4× 148 2.5k
Ahamad Tajudin Khader Malaysia 25 1.7k 2.1× 544 1.3× 484 2.0× 195 0.8× 160 0.7× 66 3.0k
Fernando G. Lobo Portugal 18 1.6k 1.9× 743 1.8× 135 0.5× 122 0.5× 132 0.6× 46 2.4k
Bernardete Ribeiro Portugal 28 1.2k 1.4× 246 0.6× 476 1.9× 145 0.6× 168 0.7× 210 3.0k
Erick Cantú‐Paz United States 25 2.4k 2.8× 1.0k 2.4× 233 0.9× 216 0.9× 230 1.0× 46 3.6k
A. Volgenant Netherlands 19 341 0.4× 276 0.7× 313 1.3× 206 0.9× 89 0.4× 52 1.9k

Countries citing papers authored by David A. Pelta

Since Specialization
Citations

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

Fields of papers citing papers by David A. Pelta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Pelta. 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 David A. Pelta. The network helps show where David A. Pelta may publish in the future.

Co-authorship network of co-authors of David A. Pelta

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Pelta. A scholar is included among the top collaborators of David A. Pelta 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 David A. Pelta. David A. Pelta 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
1.
Novoa‐Hernández, Pavel, et al.. (2024). Contextual analysis of solutions in a tourist trip design problem: A fuzzy logic-based approach. Applied Soft Computing. 154. 111351–111351. 3 indexed citations
2.
Novoa‐Hernández, Pavel, et al.. (2023). Robust Optimization over Time Problems—Characterization and Literature Review. Electronics. 12(22). 4609–4609. 2 indexed citations
3.
Novoa‐Hernández, Pavel, et al.. (2023). A methodology for the analysis of In-Core fuel management configurations in BWR’s. Nuclear Engineering and Design. 414. 112529–112529. 1 indexed citations
4.
Cruz, Carlos M., Sandra Míguez‐Lago, Luı́s Álvarez de Cienfuegos, et al.. (2023). Can Magnetic Dipole Transition Moment Be Engineered?. Angewandte Chemie. 136(4).
5.
Cruz, Carlos M., Sandra Míguez‐Lago, Luı́s Álvarez de Cienfuegos, et al.. (2023). Can Magnetic Dipole Transition Moment Be Engineered?. Angewandte Chemie International Edition. 63(4). e202316696–e202316696. 35 indexed citations
6.
Pelta, David A., et al.. (2022). Modeling Contexts as Fuzzy Propositions in Optimization Problems. IEEE Transactions on Fuzzy Systems. 31(5). 1474–1483. 3 indexed citations
7.
Pelta, David A., et al.. (2022). A Critical Analysis of a Tourist Trip Design Problem with Time-Dependent Recommendation Factors and Waiting Times. Electronics. 11(3). 357–357. 9 indexed citations
8.
Oudani, Mustapha, et al.. (2021). A Metaheuristic Based Approach for the Customer-Centric Perishable Food Distribution Problem. Electronics. 10(16). 2018–2018. 8 indexed citations
9.
Verdegay, José Luís, et al.. (2021). Inteligencia artificial y problemas de decisión: la necesidad de un contexto ético. SHILAP Revista de lepidopterología. 12(27). 104–104. 6 indexed citations
10.
Lamata, M. Teresa, David A. Pelta, & José Luís Verdegay. (2017). Optimisation problems as decision problems: The case of fuzzy optimisation problems. Information Sciences. 460-461. 377–388. 17 indexed citations
11.
Pelta, David A., et al.. (2016). Coverage path planning with unmanned aerial vehicles for 3D terrain reconstruction. Expert Systems with Applications. 55. 441–451. 189 indexed citations
12.
Pelta, David A., et al.. (2014). A neural network to predict reactor core behaviors. 《核技术》(英文版). 25(1). 10602–10602. 1 indexed citations
13.
Ruiz‐Samblás, Cristina, José Manuel Cadenas Figueredo, David A. Pelta, & Luis Cuadros-Rodrı́guez. (2014). Application of data mining methods for classification and prediction of olive oil blends with other vegetable oils. Analytical and Bioanalytical Chemistry. 406(11). 2591–2601. 20 indexed citations
14.
Pelta, David A. & Ronald R. Yager. (2009). Dynamic vs. static decision strategies in adversarial reasoning. European Society for Fuzzy Logic and Technology Conference. 472–477. 1 indexed citations
15.
Krasnogor, Natalio, Giuseppe Nicosia, Mario Pavone, & David A. Pelta. (2008). Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) (Studies in Computational Intelligence) (Studies in Computational Intelligence) XXXX. Springer eBooks. 10 indexed citations
16.
Pelta, David A., Juan R. González, & J. Marcos Moreno‐Vega. (2008). A simple and fast heuristic for protein structure comparison. BMC Bioinformatics. 9(1). 161–161. 34 indexed citations
17.
Pelta, David A., Juan R. González, & Natalio Krasnogor. (2005). Protein Structure Comparison through Fuzzy Contact Maps and the Universal Similarity Metric. European Society for Fuzzy Logic and Technology Conference. 1124–1129. 9 indexed citations
18.
Blanco, Armando, David A. Pelta, & José Luís Verdegay. (2001). Learning about FANS behaviour: Knapsack problems as a test case.. European Society for Fuzzy Logic and Technology Conference. 17–21. 1 indexed citations
19.
Krasnogor, Natalio, William E. Hart, James E. Smith, & David A. Pelta. (1999). Protein structure prediction with evolutionary algorithms. UWE Research Repository (UWE Bristol). 1596–1601. 74 indexed citations
20.
Krasnogor, Natalio, et al.. (1998). A runnable functional formal memetic algorithm framework. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 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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