David S. González-González

446 total citations
39 papers, 311 citations indexed

About

David S. González-González is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, David S. González-González has authored 39 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 8 papers in Industrial and Manufacturing Engineering and 7 papers in Artificial Intelligence. Recurrent topics in David S. González-González's work include Advanced machining processes and optimization (8 papers), Welding Techniques and Residual Stresses (7 papers) and Neural Networks and Applications (6 papers). David S. González-González is often cited by papers focused on Advanced machining processes and optimization (8 papers), Welding Techniques and Residual Stresses (7 papers) and Neural Networks and Applications (6 papers). David S. González-González collaborates with scholars based in Mexico, Spain and Paraguay. David S. González-González's co-authors include Luis Torres‐Treviño, Vicente Milanés, Fawzi Nashashibi, Joshue Pérez, M. Molero, Juan José Calvente, Rafael Andreu, Germán López-Pérez, J. L. Acevedo‐Dávila and Icíar Alfaro and has published in prestigious journals such as Langmuir, Expert Systems with Applications and International Journal for Numerical Methods in Engineering.

In The Last Decade

David S. González-González

35 papers receiving 303 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 S. González-González Mexico 11 84 48 40 39 31 39 311
Adrià Salvador Palau United Kingdom 12 67 0.8× 51 1.1× 40 1.0× 8 0.2× 19 0.6× 21 343
Xintao Xia China 10 125 1.5× 85 1.8× 20 0.5× 8 0.2× 48 1.5× 73 375
Jiaxin Liu China 12 32 0.4× 64 1.3× 53 1.3× 84 2.2× 45 1.5× 55 468
Eric S. Lagergren United States 6 58 0.7× 18 0.4× 49 1.2× 18 0.5× 14 0.5× 9 346
Bhavana Bhadriraju United States 8 73 0.9× 239 5.0× 55 1.4× 27 0.7× 34 1.1× 15 383
Konrad Gromaszek Poland 8 71 0.8× 28 0.6× 34 0.8× 23 0.6× 5 0.2× 69 257
Shaojie Yang China 9 34 0.4× 61 1.3× 151 3.8× 15 0.4× 18 0.6× 19 346
Xiaorong He China 12 45 0.5× 248 5.2× 26 0.7× 11 0.3× 45 1.5× 32 400

Countries citing papers authored by David S. González-González

Since Specialization
Citations

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

Fields of papers citing papers by David S. González-González

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. González-González. 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 S. González-González. The network helps show where David S. González-González may publish in the future.

Co-authorship network of co-authors of David S. González-González

This figure shows the co-authorship network connecting the top 25 collaborators of David S. González-González. A scholar is included among the top collaborators of David S. González-González 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 S. González-González. David S. González-González 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.
González-González, David S., et al.. (2025). Backpropagation neural network model with statistical inference in manufacturing processes. Journal of Industrial Information Integration. 44. 100783–100783. 2 indexed citations
2.
González-González, David S., et al.. (2025). Enhancing maintenance strategies: Maximum entropy modeling for censored data in RCM. Computers & Industrial Engineering. 210. 111519–111519.
3.
Montesinos‐López, Abelardo, Francisco Pinto, David S. González-González, et al.. (2023). Multimodal deep learning methods enhance genomic prediction of wheat breeding. G3 Genes Genomes Genetics. 13(5). 17 indexed citations
4.
González-González, David S., et al.. (2023). Backpropagation Neural Network Model with Statistical Inference in Manufacturing Processes. SSRN Electronic Journal. 1 indexed citations
5.
Riba, Jordi‐Roger, et al.. (2023). Experimental Validation of the Adiabatic Assumption of Short-Circuit Tests on Bare Conductors. IEEE Transactions on Power Delivery. 38(5). 3594–3601. 4 indexed citations
7.
González-González, David S., et al.. (2021). Modeling and Prediction of Welded Joints Lifetimes by GMAW Process Using Maximum Entropy Regression Model. 183–189. 1 indexed citations
8.
González-González, David S., et al.. (2021). A study toward driverless mobility acceptance in low-density areas. Journal of Intelligent Transportation Systems. 26(5). 624–638. 6 indexed citations
9.
González-González, David S., et al.. (2021). Visibility-Aware Adaptative Speed Planner for Human-like Navigation in Roundabouts. 885–890. 1 indexed citations
10.
González-González, David S., et al.. (2021). Youla–Kucera based multi-objective car following controller. Control Engineering Practice. 115. 104908–104908. 2 indexed citations
11.
Milanés, Vicente, et al.. (2020). On the Passenger Acceptance of Driverless Shuttles. IEEE Intelligent Transportation Systems Magazine. 14(1). 18–28. 5 indexed citations
12.
Salinas‐Rodríguez, Armando, et al.. (2019). Optimization of the Continuous Galvanizing Heat Treatment Process in Ultra-High Strength Dual Phase Steels Using a Multivariate Model. Metals. 9(6). 703–703. 12 indexed citations
13.
14.
González-González, David S., et al.. (2018). A Multi-attribute Control Chart for Monitoring Friction Stir Welding Process Considering Small Sample Sizes. Soldagem & Inspeção. 23(4). 474–484.
15.
Badías, Alberto, David S. González-González, Icíar Alfaro, Francisco Chinesta, & Elías Cueto. (2017). Local proper generalized decomposition. International Journal for Numerical Methods in Engineering. 112(12). 1715–1732. 18 indexed citations
16.
Riba, Jordi‐Roger, et al.. (2016). Thermal behavior of energy-efficient substation connectors. QRU Quaderns de Recerca en Urbanisme. 129. 104–109. 5 indexed citations
17.
González-González, David S., et al.. (2015). A non-linear fuzzy degradation model for estimating reliability of a polymeric coating. Applied Mathematical Modelling. 40(2). 1387–1401. 7 indexed citations
18.
Barranco-Jiménez, M. A., et al.. (2012). Automation and parameters optimization in production line: a case of study. The International Journal of Advanced Manufacturing Technology. 66(9-12). 1315–1318. 8 indexed citations
20.
González-González, David S., et al.. (2006). Generating Multilingual Grammars from OWL Ontologies. Research in computing science. 18. 3–14. 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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