Miguel Cuartas

433 total citations
16 papers, 316 citations indexed

About

Miguel Cuartas is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Miguel Cuartas has authored 16 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Miguel Cuartas's work include Advanced machining processes and optimization (5 papers), Landfill Environmental Impact Studies (4 papers) and Recycled Aggregate Concrete Performance (4 papers). Miguel Cuartas is often cited by papers focused on Advanced machining processes and optimization (5 papers), Landfill Environmental Impact Studies (4 papers) and Recycled Aggregate Concrete Performance (4 papers). Miguel Cuartas collaborates with scholars based in Spain, United Kingdom and Portugal. Miguel Cuartas's co-authors include Amaya Lobo, Diego Ferreño, Estela Ruiz, F. Gutiérrez‐Solana, Isidro Carrascal, José A. Sáinz-Aja, J.A. Casado, J. Setién, Soraya Diego and J. Pombo and has published in prestigious journals such as Journal of Cleaner Production, Chemosphere and IEEE Access.

In The Last Decade

Miguel Cuartas

15 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miguel Cuartas Spain	10	148	94	68	67	36	16	316
Gordana Stefanović Serbia	10	160 1.1×	110 1.2×	119 1.8×	39 0.6×	49 1.4×	20	435
Yousef Saif Canada	13	131 0.9×	23 0.2×	37 0.5×	38 0.6×	17 0.5×	17	355
Beáta Stehlíková Slovakia	11	36 0.2×	181 1.9×	17 0.3×	11 0.2×	24 0.7×	37	312
Mohammad Javad Taheri Amiri Iran	10	71 0.5×	35 0.4×	212 3.1×	18 0.3×	365 10.1×	17	550
Patrick Hettiaratchi Canada	11	219 1.5×	30 0.3×	75 1.1×	20 0.3×	149 4.1×	19	438
Sabine Flamme Germany	9	185 1.3×	91 1.0×	57 0.8×	22 0.3×	3 0.1×	21	299
Abderrahim Lakhouit Saudi Arabia	11	97 0.7×	21 0.2×	44 0.6×	31 0.5×	24 0.7×	40	326
Xuefeng Wen China	8	317 2.1×	227 2.4×	21 0.3×	16 0.2×	10 0.3×	14	458
K. Owebor Nigeria	10	31 0.2×	178 1.9×	32 0.5×	8 0.1×	15 0.4×	22	461
Dag Henning Sweden	11	49 0.3×	116 1.2×	262 3.9×	7 0.1×	13 0.4×	18	698

Countries citing papers authored by Miguel Cuartas

Since Specialization

Citations

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

Fields of papers citing papers by Miguel Cuartas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel Cuartas. 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 Miguel Cuartas. The network helps show where Miguel Cuartas may publish in the future.

Co-authorship network of co-authors of Miguel Cuartas

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

All Works

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16 of 16 papers shown

Ruiz, Estela, Diego Ferreño, Miguel Cuartas, et al.. (2022). Application of machine learning algorithms for the optimization of the fabrication process of steel springs to improve their fatigue performance. International Journal of Fatigue. 159. 106785–106785. 11 indexed citations

Ferreño, Diego, José A. Sáinz-Aja, Isidro Carrascal, et al.. (2021). Machine learning algorithms for the prediction of the mechanical properties of railways’ rail pads. Journal of Physics Conference Series. 1765(1). 12008–12008. 1 indexed citations

Ruiz, Estela, Diego Ferreño, Miguel Cuartas, et al.. (2021). Machine Learning Methods for the Prediction of the Inclusion Content of Clean Steel Fabricated by Electric Arc Furnace and Rolling. Metals. 11(6). 914–914. 15 indexed citations

Lobo, Amaya, et al.. (2020). Technical indicators to improve municipal solid waste management in developing countries: A case in Mexico. Waste Management. 107. 201–210. 47 indexed citations

Cuartas, Miguel, et al.. (2020). Release of pollutants in MBT landfills: Laboratory versus field. Chemosphere. 249. 126145–126145. 15 indexed citations

Ferreño, Diego, José A. Sáinz-Aja, Isidro Carrascal, et al.. (2020). Prediction of mechanical properties of rail pads under in-service conditions through machine learning algorithms. Advances in Engineering Software. 151. 102927–102927. 37 indexed citations

Ruiz, Estela, et al.. (2020). Machine learning algorithms for the prediction of the strength of steel rods: an example of data-driven manufacturing in steelmaking. International Journal of Computer Integrated Manufacturing. 33(9). 880–894. 18 indexed citations

Cuartas, Miguel, et al.. (2020). Machine learning algorithms for the prediction of non-metallic inclusions in steel wires for tire reinforcement. Journal of Intelligent Manufacturing. 32(6). 1739–1751. 30 indexed citations

Ferreño, Diego, et al.. (2019). Investigation through Artificial Neural Networks on the Influence of Shot Peening on the Hardness of ASTM TX304HB Stainless Steel. Journal of Testing and Evaluation. 49(1). 493–508. 2 indexed citations

10.

Ruiz, Estela, et al.. (2019). Optimization of the Fabrication of Cold Drawn Steel Wire Through Classification and Clustering Machine Learning Algorithms. IEEE Access. 7. 141689–141700. 6 indexed citations

11.

Cuartas, Miguel, et al.. (2019). A decision support tool for planning biowaste management systems. Journal of Cleaner Production. 242. 118460–118460. 18 indexed citations

12.

Cuartas, Miguel, et al.. (2019). Prediction of non-metallic inclusions in steel wires for tire reinforcement by means of machine learning algorithms. AIP conference proceedings. 2186. 170003–170003. 2 indexed citations

13.

Cuartas, Miguel, et al.. (2018). Using indicators as a tool to evaluate municipal solid waste management: A critical review. Waste Management. 80. 51–63. 90 indexed citations

14.

Cuartas, Miguel, et al.. (2017). Analysis of landfill design variables based on scientific computing. Waste Management. 71. 287–300. 17 indexed citations

15.

García, Ana Lorena Esteban, et al.. (2017). Emissions from mechanically biologically treated waste landfills at field scale. International Journal of Environmental Science and Technology. 15(6). 1285–1300. 7 indexed citations

16.

Cuartas, Miguel, et al.. (2012). Modelación de una celda vertedero experimental con Moduelo 4.0. Revista Internacional de Contaminación Ambiental. 28(1). 89–96.

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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