E. E. Granda-Gutiérrez

630 total citations
52 papers, 418 citations indexed

About

E. E. Granda-Gutiérrez is a scholar working on Mechanics of Materials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, E. E. Granda-Gutiérrez has authored 52 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanics of Materials, 19 papers in Materials Chemistry and 15 papers in Mechanical Engineering. Recurrent topics in E. E. Granda-Gutiérrez's work include Metal and Thin Film Mechanics (22 papers), Diamond and Carbon-based Materials Research (15 papers) and Plasma Diagnostics and Applications (7 papers). E. E. Granda-Gutiérrez is often cited by papers focused on Metal and Thin Film Mechanics (22 papers), Diamond and Carbon-based Materials Research (15 papers) and Plasma Diagnostics and Applications (7 papers). E. E. Granda-Gutiérrez collaborates with scholars based in Mexico, Paraguay and Chile. E. E. Granda-Gutiérrez's co-authors include R. Alejo, J.C. Díaz-Guillén, Eréndira Rendón, J. L. Acevedo‐Dávila, G. Vargas‐Gutiérrez, H.M. Hdz-García, J.A. Díaz-Guillén, M. Álvarez-Vera, M.R. Díaz-Guillén and M. Naeem and has published in prestigious journals such as Surface and Coatings Technology, Materials and Digestive Diseases and Sciences.

In The Last Decade

E. E. Granda-Gutiérrez

49 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. E. Granda-Gutiérrez Mexico 12 169 156 140 82 63 52 418
Yunwei Huang China 15 70 0.4× 149 1.0× 303 2.2× 49 0.6× 69 1.1× 36 586
Frederic E. Bock Germany 9 106 0.6× 118 0.8× 198 1.4× 22 0.3× 17 0.3× 10 422
Feixiang Zhu China 10 231 1.4× 229 1.5× 121 0.9× 68 0.8× 20 0.3× 41 467
Xinxin Sun China 9 177 1.0× 267 1.7× 185 1.3× 64 0.8× 25 0.4× 36 447
Zhuoyuan Li China 12 65 0.4× 91 0.6× 154 1.1× 202 2.5× 29 0.5× 56 497
Paramita Chattopadhyay India 14 106 0.6× 260 1.7× 328 2.3× 133 1.6× 23 0.4× 45 586
Dominik Britz Germany 14 108 0.6× 352 2.3× 465 3.3× 35 0.4× 24 0.4× 37 744
W. H. Zhang China 13 326 1.9× 83 0.5× 135 1.0× 40 0.5× 50 0.8× 32 634
Sanjay Tiwari India 14 82 0.5× 201 1.3× 470 3.4× 34 0.4× 20 0.3× 62 784

Countries citing papers authored by E. E. Granda-Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by E. E. Granda-Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. E. Granda-Gutiérrez. 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 E. E. Granda-Gutiérrez. The network helps show where E. E. Granda-Gutiérrez may publish in the future.

Co-authorship network of co-authors of E. E. Granda-Gutiérrez

This figure shows the co-authorship network connecting the top 25 collaborators of E. E. Granda-Gutiérrez. A scholar is included among the top collaborators of E. E. Granda-Gutiérrez 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 E. E. Granda-Gutiérrez. E. E. Granda-Gutiérrez 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.
Granda-Gutiérrez, E. E., et al.. (2025). Spectral Derivatives Improve FTIR-Based Machine Learning Classification of Plastic Polymers. Modelling—International Open Access Journal of Modelling in Engineering Science. 6(4). 115–115. 1 indexed citations
2.
Beltrán, Sagrario, et al.. (2025). ANN-Based Prediction of Tartrazine Adsorption on Chitosan–Polyvinyl Alcohol Hydrogel Beads: A Comparison with Kinetic Models. Modelling—International Open Access Journal of Modelling in Engineering Science. 6(4). 149–149.
3.
Alejo, R., et al.. (2025). FTIR-Based Microplastic Classification: A Comprehensive Study on Normalization and ML Techniques. Recycling. 10(2). 46–46. 5 indexed citations
4.
Granda-Gutiérrez, E. E., et al.. (2024). Diseño y desarrollo de estación compacta de micro-maquinado electroquímico pulsado bipolar. PÄDI Boletín Científico de Ciencias Básicas e Ingenierías del ICBI. 12. 34–41.
5.
6.
Granda-Gutiérrez, E. E., et al.. (2024). Enhancing the Mechanical Properties of a 6061 Aluminum Alloy by Heat Treatment from the Perspective of Taguchi Design-of-Experiments. Applied Sciences. 14(13). 5407–5407. 10 indexed citations
7.
Naeem, M., et al.. (2023). Improved mechanical and wear properties of H13 tool steel by nitrogen-expanded martensite using current-controlled plasma nitriding. Journal of Materials Research and Technology. 25. 4139–4153. 19 indexed citations
8.
Rendón, Eréndira, et al.. (2023). Density-Based Clustering to Deal with Highly Imbalanced Data in Multi-Class Problems. Mathematics. 11(18). 4008–4008. 4 indexed citations
9.
Alejo, R., et al.. (2023). A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico. Data in Brief. 51. 109733–109733. 1 indexed citations
10.
Granda-Gutiérrez, E. E., et al.. (2022). Corrosion Performance and Mechanical Strength in Aluminum 6061 Joints by Pulsed Gas Metal Arc Welding. Materials. 15(18). 6226–6226. 3 indexed citations
11.
Alejo, R., et al.. (2022). Pedestrian Localization in a Video Sequence Using Motion Detection and Active Shape Models. Applied Sciences. 12(11). 5371–5371. 3 indexed citations
12.
Alejo, R., et al.. (2020). Comparative study of methods to obtain the number of hidden neurons of an auto-encoder in a high-dimensionality context. IEEE Latin America Transactions. 18(12). 2196–2203. 3 indexed citations
13.
Díaz-Guillén, J.C., et al.. (2014). Effects of pulse length on low frequency plasma nitrided 316L steels. Surface Engineering. 31(8). 623–627. 5 indexed citations
14.
Díaz-Guillén, J.C., et al.. (2013). Electrochemical Corrosion Performance of AISI D2 Tool Steel Surface Hardened by Pulsed Plasma Nitriding. International Journal of Electrochemical Science. 8(1). 973–982. 15 indexed citations
15.
Díaz-Guillén, J.C., et al.. (2013). Surface Properties of Fe4N Compounds Layer on AISI 4340 Steel Modified by Pulsed Plasma Nitriding. Journal of Material Science and Technology. 29(3). 287–290. 39 indexed citations
16.
Díaz-Guillén, J.C., et al.. (2013). Increase in Hardness and Chloride Corrosion Resistance of 6061 Aluminum Alloy by Pulsed Plasma Nitriding. 1 indexed citations
17.
Díaz-Guillén, J.C., et al.. (2012). Modificación superficial de un acero AISI 1045 mediante un proceso dúplex nitruración y post-oxidación en un plasma CD pulsado. Superficies y Vacío. 25(3). 166–170. 2 indexed citations
18.
Granda-Gutiérrez, E. E., et al.. (2012). Gas Mixture and Current Density Variation and Their Effect on White-Layer Properties of Nitrided Steel. Journal of Materials Engineering and Performance. 21(10). 2080–2084. 1 indexed citations
19.
Granda-Gutiérrez, E. E., R. López‐Callejas, A.E. Muñoz-Castro, et al.. (2007). Superficial characterization of a TiO2 - TiN0.26 layer implanted in Titanium. Superficies y Vacío. 20(3). 11–16. 1 indexed citations
20.
Granda-Gutiérrez, E. E., R. López‐Callejas, R. Peña‐Eguiluz, et al.. (2006). Modelling and simulation of a current-converter generated DC glow discharge. Digestive Diseases and Sciences. 53(5). 255–260. 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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