R. Montoya

609 total citations
37 papers, 474 citations indexed

About

R. Montoya is a scholar working on Materials Chemistry, Civil and Structural Engineering and Metals and Alloys. According to data from OpenAlex, R. Montoya has authored 37 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 19 papers in Civil and Structural Engineering and 10 papers in Metals and Alloys. Recurrent topics in R. Montoya's work include Corrosion Behavior and Inhibition (26 papers), Concrete Corrosion and Durability (18 papers) and Hydrogen embrittlement and corrosion behaviors in metals (10 papers). R. Montoya is often cited by papers focused on Corrosion Behavior and Inhibition (26 papers), Concrete Corrosion and Durability (18 papers) and Hydrogen embrittlement and corrosion behaviors in metals (10 papers). R. Montoya collaborates with scholars based in Mexico, Spain and Belgium. R. Montoya's co-authors include J. Genescá, Johan Deconinck, M.L. Escudero, M. C. García‐Alonso, J.C. Galván, W. Aperador, David M. Bastidas, Nils Van den Steen, Kim Van Tittelboom and Jan Dewanckele and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Construction and Building Materials.

In The Last Decade

R. Montoya

35 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Montoya Mexico 13 291 214 134 123 75 37 474
Juan Bosch United States 12 260 0.9× 180 0.8× 128 1.0× 99 0.8× 41 0.5× 28 424
Nils Van den Steen Belgium 12 220 0.8× 179 0.8× 105 0.8× 103 0.8× 13 0.2× 22 472
Thee Chowwanonthapunya Thailand 10 367 1.3× 183 0.9× 158 1.2× 237 1.9× 19 0.3× 29 568
Iman Taji Iran 11 276 0.9× 309 1.4× 177 1.3× 225 1.8× 20 0.3× 22 615
Peter Plagemann Germany 11 223 0.8× 96 0.4× 105 0.8× 37 0.3× 25 0.3× 31 333
P. Linhardt Austria 13 347 1.2× 61 0.3× 235 1.8× 133 1.1× 14 0.2× 52 516
Z. F. Yin China 13 576 2.0× 292 1.4× 176 1.3× 496 4.0× 17 0.2× 27 688
Sandeep Sharma India 15 209 0.7× 173 0.8× 407 3.0× 29 0.2× 42 0.6× 30 626
Can Sun China 15 212 0.7× 474 2.2× 146 1.1× 19 0.2× 24 0.3× 38 774
K. Videm Norway 12 438 1.5× 241 1.1× 84 0.6× 274 2.2× 14 0.2× 42 518

Countries citing papers authored by R. Montoya

Since Specialization
Citations

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

Fields of papers citing papers by R. Montoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Montoya

This figure shows the co-authorship network connecting the top 25 collaborators of R. Montoya. A scholar is included among the top collaborators of R. Montoya 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 R. Montoya. R. Montoya 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.
Godínez, Francisco A., et al.. (2024). Inducing pitting in low carbon steel via chloride contamination: Electrochemical noise analysis in concrete gel pore solutions. Journal of Building Engineering. 98. 111056–111056. 1 indexed citations
2.
Godínez, Francisco A., et al.. (2024). Influence of convection during droplet evaporation on corrosion product distribution in CFRP-AA2024 galvanic couple: Modeling and experimental approaches. Corrosion Science. 240. 112462–112462. 3 indexed citations
3.
Godínez, Francisco A., et al.. (2024). Corrosion Modeling of Aluminum Alloys: A Brief Review. ChemElectroChem. 11(9). 5 indexed citations
4.
Genescá, J., et al.. (2024). The AA7075–CS1018 Galvanic Couple under Evaporating Droplets. SHILAP Revista de lepidopterología. 5(1). 92–108. 3 indexed citations
5.
Genescá, J., et al.. (2023). Advances in galvanic corrosion of aluminum alloys. Electrochimica Acta. 449. 142227–142227. 14 indexed citations
6.
Godínez, Francisco A., et al.. (2023). The anomalous alkalinization of the electrolyte during a slight anodic polarization of Mg: A different perspective. Electrochimica Acta. 443. 141969–141969. 2 indexed citations
7.
Genescá, J., et al.. (2023). Easy and low-cost transient detection of Al(III) evolution during the galvanic corrosion of aluminum alloys. Journal of Solid State Electrochemistry. 27(11). 3041–3048. 2 indexed citations
8.
Genescá, J., et al.. (2022). Application of Gel Electrolytes to Validate Transient Models of Galvanic Corrosion Phenomenon. ECS Transactions. 106(1). 229–234. 3 indexed citations
9.
Montoya, R., et al.. (2021). Acidification of the electrolyte during the galvanic corrosion of AA7075: A numerical and experimental study. Materials and Corrosion. 72(7). 1259–1269. 12 indexed citations
10.
Godínez, Francisco A., et al.. (2020). Bioinspired snapping-claw apparatus to study hydrodynamic cavitation effects on the corrosion of metallic samples. Review of Scientific Instruments. 91(6). 66101–66101. 9 indexed citations
11.
12.
Taha‐Tijerina, Jaime, et al.. (2019). Numerical simulation of the aluminum–zinc–steel galvanic system for new designs of automotive chassis. Materials and Corrosion. 71(3). 401–408. 9 indexed citations
13.
Escudero, M.L., et al.. (2018). Characterization of Tribocorrosion Behaviour of CoCr Alloy by Electrochemical Techniques in Several Corrosive Media. Corrosion Science and Technology. 17(2). 68–73. 1 indexed citations
14.
Díaz, I., et al.. (2017). Study of overall and local electrochemical responses of oxide films grown on CoCr alloy under biological environments. Bioelectrochemistry. 115. 1–10. 10 indexed citations
15.
Steen, Nils Van den, et al.. (2016). Dimension Reduction for Computational Enhancements in Thin Film Electrochemical Modelling. Journal of The Electrochemical Society. 163(14). C873–C882. 5 indexed citations
16.
Bodelón, Óscar G., et al.. (2015). Fracture bone healing and biodegradation of AZ31 implant in rats. Biomedical Materials. 10(2). 25008–25008. 24 indexed citations
17.
Montoya, R., et al.. (2014). Modeling in vivo corrosion of AZ31 as temporary biodegradable implants. Experimental validation in rats. Materials Science and Engineering C. 41. 127–133. 22 indexed citations
18.
Montoya, R., M.L. Escudero, & M. C. García‐Alonso. (2011). Effect of impurities and electrolyte thickness on degradation of pure magnesium: A finite element study. Materials Science and Engineering B. 176(20). 1807–1811. 14 indexed citations
19.
Montoya, R., Federico R. García-Galván, Antonia Jiménez‐Morales, & J.C. Galván. (2011). Effect of conductivity and frequency on detection of heterogeneities in solid/liquid interfaces using local electrochemical impedance. Electrochemistry Communications. 15(1). 5–9. 8 indexed citations
20.
Montoya, R., W. Aperador, & David M. Bastidas. (2009). Influence of conductivity on cathodic protection of reinforced alkali-activated slag mortar using the finite element method. Corrosion Science. 51(12). 2857–2862. 39 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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