M. Marcos

567 total citations
32 papers, 428 citations indexed

About

M. Marcos is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M. Marcos has authored 32 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 16 papers in Biomedical Engineering and 13 papers in Electrical and Electronic Engineering. Recurrent topics in M. Marcos's work include Advanced Surface Polishing Techniques (16 papers), Advanced machining processes and optimization (16 papers) and Advanced Machining and Optimization Techniques (12 papers). M. Marcos is often cited by papers focused on Advanced Surface Polishing Techniques (16 papers), Advanced machining processes and optimization (16 papers) and Advanced Machining and Optimization Techniques (12 papers). M. Marcos collaborates with scholars based in Spain and India. M. Marcos's co-authors include Jorge Salguero, Moisés Batista, Pedro F. Mayuet, Severo Raúl Fernández-Vidal, Miguel Ángel Sebastián Pérez, J.A. Sánchez, Soraya Plaza, Eva María Rubio, Joseba Albizuri and Naiara Ortega and has published in prestigious journals such as Journal of Materials Processing Technology, Wear and International Journal of Machine Tools and Manufacture.

In The Last Decade

M. Marcos

28 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Marcos Spain 10 365 222 213 70 54 32 428
Malek Habak France 10 341 0.9× 157 0.7× 190 0.9× 49 0.7× 35 0.6× 26 368
Nivaldo Lemos Coppini Brazil 8 393 1.1× 215 1.0× 242 1.1× 54 0.8× 65 1.2× 20 441
Jonas Holmberg Sweden 12 333 0.9× 155 0.7× 148 0.7× 57 0.8× 33 0.6× 29 397
G. Le Coz France 6 570 1.6× 285 1.3× 373 1.8× 48 0.7× 75 1.4× 8 598
Vikki Franke Germany 4 369 1.0× 267 1.2× 233 1.1× 33 0.5× 49 0.9× 4 408
Yu-Yu Yen United States 5 436 1.2× 211 1.0× 111 0.5× 112 1.6× 82 1.5× 6 482
M. Naresh Babu India 15 430 1.2× 224 1.0× 212 1.0× 54 0.8× 39 0.7× 35 536
A. Madariaga Spain 15 588 1.6× 268 1.2× 218 1.0× 96 1.4× 76 1.4× 34 613
Latif Özler Türkiye 10 344 0.9× 164 0.7× 180 0.8× 38 0.5× 55 1.0× 19 411
Md Awal Khan Bangladesh 6 431 1.2× 165 0.7× 325 1.5× 24 0.3× 60 1.1× 7 444

Countries citing papers authored by M. Marcos

Since Specialization
Citations

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

Fields of papers citing papers by M. Marcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Marcos

This figure shows the co-authorship network connecting the top 25 collaborators of M. Marcos. A scholar is included among the top collaborators of M. Marcos 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 M. Marcos. M. Marcos 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.
Salvadó, Miguel Á., M. Marcos, F.J. Botana, & B.M. Simonet. (2018). Proceso de fabricación de estructuras de materiales compuestos de fibra de carbono mediante moldeo por compresión asistido por membranas. 2(3). 119–125.
2.
Aguayo-González, Francisco, et al.. (2017). Arquitectura holónica de referencia para empresas de fabricación sostenibles distribuidas. DYNA. 84(200). 160–168. 5 indexed citations
3.
Vázquez, J., et al.. (2017). Analysis of secondary adhesion tool wear effects on surface roughness in dry turning process of UNS A92024 aluminium alloy. International Journal of Mechatronics and Manufacturing Systems. 10(1). 23–23. 2 indexed citations
4.
Gontard, Lionel C., Juan de Dios López‐Castro, Leandro González‐Rovira, et al.. (2017). Assessment of engineered surfaces roughness by high-resolution 3D SEM photogrammetry. Ultramicroscopy. 177. 106–114. 19 indexed citations
5.
Sol, Irene Del, A. Rivero, Jorge Salguero, Severo Raúl Fernández-Vidal, & M. Marcos. (2017). Tool-path effect on the geometric deviations in the machining of UNS A92024 aeronautic skins. Procedia Manufacturing. 13. 639–646. 6 indexed citations
6.
Vilchés, J, et al.. (2017). Indirect Monitoring Method of Tool Wear using the Analysis of Cutting Force during Dry Machining of Ti Alloys. Procedia Manufacturing. 13. 623–630. 6 indexed citations
7.
Aguayo-González, Francisco, et al.. (2016). La holónica como marco paradigmático para la ingeniería de la prevención. Aplicación al diseño macroergonómico.. idUS (Universidad de Sevilla).
8.
Aguayo-González, Francisco, et al.. (2015). Diseño experiencial ergocromático para proyectos industriales.
9.
Mayuet, Pedro F., F. Girot, Aitzol Lamíkiz, et al.. (2015). SOM/SEM based Characterization of Internal Delaminations of CFRP Samples Machined by AWJM. Procedia Engineering. 132. 693–700. 41 indexed citations
10.
García‐Domínguez, Antonio, et al.. (2014). Towards an Integrated SOA-Based Architecture for Interoperable and Responsive Manufacturing Systems Using the ISA-95 Object Model. Key engineering materials. 615. 145–156. 1 indexed citations
11.
Mayuet, Pedro F., et al.. (2013). Damaged Area based Study of the Break-IN and Break-OUT Defects in the Dry Drilling of Carbon Fiber Reinforced Plastics (CFRP). Procedia Engineering. 63. 743–751. 18 indexed citations
12.
Batista, Moisés, et al.. (2013). SOM based Methodology for Evaluating Shrinkage Parameter of the Chip Developed in Titanium Dry Turning Process. Procedia CIRP. 8. 534–539. 9 indexed citations
13.
14.
Salguero, Jorge, et al.. (2011). SEM and EDS Characterisation of Layering TiOxGrowth onto the Cutting Tool Surface in Hard Drilling Processes of Ti-Al-V Alloys. Advances in Materials Science and Engineering. 2011. 1–10. 13 indexed citations
15.
Salguero, Jorge, et al.. (2009). Influence of the Cutting Conditions in the Surface Finishing of Turned Pieces of Titanium Alloys. AIP conference proceedings. 531–538. 1 indexed citations
16.
González, Juan Manuel, et al.. (2009). Surface Finishing—Chip Arrangement Relationship in the Dry Turning of Aerospace Titanium Alloys. AIP conference proceedings. 575–583. 2 indexed citations
17.
Agustina, Beatriz de, et al.. (2009). Experimental Study Of Dry Turning Of UNS A92024-T3 Aluminium Alloy Bars Based On Surface Roughness. AIP conference proceedings. 151–158. 4 indexed citations
18.
Rubio, Eva María, Ana María Camacho, M. Marcos, & Miguel Ángel Sebastián Pérez. (2008). Analysis of the Energy Vanished by Friction in Tube Drawing Processes with a Fixed Conical Inner Plug by the Upper Bound Method. Materials and Manufacturing Processes. 23(7). 690–697. 8 indexed citations
19.
Sánchez, J.A., Soraya Plaza, Naiara Ortega, M. Marcos, & Joseba Albizuri. (2008). Experimental and numerical study of angular error in wire-EDM taper-cutting. International Journal of Machine Tools and Manufacture. 48(12-13). 1420–1428. 42 indexed citations
20.
Marcos, M., et al.. (2005). Study of roundness on cylindrical bars turned of aluminium–copper alloys UNS A92024. Journal of Materials Processing Technology. 162-163. 644–648. 27 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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