L. Sevilla

642 total citations
78 papers, 482 citations indexed

About

L. Sevilla is a scholar working on Mechanical Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, L. Sevilla has authored 78 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Mechanical Engineering, 26 papers in Mechanics of Materials and 24 papers in Biomedical Engineering. Recurrent topics in L. Sevilla's work include Advanced machining processes and optimization (29 papers), Metallurgy and Material Forming (22 papers) and Advanced Surface Polishing Techniques (18 papers). L. Sevilla is often cited by papers focused on Advanced machining processes and optimization (29 papers), Metallurgy and Material Forming (22 papers) and Advanced Surface Polishing Techniques (18 papers). L. Sevilla collaborates with scholars based in Spain, Sweden and United States. L. Sevilla's co-authors include J Vilchés, Miguel Ángel Sebastián Pérez, Ana María Camacho, F. Martı́n, M. Marcos, Juan Claver, Eva María Rubio, G. Castillo, Carlos Soriano and Alfredo Sanz Lobera and has published in prestigious journals such as PLoS ONE, Scientific Reports and Composites Science and Technology.

In The Last Decade

L. Sevilla

75 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Sevilla Spain	12	338	188	104	93	89	78	482
Marta María Marín Spain	13	286 0.8×	128 0.7×	74 0.7×	68 0.7×	101 1.1×	61	429
Akhtar Razul Razali Malaysia	9	413 1.2×	144 0.8×	93 0.9×	186 2.0×	134 1.5×	43	602
Adrián Rodríguez Spain	13	591 1.7×	85 0.5×	153 1.5×	179 1.9×	240 2.7×	23	673
Nataša Náprstková Czechia	11	357 1.1×	86 0.5×	96 0.9×	97 1.0×	52 0.6×	80	444
James Kratz United Kingdom	16	444 1.3×	371 2.0×	42 0.4×	54 0.6×	61 0.7×	67	675
Sarojrani Pattnaik India	10	450 1.3×	79 0.4×	81 0.8×	82 0.9×	61 0.7×	49	672
Malte Stonis Germany	12	408 1.2×	286 1.5×	151 1.5×	35 0.4×	21 0.2×	92	534
Dirk Landgrebe Germany	13	460 1.4×	288 1.5×	151 1.5×	55 0.6×	31 0.3×	83	550
Yuanchen Li China	13	513 1.5×	147 0.8×	162 1.6×	248 2.7×	149 1.7×	37	721
Marek Kočiško Slovakia	11	250 0.7×	68 0.4×	67 0.6×	154 1.7×	33 0.4×	87	602

Countries citing papers authored by L. Sevilla

Since Specialization

Citations

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

Fields of papers citing papers by L. Sevilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Sevilla

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

All Works

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20 of 20 papers shown

Sevilla, L., et al.. (2025). Optimizing Cutting Parameters for Enhanced Control of Temperature, Cutting Forces, and Energy Consumption in Dry Turning of Ti6Al4V Alloy. Materials. 18(5). 942–942.

Vilchés, J, et al.. (2024). Ann-based predictive model of geometrical deviations in dry turning of AA7075 (Al-Zn) alloy. Measurement. 243. 116355–116355. 2 indexed citations

Vilchés, J, et al.. (2023). Fatigue Behavior Analysis in Reinforced PLA Parts Manufactured by FDM. Key engineering materials. 956. 91–98. 5 indexed citations

Sevilla, L., et al.. (2023). Laser Profilometry Application in Welding Geometrical Characterization. Key engineering materials. 960. 65–72. 1 indexed citations

Claver, Juan, et al.. (2023). Multicriteria Decision Methodology Applied to the Textile Factory “La Juanona” in Antequera. Advances in science and technology. 132. 494–501. 1 indexed citations

Claver, Juan, et al.. (2021). De Re Metallica: An Early Ergonomics Lesson Applied to Machine Design in the Renaissance. Sustainability. 13(17). 9984–9984. 1 indexed citations

Andersson, Tobias, et al.. (2021). Modeling of the fracture energy on the finite element simulation in Ti6Al4V alloy machining. Scientific Reports. 11(1). 18490–18490. 15 indexed citations

Romero, Pablo E., et al.. (2019). Study on the Main Influencing Factors in the Removal Process of Non-Stick Fluoropolymer Coatings Using Nd:YAG Laser. Polymers. 11(1). 123–123. 11 indexed citations

Vilchés, J, et al.. (2019). Cutting parameters influence on total run-out of dry machined UNS A97075 alloy parts. Procedia Manufacturing. 41. 835–842. 3 indexed citations

10.

Vilchés, J, et al.. (2019). Material flow analysis in indentation process by 3D Digital Image Correlation. Procedia Manufacturing. 41. 26–33. 5 indexed citations

11.

Romero, Pablo E., et al.. (2018). Software implementation of a new analytical methodology applied to the multi-stage wire drawing process: the case study of the copper wire manufacturing line optimization. The International Journal of Advanced Manufacturing Technology. 96(5-8). 2077–2089. 7 indexed citations

12.

Romero, Pablo E., et al.. (2018). Educational software tool based on the analytical methodology for design and technological analysis of multi‐step drawing processes. Computer Applications in Engineering Education. 27(1). 38–48. 3 indexed citations

13.

Sevilla, L., et al.. (2018). DETERMINATION OF THE STRAIN HARDENING LAW OF ELECTROLITIC COPPER PROCESSED BY WIREDARWING. DYNA. 94(1). 46–52. 1 indexed citations

14.

Martín, M.J., et al.. (2015). Experimental Validation of the New Modular Application of the Upper Bound Theorem in Indentation. PLoS ONE. 10(3). e0122790–e0122790. 4 indexed citations

15.

Martı́n, F., et al.. (2015). Application of the Upper Bound Theorem to Indentation Processes with Tilted Punch by Means of Modular Model. Procedia Engineering. 132. 274–281. 1 indexed citations

16.

Lobera, Alfredo Sanz, E. Gómez, J. M. Pérez, & L. Sevilla. (2015). A proposal of cost-tolerance models directly collected from the manufacturing process. International Journal of Production Research. 54(15). 4584–4598. 22 indexed citations

17.

Martı́n, F., M.J. Martín, L. Sevilla, & Miguel Ángel Sebastián Pérez. (2015). The Ring Compression Test: Analysis of Dimensions and Canonical Geometry. Procedia Engineering. 132. 326–333. 8 indexed citations

18.

Martı́n, F., L. Sevilla, Miguel Ángel Sebastián Pérez, & Ana María Camacho. (2014). An Upper Bound Approach of Ring Compression Test Solutions. Materials science forum. 797. 93–98. 1 indexed citations

19.

Sevilla, L., et al.. (2011). Integration of Virtual Manufacturing Laboratory of the University of Malaga. Materials science forum. 692. 65–73. 1 indexed citations

20.

Camacho, Ana María, Marta María Marín, L. Sevilla, & Rosario Domingo. (2006). Influence of strain hardening on forces and contact pressure distributions in forging processes. Journal of Achievements of Materials and Manufacturing Engineering. 15. 6 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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