Fernando Veiga

3.2k total citations
90 papers, 2.4k citations indexed

About

Fernando Veiga is a scholar working on Mechanical Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Fernando Veiga has authored 90 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Mechanical Engineering, 30 papers in Automotive Engineering and 26 papers in Industrial and Manufacturing Engineering. Recurrent topics in Fernando Veiga's work include Additive Manufacturing Materials and Processes (39 papers), Advanced machining processes and optimization (32 papers) and Additive Manufacturing and 3D Printing Technologies (30 papers). Fernando Veiga is often cited by papers focused on Additive Manufacturing Materials and Processes (39 papers), Advanced machining processes and optimization (32 papers) and Additive Manufacturing and 3D Printing Technologies (30 papers). Fernando Veiga collaborates with scholars based in Spain, Sweden and France. Fernando Veiga's co-authors include Alfredo Suárez, Eider Aldalur, Luís Norberto López de Lacalle, A. Gil, Aitzol Lamíkiz, R. Polvorosa, Anders Wretland, Teresa Artaza, Miguel Arizmendi and Unai Alonso and has published in prestigious journals such as Academy of Management Journal, Scientific Reports and Journal of Materials Processing Technology.

In The Last Decade

Fernando Veiga

82 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Veiga Spain 30 2.1k 709 485 468 334 90 2.4k
Diego Carou Spain 21 1.4k 0.7× 337 0.5× 459 0.9× 651 1.4× 287 0.9× 52 1.7k
Christopher Saldaña United States 21 1.5k 0.7× 748 1.1× 619 1.3× 886 1.9× 297 0.9× 137 2.6k
Amaia Calleja Spain 25 1.5k 0.7× 284 0.4× 355 0.7× 374 0.8× 322 1.0× 67 1.7k
Luca Settineri Italy 32 1.9k 0.9× 446 0.6× 510 1.1× 596 1.3× 375 1.1× 105 2.5k
Guy Littlefair Australia 28 2.2k 1.0× 534 0.8× 772 1.6× 808 1.7× 190 0.6× 120 2.9k
Leila Ladani United States 27 1.6k 0.7× 881 1.2× 157 0.3× 594 1.3× 181 0.5× 97 2.2k
Neelesh Kumar Jain India 29 2.5k 1.2× 478 0.7× 983 2.0× 1.0k 2.2× 217 0.6× 156 2.9k
Eva María Rubio Spain 24 1.4k 0.7× 189 0.3× 422 0.9× 574 1.2× 248 0.7× 103 1.6k
Angelos P. Markopoulos Greece 25 1.5k 0.7× 189 0.3× 847 1.7× 781 1.7× 355 1.1× 166 2.2k
Moisés Batista Spain 19 728 0.3× 398 0.6× 483 1.0× 263 0.6× 336 1.0× 94 1.3k

Countries citing papers authored by Fernando Veiga

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Veiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Veiga

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Veiga. A scholar is included among the top collaborators of Fernando Veiga 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 Fernando Veiga. Fernando Veiga 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.
Marcelino, S., et al.. (2025). Machinability of Sintered Metallic Materials in Additive Manufacturing. Applied Sciences. 15(23). 12455–12455. 1 indexed citations
2.
Suárez, Alfredo, et al.. (2024). Advanced welding automation: Intelligent systems for multipass welding in Butt Double V-Groove and Tee Double Bevel configurations. MethodsX. 13. 103027–103027. 3 indexed citations
3.
Gil, A., et al.. (2024). Finite element method for minimizing geometric error in the bending of large sheets. The International Journal of Advanced Manufacturing Technology. 135(7-8). 3737–3746.
4.
Veiga, Fernando, et al.. (2024). The Use of Virtual Sensors for Bead Size Measurements in Wire-Arc Directed Energy Deposition. Applied Sciences. 14(5). 1972–1972. 2 indexed citations
5.
Lostado-Lorza, Rubén, et al.. (2023). Morphological Design of a Bicycle Propulsion Component Using the Hierarchical Analysis Process (AHP). Applied Sciences. 13(13). 7792–7792. 4 indexed citations
6.
Veiga, Fernando, et al.. (2023). Symmetry Analysis in Wire Arc Direct Energy Deposition for Overlapping and Oscillatory Strategies in Mild Steel. Symmetry. 15(6). 1231–1231. 6 indexed citations
7.
Veiga, Fernando, et al.. (2023). Automatic Trajectory Determination in Automated Robotic Welding Considering Weld Joint Symmetry. Symmetry. 15(9). 1776–1776. 3 indexed citations
8.
Aldalur, Eider, et al.. (2023). Tomography analysis of Al–Mg alloys manufactured by wire-arc directed energy deposition with different metal transfer modes. Alexandria Engineering Journal. 82. 168–177. 2 indexed citations
9.
Aldalur, Eider, et al.. (2023). Intelligent and Adaptive System for Welding Process Automation in T-Shaped Joints. Metals. 13(9). 1532–1532. 2 indexed citations
10.
11.
Veiga, Fernando, et al.. (2022). Modeling of cutting force and final thickness for low stiffness 2024-T3 aluminum alloy part milling considering its geometry and fixtures. Journal of Materials Research and Technology. 21. 2416–2427. 2 indexed citations
12.
Veiga, Fernando, et al.. (2021). Effect of the Metal Transfer Mode on the Symmetry of Bead Geometry in WAAM Aluminum. Symmetry. 13(7). 1245–1245. 30 indexed citations
13.
Aldalur, Eider, Alfredo Suárez, & Fernando Veiga. (2021). Metal transfer modes for Wire Arc Additive Manufacturing Al-Mg alloys: Influence of heat input in microstructure and porosity. Journal of Materials Processing Technology. 297. 117271–117271. 111 indexed citations
14.
Gil, A., Fernando Veiga, Mariluz Penalva, & Miguel Arizmendi. (2021). Oversizing Thread Diagnosis in Tapping Operation. Metals. 11(4). 537–537. 1 indexed citations
15.
Alonso, Unai, Fernando Veiga, Alfredo Suárez, & A. Gil. (2021). Characterization of Inconel 718® superalloy fabricated by wire Arc Additive Manufacturing: effect on mechanical properties and machinability. Journal of Materials Research and Technology. 14. 2665–2676. 54 indexed citations
16.
Veiga, Fernando, A. Gil, Alfredo Suárez, & Unai Alonso. (2020). Analysis of the Machining Process of Titanium Ti6Al-4V Parts Manufactured by Wire Arc Additive Manufacturing (WAAM). Materials. 13(3). 766–766. 73 indexed citations
17.
Aldalur, Eider, et al.. (2020). Analysis of the Wall Geometry with Different Strategies for High Deposition Wire Arc Additive Manufacturing of Mild Steel. Metals. 10(7). 892–892. 57 indexed citations
18.
Aldalur, Eider, Fernando Veiga, Alfredo Suárez, Javier Bilbao, & Aitzol Lamíkiz. (2020). High deposition wire arc additive manufacturing of mild steel: Strategies and heat input effect on microstructure and mechanical properties. Journal of Manufacturing Processes. 58. 615–626. 148 indexed citations
19.
Alonso, Unai, Fernando Veiga, Alfredo Suárez, & Teresa Artaza. (2019). Experimental Investigation of the Influence of Wire Arc Additive Manufacturing on the Machinability of Titanium Parts. Metals. 10(1). 24–24. 56 indexed citations
20.
Alonso, Unai, et al.. (2019). Analysis of the Machining Process of Inconel 718 Parts Manufactured by Laser Metal Deposition. Materials. 12(13). 2159–2159. 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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