Fernando Mas

1.2k total citations
45 papers, 554 citations indexed

About

Fernando Mas is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Fernando Mas has authored 45 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Industrial and Manufacturing Engineering, 8 papers in Management of Technology and Innovation and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Fernando Mas's work include Manufacturing Process and Optimization (41 papers), Flexible and Reconfigurable Manufacturing Systems (18 papers) and Assembly Line Balancing Optimization (12 papers). Fernando Mas is often cited by papers focused on Manufacturing Process and Optimization (41 papers), Flexible and Reconfigurable Manufacturing Systems (18 papers) and Assembly Line Balancing Optimization (12 papers). Fernando Mas collaborates with scholars based in Spain, France and India. Fernando Mas's co-authors include José Ríos, José Luis Menéndez, Rebeca Arista, Domingo Morales-Palma, Juan Carlos Hernández, Xiaochen Zheng, Jinzhi Lu, Antonio Vizán Idoipe, C. Vallellano and Jesús Racero and has published in prestigious journals such as International Journal of Production Research, The International Journal of Advanced Manufacturing Technology and Computers in Industry.

In The Last Decade

Fernando Mas

44 papers receiving 521 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 Mas Spain 14 416 116 85 83 46 45 554
Detlef Gerhard Austria 11 260 0.6× 60 0.5× 38 0.4× 49 0.6× 51 1.1× 46 432
J. Gausemeier Germany 11 220 0.5× 90 0.8× 41 0.5× 91 1.1× 87 1.9× 42 438
Greyce N. Schroeder Brazil 8 574 1.4× 46 0.4× 83 1.0× 34 0.4× 40 0.9× 17 696
Charles Steinmetz Brazil 8 571 1.4× 46 0.4× 83 1.0× 31 0.4× 42 0.9× 15 692
Zhaojun Qin New Zealand 6 407 1.0× 44 0.4× 23 0.3× 23 0.3× 60 1.3× 8 548
Johannes Cottyn Belgium 11 351 0.8× 44 0.4× 16 0.2× 48 0.6× 81 1.8× 49 567
Sebastian Haag Germany 8 402 1.0× 32 0.3× 48 0.6× 25 0.3× 52 1.1× 31 612
Juuso Autiosalo Finland 11 288 0.7× 21 0.2× 41 0.5× 22 0.3× 27 0.6× 20 412
Moncef Hammadi France 13 342 0.8× 142 1.2× 51 0.6× 20 0.2× 124 2.7× 61 558
Szilárd Jaskó Hungary 8 255 0.6× 34 0.3× 25 0.3× 18 0.2× 31 0.7× 19 381

Countries citing papers authored by Fernando Mas

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Mas

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Mas. A scholar is included among the top collaborators of Fernando Mas 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 Mas. Fernando Mas 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.
Szejka, Anderson Luis, et al.. (2025). Intelligent systems applied to anomaly detection and diagnosis in product design and manufacturing: aerospace industry case study. The International Journal of Advanced Manufacturing Technology. 137(11-12). 5789–5807. 1 indexed citations
2.
Szejka, Anderson Luis, et al.. (2025). Intelligent product manufacturing cost estimation framework driven by semantic technologies and knowledge-based systems. International Journal of Computer Integrated Manufacturing. 1–22. 1 indexed citations
3.
Szejka, Anderson Luis, Osíris Canciglieri, & Fernando Mas. (2024). Knowledge-based expert system to drive an informationally interoperable manufacturing system: An experimental application in the Aerospace Industry. Journal of Industrial Information Integration. 41. 100661–100661. 7 indexed citations
4.
5.
Szejka, Anderson Luis, et al.. (2024). Intelligent parameters reconfiguration system for enhancing machine tools sustainability using real-time data-driven: an experimental cutting speed investigation. International Journal of Computer Integrated Manufacturing. 38(4). 463–484. 2 indexed citations
6.
Szejka, Anderson Luis, et al.. (2023). Application of Models for Manufacturing (MfM) Methodology to Aerospace Sheet Metal Parts Manufacturing. Advances in science and technology. 132. 270–278. 2 indexed citations
7.
Arista, Rebeca, Fernando Mas, Domingo Morales-Palma, & C. Vallellano. (2023). An Ontology-based Engineering methodology applied to aerospace Reconfigurable Manufacturing Systems design. International Journal of Production Research. 62(6). 2286–2304. 12 indexed citations
8.
Canciglieri, Osíris, et al.. (2023). The Product’s Great Journey: A Multi-triangular Agile Approach. Journal of Industrial Integration and Management. 8(4). 471–488. 1 indexed citations
9.
Arista, Rebeca, et al.. (2022). The role of Industrial Resources in Reconfigurable Aerospace Production Systems: A Preliminary Literature Review. IFAC-PapersOnLine. 55(10). 2719–2724. 2 indexed citations
10.
Mas, Fernando, et al.. (2021). An updated review of PLM impact on US and EU Aerospace Industry. 1–5. 1 indexed citations
11.
Arista, Rebeca, et al.. (2019). Applied Ontologies for Assembly System Design and Management within the Aerospace Industry.. 4 indexed citations
12.
Arista, Rebeca & Fernando Mas. (2018). A Preliminary Model-Based Approach for Gender Analysis of Airbus Research Organization. 1–6. 2 indexed citations
13.
Racero, Jesús, et al.. (2017). Development based on reverse engineering to manufacture aircraft custom-made parts. International Journal of Mechatronics and Manufacturing Systems. 10(1). 40–40. 3 indexed citations
14.
Mas, Fernando, et al.. (2017). Virtual improvement of a historical aircraft assembly line. Procedia Manufacturing. 13. 1312–1319. 4 indexed citations
15.
Ríos, José, et al.. (2016). Method and software application to assist in the conceptual design of aircraft final assembly lines. Journal of Manufacturing Systems. 40. 37–53. 28 indexed citations
16.
Menéndez, José Luis, et al.. (2013). Implementation of the iDMU for an Aerostructure Industrialization in AIRBUS. Procedia Engineering. 63. 327–335. 12 indexed citations
17.
Mas, Fernando, et al.. (2013). Collaborative Engineering: An Airbus Case Study. Procedia Engineering. 63. 336–345. 19 indexed citations
18.
Mas, Fernando, et al.. (2012). Using augmented reality in AIRBUS A400M shop floor assembly work instructions. AIP conference proceedings. 633–640. 54 indexed citations
19.
Ríos, José, Fernando Mas, & José Luis Menéndez. (2012). Aircraft Final Assembly Line Balancing and Workload Smoothing: A Methodological Analysis. Key engineering materials. 502. 19–24. 17 indexed citations
20.
Menéndez, José Luis, et al.. (2012). Virtual verification of the AIRBUS A400M final assembly line industrialization. AIP conference proceedings. 641–648. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Detlef Gerhard Breakdown of academic impact, for papers by J. Gausemeier Breakdown of academic impact, for papers by Greyce N. Schroeder Breakdown of academic impact, for papers by Charles Steinmetz Breakdown of academic impact, for papers by Zhaojun Qin Breakdown of academic impact, for papers by Johannes Cottyn Breakdown of academic impact, for papers by Sebastian Haag Breakdown of academic impact, for papers by Juuso Autiosalo Breakdown of academic impact, for papers by Moncef Hammadi Breakdown of academic impact, for papers by Szilárd Jaskó
Rankless by CCL
2026