Luís Figueira

1.1k total citations
7 papers, 913 citations indexed

About

Luís Figueira is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Luís Figueira has authored 7 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 7 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Luís Figueira's work include Advanced machining processes and optimization (7 papers), Advanced Machining and Optimization Techniques (7 papers) and Advanced Surface Polishing Techniques (6 papers). Luís Figueira is often cited by papers focused on Advanced machining processes and optimization (7 papers), Advanced Machining and Optimization Techniques (7 papers) and Advanced Surface Polishing Techniques (6 papers). Luís Figueira collaborates with scholars based in Portugal, India and United States. Luís Figueira's co-authors include J. Paulo Davim, S.R. Karnik, V.N. Gaitonde, Tuğrul Özel, Yiğit Karpat and Ramón Quiza and has published in prestigious journals such as Journal of Materials Processing Technology, The International Journal of Advanced Manufacturing Technology and International Journal of Refractory Metals and Hard Materials.

In The Last Decade

Luís Figueira

7 papers receiving 855 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luís Figueira Portugal 7 894 625 508 134 109 7 913
Farshid Jafarian Iran 17 751 0.8× 472 0.8× 355 0.7× 74 0.6× 102 0.9× 28 804
Rosemar Batista da Silva Brazil 18 786 0.9× 498 0.8× 374 0.7× 65 0.5× 158 1.4× 54 833
Jens Sölter Germany 16 704 0.8× 221 0.4× 421 0.8× 143 1.1× 122 1.1× 58 760
B. Izquierdo Spain 16 923 1.0× 781 1.2× 675 1.3× 80 0.6× 62 0.6× 42 993
M. H. Sadeghi Iran 14 924 1.0× 485 0.8× 475 0.9× 44 0.3× 193 1.8× 33 971
Ersan Aslan Türkiye 9 578 0.6× 352 0.6× 328 0.6× 111 0.8× 73 0.7× 14 651
Chengzu Ren China 14 641 0.7× 291 0.5× 388 0.8× 69 0.5× 158 1.4× 33 732
Dinesh Setti India 13 715 0.8× 355 0.6× 441 0.9× 36 0.3× 117 1.1× 22 767
Rabin Kumar Das India 13 637 0.7× 416 0.7× 300 0.6× 50 0.4× 96 0.9× 27 663
V. Thomson Canada 8 515 0.6× 312 0.5× 243 0.5× 77 0.6× 66 0.6× 19 566

Countries citing papers authored by Luís Figueira

Since Specialization
Citations

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

Fields of papers citing papers by Luís Figueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luís Figueira

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

All Works

7 of 7 papers shown
1.
Gaitonde, V.N., S.R. Karnik, Luís Figueira, & J. Paulo Davim. (2010). Performance comparison of conventional and wiper ceramic inserts in hard turning through artificial neural network modeling. The International Journal of Advanced Manufacturing Technology. 52(1-4). 101–114. 72 indexed citations
2.
Gaitonde, V.N., S.R. Karnik, Luís Figueira, & J. Paulo Davim. (2009). Analysis of Machinability During Hard Turning of Cold Work Tool Steel (Type: AISI D2). Materials and Manufacturing Processes. 24(12). 1373–1382. 100 indexed citations
3.
Gaitonde, V.N., S.R. Karnik, Luís Figueira, & J. Paulo Davim. (2008). Machinability investigations in hard turning of AISI D2 cold work tool steel with conventional and wiper ceramic inserts. International Journal of Refractory Metals and Hard Materials. 27(4). 754–763. 171 indexed citations
4.
Quiza, Ramón, Luís Figueira, & J. Paulo Davim. (2007). Comparing statistical models and artificial neural networks on predicting the tool wear in hard machining D2 AISI steel. The International Journal of Advanced Manufacturing Technology. 37(7-8). 641–648. 120 indexed citations
5.
Davim, J. Paulo & Luís Figueira. (2007). Comparative evaluation of conventional and wiper ceramic tools on cutting forces, surface roughness, and tool wear in hard turning AISI D2 steel. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 221(4). 625. 76 indexed citations
6.
Özel, Tuğrul, Yiğit Karpat, Luís Figueira, & J. Paulo Davim. (2007). Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts. Journal of Materials Processing Technology. 189(1-3). 192–198. 199 indexed citations
7.
Davim, J. Paulo & Luís Figueira. (2006). Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques. Materials & Design (1980-2015). 28(4). 1186–1191. 175 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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2026