A. Cavaleiro

10.3k total citations
419 papers, 8.8k citations indexed

About

A. Cavaleiro is a scholar working on Mechanics of Materials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, A. Cavaleiro has authored 419 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 338 papers in Mechanics of Materials, 310 papers in Materials Chemistry and 174 papers in Mechanical Engineering. Recurrent topics in A. Cavaleiro's work include Metal and Thin Film Mechanics (321 papers), Diamond and Carbon-based Materials Research (222 papers) and Advanced materials and composites (94 papers). A. Cavaleiro is often cited by papers focused on Metal and Thin Film Mechanics (321 papers), Diamond and Carbon-based Materials Research (222 papers) and Advanced materials and composites (94 papers). A. Cavaleiro collaborates with scholars based in Portugal, Czechia and United Kingdom. A. Cavaleiro's co-authors include Tomáš Polcar, S. Carvalho, Manuel Evaristo, Filipe Fernandes, J.C. Oliveira, F. Vaz, C. Louro, Fábio Ferreira, E. Alves and N.M.G. Parreira and has published in prestigious journals such as Journal of Applied Physics, Journal of Power Sources and Journal of The Electrochemical Society.

In The Last Decade

A. Cavaleiro

407 papers receiving 8.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Cavaleiro Portugal 47 6.4k 6.3k 3.5k 1.6k 841 419 8.8k
Efstathios I. Meletis United States 46 4.0k 0.6× 5.3k 0.8× 2.4k 0.7× 1.3k 0.8× 728 0.9× 218 7.3k
Magnus Odén Sweden 53 5.5k 0.9× 6.3k 1.0× 3.4k 1.0× 1.6k 1.0× 830 1.0× 243 8.8k
Marcel A.J. Somers Denmark 41 3.4k 0.5× 3.7k 0.6× 3.4k 1.0× 1.2k 0.7× 567 0.7× 283 6.8k
Hanshan Dong United Kingdom 44 5.0k 0.8× 5.0k 0.8× 3.6k 1.0× 1.2k 0.7× 957 1.1× 309 8.3k
David Rafaja Germany 40 2.0k 0.3× 3.9k 0.6× 2.8k 0.8× 1.2k 0.8× 592 0.7× 318 6.6k
J.E. Klemberg-Sapieha Canada 47 2.8k 0.4× 3.5k 0.6× 1.3k 0.4× 2.4k 1.5× 701 0.8× 245 6.4k
P. Panjan Slovenia 38 3.3k 0.5× 3.3k 0.5× 1.6k 0.5× 1.3k 0.8× 510 0.6× 238 5.0k
A. Leyland United Kingdom 48 8.5k 1.3× 10.9k 1.7× 5.9k 1.7× 2.0k 1.2× 1.5k 1.8× 153 14.6k
Q. Wei United States 48 2.9k 0.5× 6.4k 1.0× 5.3k 1.5× 541 0.3× 671 0.8× 161 8.3k
Vincent Ji France 42 1.6k 0.2× 4.3k 0.7× 3.9k 1.1× 1.2k 0.8× 458 0.5× 365 7.0k

Countries citing papers authored by A. Cavaleiro

Since Specialization
Citations

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

Fields of papers citing papers by A. Cavaleiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Cavaleiro

This figure shows the co-authorship network connecting the top 25 collaborators of A. Cavaleiro. A scholar is included among the top collaborators of A. Cavaleiro 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 A. Cavaleiro. A. Cavaleiro 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.
Cavaleiro, A., et al.. (2025). Real-time temperature monitoring during titanium alloy machining with cutting tools integrating novel thin-film sensors. Mechanical Systems and Signal Processing. 228. 112444–112444. 7 indexed citations
2.
Sharma, Pooja, et al.. (2025). Machine learning regression models for predicting mechanical properties of coatings deposited via HiPIMS in DOMS mode. Surface and Coatings Technology. 515. 132670–132670.
3.
Wang, Yiping, et al.. (2025). Design of DC semi-industrial magnetron-sputtered W-Ti-N/Ag composite films: Insights into the microstructure and mechanical properties. Surface and Coatings Technology. 502. 131942–131942. 1 indexed citations
4.
Welle, Alexander, Manuel Evaristo, Pooja Sharma, et al.. (2025). Polymer derived tribofilm on silicon-doped diamond-like carbon coatings. Applied Surface Science. 712. 164200–164200. 1 indexed citations
6.
Evaristo, Manuel, A. Cavaleiro, Arménio C. Serra, et al.. (2024). Synergistic effects of nitrogen-containing functionalized copolymer and silicon-doped DLC for friction and wear reduction. Tribology International. 200. 110183–110183. 5 indexed citations
7.
Cavaleiro, A., et al.. (2024). Sustainable lubrication through Gd DLC films and ionic liquids for wear and corrosion resistance. Tribology International. 200. 110130–110130. 5 indexed citations
8.
Evaristo, Manuel, et al.. (2024). WSCF coatings tested under various environmental conditions: A multivariate tribological analysis. Tribology International. 201. 110242–110242.
9.
Figueiredo, N.M., Pedro Mateus, Pooja Sharma, et al.. (2024). Reducing the incorporation of contaminant oxygen in decorative TiN coatings deposited by low temperature reactive sputtering. Vacuum. 226. 113325–113325. 3 indexed citations
10.
Kong, Fanlin, et al.. (2023). RF magnetron sputtered Nb–V–N composite coatings for high-temperature self-lubricant applications. Vacuum. 219. 112657–112657. 3 indexed citations
11.
Cavaleiro, A., et al.. (2023). Electrical properties and thermistor behavior of TiAlN thin films deposited by combinatorial sputtering. Surface and Coatings Technology. 464. 129545–129545. 10 indexed citations
12.
Evaristo, Manuel, Filipe Fernandes, & A. Cavaleiro. (2023). Influence of the alloying elements on the tribological performance of DLC coatings in different sliding conditions. Wear. 526-527. 204880–204880. 23 indexed citations
13.
Sharma, Pooja, Luís Vilhena, F.S. Silva, et al.. (2023). Synergic effect of TMD coating on textured steel using micro-EDM. Surface and Coatings Technology. 467. 129714–129714. 2 indexed citations
14.
15.
Soltanieh, Mansour, et al.. (2023). Effect of peak power on microstructure, mechanical and tribological properties of W-Ti-C-N(O) ceramic films produced by hybrid sputtering. Tribology International. 189. 108983–108983. 3 indexed citations
16.
Vuchkov, Todor, Manuel Evaristo, Alexandre F. Carvalho, & A. Cavaleiro. (2022). On the tribological performance of laser-treated self-lubricating thin films in contact with rubber. Tribology International. 174. 107758–107758. 3 indexed citations
17.
Ramalho, A., et al.. (2021). Tribological performance of laser‐textured steel surfaces in unidirectional sliding line‐contact (block‐on‐ring). Lubrication Science. 33(8). 417–431. 4 indexed citations
18.
Fernandes, Filipe, et al.. (2020). Room and High Temperature Tribological Performance of Multilayered TiSiN/TiN and TiSiN/TiN(Ag) Coatings Deposited by Sputtering. Coatings. 10(12). 1191–1191. 16 indexed citations
19.
Alves, C.F. Almeida, L. Marques, Paulo J. Ferreira, et al.. (2019). An experimental and theoretical study on the crystal structure and elastic properties of Ta1−xOx coatings. Surface and Coatings Technology. 364. 289–297. 2 indexed citations
20.
Borges, Joel, Tomáš Kubart, S. Suresh Kumar, et al.. (2015). Microstructural evolution of Au/TiO2 nanocomposite films: The influence of Au concentration and thermal annealing. Thin Solid Films. 580. 77–88. 29 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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