Luí­s Neves

3.0k total citations · 1 hit paper
114 papers, 2.2k citations indexed

About

Luí­s Neves is a scholar working on Civil and Structural Engineering, Building and Construction and Statistics, Probability and Uncertainty. According to data from OpenAlex, Luí­s Neves has authored 114 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Civil and Structural Engineering, 33 papers in Building and Construction and 24 papers in Statistics, Probability and Uncertainty. Recurrent topics in Luí­s Neves's work include Concrete Corrosion and Durability (48 papers), Infrastructure Maintenance and Monitoring (39 papers) and Probabilistic and Robust Engineering Design (17 papers). Luí­s Neves is often cited by papers focused on Concrete Corrosion and Durability (48 papers), Infrastructure Maintenance and Monitoring (39 papers) and Probabilistic and Robust Engineering Design (17 papers). Luí­s Neves collaborates with scholars based in United Kingdom, Portugal and United States. Luí­s Neves's co-authors include Dan M. Frangopol, João B. Cardoso, C. Guedes Soares, A.P. Teixeira, André R. Barbosa, Paulo J. S. Cruz, José Sena-Cruz, Tony Parry, Aruz Petcherdchoo and Joan R. Casas and has published in prestigious journals such as European Journal of Operational Research, Construction and Building Materials and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Luí­s Neves

107 papers receiving 2.1k citations

Hit Papers

Review and application of Artificial Neural Networks mode... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luí­s Neves United Kingdom 27 1.7k 586 480 204 193 114 2.2k
Jochen Köhler Norway 20 695 0.4× 750 1.3× 266 0.6× 104 0.5× 271 1.4× 97 1.4k
Alaa Chateauneuf France 27 1.5k 0.9× 497 0.8× 791 1.6× 399 2.0× 388 2.0× 108 2.7k
Vagelis Plevris Qatar 26 1.2k 0.7× 359 0.6× 214 0.4× 79 0.4× 150 0.8× 102 1.9k
Michel Ghosn United States 27 2.1k 1.2× 703 1.2× 436 0.9× 88 0.4× 252 1.3× 87 2.3k
Ola Dahlblom Sweden 14 854 0.5× 684 1.2× 259 0.5× 70 0.3× 289 1.5× 41 1.4k
Božidar Stojadinović Switzerland 36 3.8k 2.3× 1.1k 2.0× 411 0.9× 146 0.7× 484 2.5× 200 4.5k
Ian Flood United States 20 861 0.5× 524 0.9× 141 0.3× 144 0.7× 208 1.1× 110 2.0k
Ross B. Corotis United States 24 1.8k 1.1× 251 0.4× 766 1.6× 288 1.4× 171 0.9× 155 2.6k
Terje Haukaas Canada 21 1.4k 0.9× 436 0.7× 593 1.2× 110 0.5× 120 0.6× 49 1.7k
Bernd Möller Denmark 32 593 0.4× 852 1.5× 622 1.3× 57 0.3× 253 1.3× 78 3.4k

Countries citing papers authored by Luí­s Neves

Since Specialization
Citations

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

Fields of papers citing papers by Luí­s Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luí­s Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Luí­s Neves. A scholar is included among the top collaborators of Luí­s Neves 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 Neves. Luí­s Neves 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.
Psimoulis, Panos, et al.. (2025). Experimental assessment of the performance of terrestrial laser scanners in monitoring the geometric deformations in retaining walls. Journal of Civil Structural Health Monitoring. 15(6). 1885–1900. 2 indexed citations
3.
Franza, Andrea, et al.. (2024). Tunnelling-induced wall damage: An appraisal of elastoplastic constitutive models for masonry. Tunnelling and Underground Space Technology. 156. 106240–106240. 3 indexed citations
4.
Thermou, Georgia E., et al.. (2024). Behaviour of Textile Reinforced Concrete panels under high-velocity impact loading. Construction and Building Materials. 445. 137806–137806. 1 indexed citations
5.
Barbosa, André R., Arijit Sinha, Christopher Higgins, et al.. (2023). Analytical and Numerical Models for Wind and Seismic Design and Assessment of Mass Timber Diaphragms. Journal of Structural Engineering. 150(2). 3 indexed citations
6.
Alam, Jahangir, Hao Zhang, Luí­s Neves, & Daniel Dias‐da‐Costa. (2023). Sequential Bayesian updating for time-variant reliability analysis of ageing structures. Mechanical Systems and Signal Processing. 204. 110774–110774. 12 indexed citations
7.
Psimoulis, Panos, et al.. (2022). Assessment of accuracy and performance of terrestrial laser scanner in monitoring of retaining walls. RiuNet (Politechnical University of Valencia). 3 indexed citations
8.
Neves, Luí­s, et al.. (2019). Stochastic maintenance models for ceramic claddings. Structure and Infrastructure Engineering. 16(2). 247–265. 18 indexed citations
9.
Thom, Nick, et al.. (2019). Probabilistic prediction of asphalt pavement performance. Road Materials and Pavement Design. 20(sup1). S247–S264. 38 indexed citations
10.
Neves, Luí­s, et al.. (2018). Stochastic Petri-net models to predict the degradation of ceramic claddings. Building Research & Information. 47(6). 697–715. 11 indexed citations
11.
Baghi, Hadi, et al.. (2018). Behavior of reinforced concrete frame with masonry infill wall subjected to vertical load. Engineering Structures. 171. 476–487. 49 indexed citations
12.
Neves, Luí­s, et al.. (2017). Stochastic Petri net-based modelling of the durability of renderings. Automation in Construction. 87. 96–105. 16 indexed citations
13.
Neves, Luí­s, et al.. (2017). Implementation and Calibration of Finite-Length Plastic Hinge Elements for Use in Seismic Structural Collapse Analysis. Journal of Earthquake Engineering. 21(8). 1197–1219. 18 indexed citations
14.
Parry, Tony, et al.. (2016). Rolling resistance contribution to a road pavement life cycle carbon footprint analysis. The International Journal of Life Cycle Assessment. 22(6). 972–985. 35 indexed citations
15.
Neves, Luí­s, et al.. (2015). Bayesian assessment of an existing bridge: a case study. Structure and Infrastructure Engineering. 12(1). 61–77. 26 indexed citations
16.
Neves, Luí­s, et al.. (2013). PROBABILISTIC ANALYSIS OF BEARING CAPACITY OF SHALLOW FOUNDATIONS USING THREE-DIMENSIONAL LIMIT ANALYSES. International Journal of Computational Methods. 11(2). 1342008–1342008. 26 indexed citations
17.
Neves, Luí­s, et al.. (2011). Robustness analysis of traditional timber trusses. RepositóriUM (Universidade do Minho).
18.
Neves, Luí­s, et al.. (2011). Robustness analysis of deteriorating reinforced concrete slabs. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 31(40). 9709–16. 1 indexed citations
19.
Sousa, Hélder S., Paulo B. Lourénço, & Luí­s Neves. (2010). Safety Evaluation of Timber Structures through Probabilistic Analysis. Advanced materials research. 133-134. 337–342. 4 indexed citations
20.
Neves, Luí­s, Dan M. Frangopol, & Paulo J. S. Cruz. (2006). Lifetime multi-objective optimization of maintenance of existing steel structures. American Journal of Physiology-Endocrinology and Metabolism. 303(3). E332–3. 3 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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