D.J. Lekou

839 total citations
20 papers, 356 citations indexed

About

D.J. Lekou is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Statistics, Probability and Uncertainty. According to data from OpenAlex, D.J. Lekou has authored 20 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Civil and Structural Engineering, 9 papers in Mechanics of Materials and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in D.J. Lekou's work include Structural Health Monitoring Techniques (9 papers), Probabilistic and Robust Engineering Design (6 papers) and Mechanical Behavior of Composites (6 papers). D.J. Lekou is often cited by papers focused on Structural Health Monitoring Techniques (9 papers), Probabilistic and Robust Engineering Design (6 papers) and Mechanical Behavior of Composites (6 papers). D.J. Lekou collaborates with scholars based in Greece, Denmark and Netherlands. D.J. Lekou's co-authors include T.P. Philippidis, Leon Mishnaevsky, D. G. Aggelis, Kyriakos Papadopoulos, Johannes P.T.M. van Leeuwen, Niels N. Sørensen, E. S. Politis, K. Smolders, Dimitris A. Saravanos and A. G. Dutton and has published in prestigious journals such as Clinical Orthopaedics and Related Research, Composites Science and Technology and Composites Part B Engineering.

In The Last Decade

D.J. Lekou

20 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J. Lekou Greece 10 198 170 119 82 65 20 356
Hichem Smaoui Tunisia 13 138 0.7× 332 2.0× 72 0.6× 105 1.3× 16 0.2× 43 482
Rajamohan Ganesan Malaysia 12 171 0.9× 195 1.1× 49 0.4× 143 1.7× 76 1.2× 51 459
Lars C. T. Overgaard Denmark 11 312 1.6× 210 1.2× 24 0.2× 133 1.6× 68 1.0× 21 473
Stephen P. Engelstad United States 12 390 2.0× 239 1.4× 94 0.8× 91 1.1× 28 0.4× 48 478
T. Y. Yang United States 12 191 1.0× 488 2.9× 78 0.7× 102 1.2× 29 0.4× 22 609
Qiuwei Yang China 13 182 0.9× 521 3.1× 80 0.7× 80 1.0× 18 0.3× 69 622
Adrian Radu United States 8 207 1.0× 285 1.7× 38 0.3× 66 0.8× 61 0.9× 14 430
Martin Krejsa Czechia 13 200 1.0× 381 2.2× 129 1.1× 131 1.6× 10 0.2× 80 504
Peter Berring Denmark 12 240 1.2× 234 1.4× 36 0.3× 120 1.5× 114 1.8× 39 410
Andries de Boer Netherlands 9 149 0.8× 189 1.1× 21 0.2× 91 1.1× 37 0.6× 66 333

Countries citing papers authored by D.J. Lekou

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Lekou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.J. Lekou. 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 D.J. Lekou. The network helps show where D.J. Lekou may publish in the future.

Co-authorship network of co-authors of D.J. Lekou

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Lekou. A scholar is included among the top collaborators of D.J. Lekou 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 D.J. Lekou. D.J. Lekou 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.
Lekou, D.J., Kim Branner, Peter Berring, et al.. (2015). A Critical Evaluation of Structural Analysis Tools used for the Design of Large Composite Wind Turbine Rotor Blades under Ultimate and Cycle Loading. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 3 indexed citations
2.
Lekou, D.J., et al.. (2012). PROcedures for TESTing and measuring wind turbine components; results for yaw and pitch system and drive train. Wind Energy. 16(6). 827–843. 9 indexed citations
3.
Mishnaevsky, Leon, et al.. (2011). Materials of large wind turbine blades: recent results in testing and modeling. Wind Energy. 15(1). 83–97. 52 indexed citations
4.
Lekou, D.J., et al.. (2010). PROTEST. Suggestions for improved standards. TNO Repository. 1 indexed citations
5.
Lekou, D.J., et al.. (2010). Estimation of the Uncertainty in Measurement of Composite Material Mechanical Properties During Static Testing. Strain. 47(5). 430–438. 10 indexed citations
6.
Lekou, D.J., et al.. (2009). WT Load Measurement Uncertainty: Load-Based Versus Analytical Strain-Gauge Calibration Method. Journal of Solar Energy Engineering. 131(1). 4 indexed citations
7.
Lekou, D.J. & T.P. Philippidis. (2009). PRE‐ and POST‐THIN: a tool for the probabilistic design and analysis of composite rotor blade strength. Wind Energy. 12(7). 676–691. 25 indexed citations
8.
Lekou, D.J. & T.P. Philippidis. (2008). Mechanical property variability in FRP laminates and its effect on failure prediction. Composites Part B Engineering. 39(7-8). 1247–1256. 93 indexed citations
9.
Lekou, D.J., et al.. (2005). NEW WISPER - Creating a New Standard Load Sequence From Modern Wind Turbine Data. Clinical Orthopaedics and Related Research. 270–7. 4 indexed citations
10.
Chaviaropoulos, P., E. S. Politis, D.J. Lekou, et al.. (2005). Enhancing the damping of wind turbine rotor blades, the DAMPBLADE project. Wind Energy. 9(1-2). 163–177. 18 indexed citations
11.
Dutton, A. G., et al.. (2002). DAMAGE CLASSIFICATION OF ACOUSTIC EMISSION USING AEGIS PATTERN RECOGNITION SOFTWARE FROM TEN SMALL WIND TURBINE BLADE TESTS. DSpace - NTUA (National Technical University of Athens). 1 indexed citations
12.
Dutton, A. G., et al.. (2002). STRUCTURAL INTEGRITY EVALUATION OF WIND TURBINE BLADES USING PATTERN RECOGNITION ANALYSIS ON ACOUSTIC EMISSION DATA. DSpace - NTUA (National Technical University of Athens). 18 indexed citations
13.
Leeuwen, Johannes P.T.M. van, et al.. (2002). Comparing Fatigue Strength From Full Scale Blade Tests With Coupon-Based Predictions. Journal of Solar Energy Engineering. 124(4). 404–411. 16 indexed citations
14.
Leeuwen, Johannes P.T.M. van, et al.. (2002). Comparing Fatigue Strength From Full Scale Blade Tests With Coupon-Based Predictions. 1–9. 3 indexed citations
15.
Papadopoulos, Kyriakos, et al.. (2000). Assessment of the strain gauge technique for measurement of wind turbine blade loads. Wind Energy. 3(1). 35–65. 31 indexed citations
16.
Philippidis, T.P., et al.. (2000). On the stochastic nature of thermomechanical properties in glass reinforced polyester laminates. Composite Structures. 49(3). 293–301. 7 indexed citations
17.
Philippidis, T.P., et al.. (2000). Assessment of the strain gauge technique for measurement of wind turbine blade loads. Wind Energy. 3(1). 35–65. 3 indexed citations
18.
Philippidis, T.P., D.J. Lekou, & D. G. Aggelis. (1999). Mechanical property distribution of CFRP filament wound composites. Composite Structures. 45(1). 41–50. 28 indexed citations
19.
Philippidis, T.P. & D.J. Lekou. (1998). Probabilistic failure prediction for FRP composites. Composites Science and Technology. 58(12). 1973–1982. 24 indexed citations
20.
Philippidis, T.P. & D.J. Lekou. (1998). A PROBABILISTIC APPROACH TO FAILURE PREDICTION OF FRP LAMINATED COMPOSITES. Mechanics of Advanced Materials and Structures. 5(4). 371–382. 6 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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