Dimitrios Loverdos

417 total citations · 1 hit paper
7 papers, 285 citations indexed

About

Dimitrios Loverdos is a scholar working on Civil and Structural Engineering, Geology and Space and Planetary Science. According to data from OpenAlex, Dimitrios Loverdos has authored 7 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 6 papers in Geology and 1 paper in Space and Planetary Science. Recurrent topics in Dimitrios Loverdos's work include 3D Surveying and Cultural Heritage (6 papers), Infrastructure Maintenance and Monitoring (5 papers) and Structural Health Monitoring Techniques (1 paper). Dimitrios Loverdos is often cited by papers focused on 3D Surveying and Cultural Heritage (6 papers), Infrastructure Maintenance and Monitoring (5 papers) and Structural Health Monitoring Techniques (1 paper). Dimitrios Loverdos collaborates with scholars based in United Kingdom, Italy and Switzerland. Dimitrios Loverdos's co-authors include Vasilis Sarhosis, Angela Ferrante, Gabriele Milani, Francesco Clementi, Antonio Formisano, Stefano Lenci, Efstathios Adamopoulos and Anastasios Drougkas and has published in prestigious journals such as Automation in Construction, Engineering Structures and International Journal of Architectural Heritage.

In The Last Decade

Dimitrios Loverdos

7 papers receiving 276 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic image-based brick segmentation and crack detection of masonry walls using machine learning

2022 104 citations Dimitrios Loverdos, Vasilis Sarhosis Automation in Construction profile →

Peers

Dimitrios Loverdos

CSE

GEOLO

EP

BC

CONSE

Alberto Barontini Portugal

Gaia Barbieri Italy

Susana Maria Trindade Moreira Portugal

Dimitrios Dais Netherlands

Michela Rossi Italy

Filippo Casarin Italy

Erica Lenticchia Italy

João C. Almendra Roque Portugal

Luciano Galano Italy

Marta Giaretton New Zealand

Alberto Barontini Portugal

Dimitrios Loverdos

169 ×0.7

CSE

81 ×0.7

GEOLO

27 ×0.4

EP

59 ×1.2

BC

26 ×1.0

CONSE

Citations per year, relative to Dimitrios Loverdos Dimitrios Loverdos (= 1×) peers Alberto Barontini

Countries citing papers authored by Dimitrios Loverdos

Since Specialization

Citations

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

Fields of papers citing papers by Dimitrios Loverdos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimitrios Loverdos

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Loverdos, Dimitrios & Vasilis Sarhosis. (2024). Pixel-level block classification and crack detection from 3D reconstruction models of masonry structures using convolutional neural networks. Engineering Structures. 310. 118113–118113. 13 indexed citations

2.

Loverdos, Dimitrios & Vasilis Sarhosis. (2023). Image2DEM: A geometrical digital twin generator for the detailed structural analysis of existing masonry infrastructure stock. SoftwareX. 22. 101323–101323. 15 indexed citations

3.

Loverdos, Dimitrios, et al.. (2023). Deep Learning for the Segmentation of Large-Scale Surveys of Historic Masonry: A New Tool for Building Archaeology Applied at the Basilica of St Anthony in Padua. International Journal of Architectural Heritage. 18(11). 1749–1761. 13 indexed citations

4.

Loverdos, Dimitrios & Vasilis Sarhosis. (2022). Geometrical digital twins of masonry structures for documentation and structural assessment using machine learning. Engineering Structures. 275. 115256–115256. 39 indexed citations

5.

Loverdos, Dimitrios & Vasilis Sarhosis. (2022). Automatic image-based brick segmentation and crack detection of masonry walls using machine learning. Automation in Construction. 140. 104389–104389. 104 indexed citations breakdown →

6.

Loverdos, Dimitrios, Vasilis Sarhosis, Efstathios Adamopoulos, & Anastasios Drougkas. (2021). An innovative image processing-based framework for the numerical modelling of cracked masonry structures. Automation in Construction. 125. 103633–103633. 25 indexed citations

7.

Ferrante, Angela, Dimitrios Loverdos, Francesco Clementi, et al.. (2021). Discontinuous approaches for nonlinear dynamic analyses of an ancient masonry tower. Engineering Structures. 230. 111626–111626. 76 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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