J.G. Rots

6.5k total citations · 3 hit papers
132 papers, 4.8k citations indexed

About

J.G. Rots is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Building and Construction. According to data from OpenAlex, J.G. Rots has authored 132 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Civil and Structural Engineering, 39 papers in Mechanics of Materials and 36 papers in Building and Construction. Recurrent topics in J.G. Rots's work include Masonry and Concrete Structural Analysis (70 papers), Seismic Performance and Analysis (27 papers) and Rock Mechanics and Modeling (26 papers). J.G. Rots is often cited by papers focused on Masonry and Concrete Structural Analysis (70 papers), Seismic Performance and Analysis (27 papers) and Rock Mechanics and Modeling (26 papers). J.G. Rots collaborates with scholars based in Netherlands, Italy and Norway. J.G. Rots's co-authors include Paulo B. Lourénço, Johan Blaauwendraad, René de Borst, Max A.N. Hendriks, Stefano Invernizzi, Francesco Messali, Rita Esposito, Giorgia Giardina, Antonio Maria D’Altri and Giovanni Castellazzi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Construction and Building Materials.

In The Last Decade

J.G. Rots

120 papers receiving 4.6k citations

Hit Papers

Multisurface Interface Model for Analysis of Masonry Stru... 1988 2026 2000 2013 1997 1988 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.G. Rots Netherlands 32 4.0k 1.9k 1.6k 996 292 132 4.8k
B.A. Izzuddin United Kingdom 37 4.4k 1.1× 1.7k 0.9× 660 0.4× 218 0.2× 300 1.0× 200 4.8k
Luigi Biolzi Italy 33 2.4k 0.6× 1.3k 0.7× 565 0.4× 467 0.5× 514 1.8× 86 3.1k
Federico M. Mazzolani Italy 39 3.5k 0.9× 1.5k 0.8× 556 0.4× 247 0.2× 682 2.3× 190 4.2k
Pere Roca Spain 35 3.3k 0.8× 1.4k 0.8× 434 0.3× 1.3k 1.3× 208 0.7× 152 3.6k
Raffaele Landolfo Italy 41 4.4k 1.1× 2.0k 1.1× 467 0.3× 212 0.2× 596 2.0× 238 4.8k
Gianmarco de Felice Italy 38 4.3k 1.1× 2.3k 1.2× 259 0.2× 1.5k 1.5× 184 0.6× 141 4.5k
Chiara Bedon Italy 36 2.5k 0.6× 1.2k 0.6× 381 0.2× 685 0.7× 2.2k 7.5× 265 4.0k
Luca Pelà Spain 30 2.5k 0.6× 901 0.5× 397 0.3× 1.1k 1.1× 134 0.5× 91 2.8k
Climent Molins Spain 29 2.1k 0.5× 1.1k 0.6× 313 0.2× 255 0.3× 125 0.4× 113 2.6k
Manicka Dhanasekar Australia 33 2.4k 0.6× 1.1k 0.6× 589 0.4× 447 0.4× 1.2k 4.1× 162 3.0k

Countries citing papers authored by J.G. Rots

Since Specialization
Citations

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

Fields of papers citing papers by J.G. Rots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.G. Rots

This figure shows the co-authorship network connecting the top 25 collaborators of J.G. Rots. A scholar is included among the top collaborators of J.G. Rots 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 J.G. Rots. J.G. Rots 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.
Messali, Francesco, et al.. (2026). Cyclic constitutive model for masonry joint damage and energy dissipation using the distinct element method. Computers & Structures. 321. 108094–108094.
2.
D’Altri, Antonio Maria, et al.. (2025). Challenges in High‐Fidelity Implicit Block‐Based Numerical Simulation of Dynamic Out‐of‐Plane Two‐Way Bending in Unreinforced Brick Masonry Walls. Earthquake Engineering & Structural Dynamics. 54(7). 1836–1858.
4.
Giardina, Giorgia, et al.. (2025). Comparative study of NLFE models for simulating settlement-induced damage in masonry façades: macro- and simplified micro-models. Frontiers in Built Environment. 11. 1 indexed citations
5.
Messali, Francesco, et al.. (2024). Characterisation of timber joists-masonry connections in double-leaf cavity walls – Part 1: Experimental results. Structures. 68. 107164–107164. 1 indexed citations
6.
D’Altri, Antonio Maria, et al.. (2024). A block-based numerical strategy for modeling the dynamic out-of-plane behavior of unreinforced brick masonry walls. Meccanica. 60(7). 2069–2105. 3 indexed citations
7.
Korff, Mandy, et al.. (2024). 2D and 3D Modelling Strategies to Reproduce the Response of Historical Masonry Buildings Subjected to Settlements. International Journal of Architectural Heritage. 19(5). 753–769. 2 indexed citations
8.
Messali, Francesco, et al.. (2023). Detailed distinct element modeling of a Utrecht wharf cellar for the assessment of the load-bearing capacity and failure mechanism. Research Repository (Delft University of Technology). 6. 1–10. 1 indexed citations
9.
Rots, J.G., et al.. (2021). A correlation study to support material characterisation of typical Dutch masonry structures. Journal of Building Engineering. 45. 103450–103450. 27 indexed citations
10.
Li, Qingpeng, et al.. (2018). Form-control of shell structures generated from hanging models with target heights. International Journal of Space Structures. 33(1). 48–60. 1 indexed citations
11.
Rots, J.G., et al.. (2016). Algorithm for Non-Proportional Loading in Sequentially Linear Analysis. Data Archiving and Networked Services (DANS). 3 indexed citations
12.
Rots, J.G., et al.. (2016). Computational modelling of masonry with a view to Groningen induced seismicity. Research Repository (Delft University of Technology). 1. 5 indexed citations
13.
Giardina, Giorgia, et al.. (2013). 3D numerical analysis of tunnelling induced damage: The influence of the alignment of a masonry building with the tunnel axis. Research Repository (Delft University of Technology). 1 indexed citations
14.
Hendriks, Max A.N., et al.. (2013). C¹ - continuous crack propagation for mixed-mode fracture problems. Research Repository (Delft University of Technology). 265(5174). 907–918. 1 indexed citations
15.
Rots, J.G., Beatrice Belletti, & Stefano Invernizzi. (2006). On the shape of saw-tooth softening curves for sequentially linear analysis. PORTO Publications Open Repository TOrino (Politecnico di Torino). 3 indexed citations
16.
Rots, J.G., et al.. (2006). Event-by-event strategies for modeling Amsterdam masonry structures. Biochemical and Biophysical Research Communications. 2(2). 1195–1203. 3 indexed citations
17.
Rots, J.G.. (1997). Structural masonry : an experimental/numerical basis for practical design rules. A.A. Balkema eBooks. 67 indexed citations
18.
Rots, J.G., et al.. (1995). Two approaches for the analysis of masonry structures: Micro and macro-modeling. Research Repository (Delft University of Technology). 86 indexed citations
19.
Mier, J.G.M. van, J.G. Rots, & A. Bakker. (1991). Macroscopic modelling and structural engineering. Taylor & Francis eBooks. 1 indexed citations
20.
Rots, J.G., et al.. (1985). Smeared Crack Approach and Fracture Localization in Concrete. Research Repository (Delft University of Technology). 282 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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