Daniele Pelessone
- Civil and Structural Engineering top 1%
- Mechanics of Materials top 2%
- Computational Mechanics top 5%
- Building and Construction top 5%
- Materials Chemistry
- Co-authors
- Gianluca CusatisAndrea MencarelliJames T. BaylotJames L. O’DanielJoseph D. BaumRainald LöhnerChi YangEric Mestreau
- Topics
- Fluid Dynamics Simulations and Interactions (13 papers)Rock Mechanics and Modeling (9 papers)High-Velocity Impact and Material Behavior (8 papers)
- Partner nations
- United StatesCzechiaBelgium
In The Last Decade
Daniele Pelessone
34 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Civil and Structural Engineering 751
- Mechanics of Materials 512
- Computational Mechanics 274
- Building and Construction 215
- Materials Chemistry 204
Countries citing papers authored by Daniele Pelessone
This map shows the geographic impact of Daniele Pelessone'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 Daniele Pelessone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Pelessone more than expected).
Fields of papers citing papers by Daniele Pelessone
This network shows the impact of papers produced by Daniele Pelessone. 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 Daniele Pelessone. The network helps show where Daniele Pelessone may publish in the future.
Co-authorship network of co-authors of Daniele Pelessone
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Pelessone. A scholar is included among the top collaborators of Daniele Pelessone 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 Daniele Pelessone. Daniele Pelessone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 251 | |
| 7 | 96 | |
| 8 | Lattice Discrete Particle Model (LDPM) for failure behavior of concrete. I: Theorybreakdown → | 366 |
| 9 | Towards the computational analysis of blast-induced debris dynamics | 1 |
| 10 | 13 | |
| 11 | 19 | |
| 12 | 5 | |
| 13 | Lattice Discrete Particle Model (LDPM): Formulation, Calibration, and Validation | 4 |
| 14 | 10 | |
| 15 | 16 | |
| 16 | 21 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 1 | |
| 20 | A Consistent Linearization Method for Finite Element Analysis of Viscoelastic Materials | 5 |
About Daniele Pelessone
Daniele Pelessone is a scholar working on Computational Mechanics, Civil and Structural Engineering and Mechanics of Materials, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (13 papers), Rock Mechanics and Modeling (9 papers) and High-Velocity Impact and Material Behavior (8 papers). The work is most often cited by research in Civil and Structural Engineering (751 citations), Mechanics of Materials (512 citations) and Building and Construction (215 citations). Daniele Pelessone has collaborated with scholars based in United States, Czechia and Belgium. Frequent co-authors include Gianluca Cusatis, Andrea Mencarelli, James T. Baylot, James L. O’Daniel, Joseph D. Baum, Rainald Löhner, Chi Yang, Eric Mestreau, Hong Luo and Edward A. Schauffert. Their work appears in journals such as Genetics, Journal of Applied Mechanics and Cement and Concrete Composites.
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.