J.P.B. Leite
Impact in
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- Topology Optimization in Engineering
- Innovative concrete reinforcement materials
- Concrete and Cement Materials Research
- Mechanics of Materials top 10%
- Rock Mechanics and Modeling
- Numerical methods in engineering
- Composite Material Mechanics
Papers in
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- Metaheuristic Optimization Algorithms Research 3
- Evolutionary Algorithms and Applications 2
- Neural Networks and Applications 1
-
- Concrete and Cement Materials Research 2
- Innovative concrete reinforcement materials 1
- Structural Health Monitoring Techniques 1
- Co-authors
- B.H.V. Topping (5 shared papers)Volker Slowik (2 shared papers)Hirozo Mihashi (1 shared paper)Jörn Apel (1 shared paper)Bin Cheng (1 shared paper)Ardeshir Bahreininejad (1 shared paper)
- Journals
- Computers & Structures (2 papers)Advances in Engineering Software (2 papers)Engineering Optimization (1 paper)Cement and Concrete Research (1 paper)
- Partner nations
- United KingdomJapanGermany
In The Last Decade
J.P.B. Leite
7 papers receiving 343 citations
Peers
Comparison fields: 5 of 47
- Civil and Structural Engineering 241
- Mechanics of Materials 167
- Building and Construction 64
- Computational Theory and Mathematics 66
- Architecture 6
Countries citing papers authored by J.P.B. Leite
This map shows the geographic impact of J.P.B. Leite'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.P.B. Leite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.P.B. Leite more than expected).
Fields of papers citing papers by J.P.B. Leite
This network shows the impact of papers produced by J.P.B. Leite. 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.P.B. Leite. The network helps show where J.P.B. Leite may publish in the future.
Co-authors
The 6 scholars most cited alongside J.P.B. Leite, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 147 | |
| 2 | 1999 | 65 | |
| 3 | 1998 | 64 | |
| 4 | 2007 | 48 | |
| 5 | 1998 | 38 | |
| 6 | 1998 | 11 | |
| 7 | Parallel processing, neural networks and genetic algorithms. | 1997 | 1 |
About J.P.B. Leite
J.P.B. Leite is a scholar working on Artificial Intelligence, Civil and Structural Engineering, Computational Theory and Mathematics, Building and Construction and Computer Networks and Communications, having authored 7 papers that have together received 374 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Evolutionary Algorithms and Applications (2 papers), Concrete and Cement Materials Research (2 papers), Innovations in Concrete and Construction Materials (2 papers), Innovative concrete reinforcement materials (1 paper), Neural Networks and Applications (1 paper) and Structural Health Monitoring Techniques (1 paper). The work is most often cited by research in Civil and Structural Engineering (241 citations), Mechanics of Materials (167 citations), Building and Construction (64 citations), Computational Theory and Mathematics (66 citations) and Architecture (6 citations). J.P.B. Leite has collaborated with scholars based in United Kingdom, Japan and Germany. Frequent co-authors include B.H.V. Topping, Volker Slowik, Hirozo Mihashi, Jörn Apel, Bin Cheng and Ardeshir Bahreininejad. Their work appears in journals such as Computers & Structures, Advances in Engineering Software, Engineering Optimization and Cement and Concrete Research.
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.