Archives of Computational Methods in Engineering
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In The Last Decade
Archives of Computational Methods in Engineering
1.3k papers receiving 48.4k citations
Fields of papers published in Archives of Computational Methods in Engineering
This network shows the impact of papers published in Archives of Computational Methods in Engineering. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Archives of Computational Methods in Engineering.
Countries where authors publish in Archives of Computational Methods in Engineering
This map shows the geographic impact of research published in Archives of Computational Methods in Engineering. 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 papers published in Archives of Computational Methods in Engineering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archives of Computational Methods in Engineering more than expected).
- Smoothed Particle Hydrodynamics (SPH): an Overview and Recent Developments (2010)
- Theories and Finite Elements for Multilayered Plates and Shells:A Unified compact formulation with numerical assessment and benchmarking (2003)
- Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review (2022)
- A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning (2019)
- Structural Analysis of Masonry Historical Constructions. Classical and Advanced Approaches (2010)
- Advances in Spotted Hyena Optimizer: A Comprehensive Survey (2021)
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.