J.M. Machado
- Electrical and Electronic Engineering
- Mechanics of Materials top 10%
- Artificial Intelligence
- Atomic and Molecular Physics, and Optics
- Computational Mechanics
- Co-authors
- S. L. HoShiyou YangJosé Roberto CardosoHeung WongGuangzheng NiMarcos A. R. FrancoM.A. RahmanPing Zhou
- Topics
- Numerical methods in engineering (7 papers)Genomics and Phylogenetic Studies (6 papers)Electromagnetic Simulation and Numerical Methods (5 papers)
In The Last Decade
J.M. Machado
39 papers receiving 364 citations
Peers
Comparison fields: 5 of 77
- Electrical and Electronic Engineering 132
- Mechanics of Materials 114
- Artificial Intelligence 75
- Atomic and Molecular Physics, and Optics 58
- Computational Mechanics 51
Countries citing papers authored by J.M. Machado
This map shows the geographic impact of J.M. Machado'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.M. Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Machado more than expected).
Fields of papers citing papers by J.M. Machado
This network shows the impact of papers produced by J.M. Machado. 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.M. Machado. The network helps show where J.M. Machado may publish in the future.
Co-authorship network of co-authors of J.M. Machado
This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Machado. A scholar is included among the top collaborators of J.M. Machado 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.M. Machado. J.M. Machado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | QUATERNION FUNCTIONS AND FOUR-DIMENSIONAL RIEMANNIAN METRICS | 0 |
| 14 | Solutions for a class of integro-differential equations with time periodic coefficients | 11 |
| 15 | 28 | |
| 16 | 56 | |
| 17 | An application of the Element Free Galerkin Method to the analysis of quantum well structures | 1 |
| 18 | 28 | |
| 19 | 11 | |
| 20 | 8 |
About J.M. Machado
J.M. Machado is a scholar working on Computer Graphics and Computer-Aided Design, General Engineering and Mechanics of Materials, having authored 41 papers that have together received 387 indexed citations. Recurring topics across this work include Numerical methods in engineering (7 papers), Genomics and Phylogenetic Studies (6 papers) and Electromagnetic Simulation and Numerical Methods (5 papers). The work is most often cited by research in Modeling and Simulation (24 citations), Mechanics of Materials (114 citations) and Numerical Analysis (20 citations). J.M. Machado has collaborated with scholars based in Brazil, China and Hong Kong. Frequent co-authors include S. L. Ho, Shiyou Yang, José Roberto Cardoso, Heung Wong, Guangzheng Ni, Shiyou Yang, Marcos A. R. Franco, M.A. Rahman, Ping Zhou and Alex Sandro Roschildt Pinto. Their work appears in journals such as Expert Systems with Applications, Computer Methods in Applied Mechanics and Engineering and BMC Bioinformatics.
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.