Tiago Machado
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Mechanics of Materials
- Civil and Structural Engineering
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Kátia Lucchesi CavalcaDiogo Stuani AlvesGregory Bregion DanielHélio Fiori de CastroJoão‐Paulo DiasStephen Ekwaro-OsireN. BachschmidPatrick Keogh
- Topics
- Tribology and Lubrication Engineering (16 papers)Gear and Bearing Dynamics Analysis (16 papers)Machine Fault Diagnosis Techniques (12 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Tiago Machado
27 papers receiving 377 citations
Peers
Comparison fields: 5 of 36
- Mechanical Engineering 305
- Control and Systems Engineering 188
- Mechanics of Materials 73
- Civil and Structural Engineering 61
- Statistics, Probability and Uncertainty 20
Countries citing papers authored by Tiago Machado
This map shows the geographic impact of Tiago 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 Tiago Machado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiago Machado more than expected).
Fields of papers citing papers by Tiago Machado
This network shows the impact of papers produced by Tiago 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 Tiago Machado. The network helps show where Tiago Machado may publish in the future.
Co-authorship network of co-authors of Tiago Machado
This figure shows the co-authorship network connecting the top 25 collaborators of Tiago Machado. A scholar is included among the top collaborators of Tiago 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 Tiago Machado. Tiago 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 9 | |
| 14 | 47 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 37 | |
| 18 | 25 | |
| 19 | 41 | |
| 20 | 1 |
About Tiago Machado
Tiago Machado is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering, having authored 29 papers that have together received 383 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (16 papers), Gear and Bearing Dynamics Analysis (16 papers) and Machine Fault Diagnosis Techniques (12 papers). The work is most often cited by research in Mechanical Engineering (305 citations), Control and Systems Engineering (188 citations) and Mechanics of Materials (73 citations). Tiago Machado has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Kátia Lucchesi Cavalca, Diogo Stuani Alves, Gregory Bregion Daniel, Hélio Fiori de Castro, João‐Paulo Dias, Stephen Ekwaro-Osire, N. Bachschmid, Patrick Keogh, Vera V. Pinto and Maria José Ferreira. Their work appears in journals such as Sensors, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.
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.