José C. Matos
- Civil and Structural Engineering top 1%
- Building and Construction top 2%
- Statistics, Probability and Uncertainty top 1%
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- Hélder S. SousaDaniel V. OliveiraAlfred StraußAntónio Abel HenriquesJoan R. CasasElyas GhafooriElisabete TeixeiraLinda Giresini
- Topics
- Infrastructure Maintenance and Monitoring (80 papers)Concrete Corrosion and Durability (77 papers)Structural Health Monitoring Techniques (59 papers)
- Cited by
- Civil and Structural EngineeringStatistics, Probability and UncertaintyBuilding and Construction
- Journals
- SHILAP Revista de lepidopterologíaConstruction and Building MaterialsExpert Systems with Applications
- Partner nations
- PortugalSpainNetherlands
In The Last Decade
José C. Matos
163 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Civil and Structural Engineering 1.0k
- Building and Construction 267
- Statistics, Probability and Uncertainty 242
- Mechanical Engineering 142
- Materials Chemistry 81
Countries citing papers authored by José C. Matos
This map shows the geographic impact of José C. Matos'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 José C. Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José C. Matos more than expected).
Fields of papers citing papers by José C. Matos
This network shows the impact of papers produced by José C. Matos. 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 José C. Matos. The network helps show where José C. Matos may publish in the future.
Co-authorship network of co-authors of José C. Matos
This figure shows the co-authorship network connecting the top 25 collaborators of José C. Matos. A scholar is included among the top collaborators of José C. Matos 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 José C. Matos. José C. Matos 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 | 10 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | From quality control to decision-making on the management of bridges and structures: What’s next? | 1 |
| 20 | 46 |
About José C. Matos
José C. Matos is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Building and Construction, having authored 187 papers that have together received 1.3k indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (80 papers), Concrete Corrosion and Durability (77 papers) and Structural Health Monitoring Techniques (59 papers). The work is most often cited by research in Civil and Structural Engineering (1.0k citations), Statistics, Probability and Uncertainty (242 citations) and Building and Construction (267 citations). José C. Matos has collaborated with scholars based in Portugal, Spain and Netherlands. Frequent co-authors include Hélder S. Sousa, Daniel V. Oliveira, Alfred Strauß, António Abel Henriques, Joan R. Casas, Elyas Ghafoori, Elisabete Teixeira, Linda Giresini, Mauro Sassu and Luís Neves. Their work appears in journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Expert Systems with Applications.
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.