Matthew Collette
- Statistics, Probability and Uncertainty top 2%
- Mechanical Engineering
- Civil and Structural Engineering top 10%
- Computational Theory and Mathematics top 5%
- Mechanics of Materials
- Co-authors
- Yan LiuJames W. GoseDavid J. SingerJoaquim R. R. A. MartinsArmin W. TroeschAtilla İncecikJeom Kee PaikSjoerd van der Veen
- Topics
- Ship Hydrodynamics and Maneuverability (13 papers)Structural Integrity and Reliability Analysis (11 papers)Probabilistic and Robust Engineering Design (10 papers)
- Cited by
- Statistics, Probability and UncertaintyEnergy Engineering and Power TechnologyComputational Theory and Mathematics
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Matthew Collette
35 papers receiving 429 citations
Peers
Comparison fields: 5 of 60
- Statistics, Probability and Uncertainty 142
- Mechanical Engineering 122
- Civil and Structural Engineering 110
- Computational Theory and Mathematics 87
- Mechanics of Materials 84
Countries citing papers authored by Matthew Collette
This map shows the geographic impact of Matthew Collette'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 Matthew Collette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Collette more than expected).
Fields of papers citing papers by Matthew Collette
This network shows the impact of papers produced by Matthew Collette. 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 Matthew Collette. The network helps show where Matthew Collette may publish in the future.
Co-authorship network of co-authors of Matthew Collette
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Collette. A scholar is included among the top collaborators of Matthew Collette 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 Matthew Collette. Matthew Collette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 11 | |
| 6 | 24 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 25 | |
| 15 | 6 | |
| 16 | 50 | |
| 17 | 46 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 1 |
About Matthew Collette
Matthew Collette is a scholar working on Statistics, Probability and Uncertainty, Ocean Engineering and Energy Engineering and Power Technology, having authored 41 papers that have together received 447 indexed citations. Recurring topics across this work include Ship Hydrodynamics and Maneuverability (13 papers), Structural Integrity and Reliability Analysis (11 papers) and Probabilistic and Robust Engineering Design (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (142 citations), Energy Engineering and Power Technology (21 citations) and Computational Theory and Mathematics (87 citations). Matthew Collette has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Yan Liu, James W. Gose, David J. Singer, Joaquim R. R. A. Martins, Armin W. Troesch, Atilla İncecik, Jeom Kee Paik, Sjoerd van der Veen, Eytan J. Adler and Timothy J. Wallington. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Joule and Applied Soft Computing.
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.