Matthew J. Berryman
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Molecular Biology
- Statistical and Nonlinear Physics top 10%
- Transportation top 10%
- Co-authors
- Derek AbbottPascal PerezMark D. McDonnellAndrew AllisonSabrina L. SpencerJohan BarthélemyThomas E. AndersonBrian N. Bershad
- Topics
- Urban Transport and Accessibility (11 papers)Transportation Planning and Optimization (10 papers)Economic and Environmental Valuation (6 papers)
- Partner nations
- AustraliaUnited StatesIndonesia
In The Last Decade
Matthew J. Berryman
48 papers receiving 493 citations
Peers
Comparison fields: 5 of 118
- Computer Networks and Communications 97
- Artificial Intelligence 77
- Molecular Biology 74
- Statistical and Nonlinear Physics 67
- Transportation 60
Countries citing papers authored by Matthew J. Berryman
This map shows the geographic impact of Matthew J. Berryman'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 J. Berryman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Berryman more than expected).
Fields of papers citing papers by Matthew J. Berryman
This network shows the impact of papers produced by Matthew J. Berryman. 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 J. Berryman. The network helps show where Matthew J. Berryman may publish in the future.
Co-authorship network of co-authors of Matthew J. Berryman
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Berryman. A scholar is included among the top collaborators of Matthew J. Berryman 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 J. Berryman. Matthew J. Berryman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | Analysing the Merit of Latent Variables over Traditional Objective Attributes for Traveller Mode Choice Using RPL Model | 2 |
| 8 | 29 | |
| 9 | 6 | |
| 10 | 57 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | Nonlinear aspects of the EEG during sleep in children | 5 |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 5 | |
| 19 | 56 | |
| 20 | 60 |
About Matthew J. Berryman
Matthew J. Berryman is a scholar working on Transportation, Automotive Engineering and Management Science and Operations Research, having authored 49 papers that have together received 531 indexed citations. Recurring topics across this work include Urban Transport and Accessibility (11 papers), Transportation Planning and Optimization (10 papers) and Economic and Environmental Valuation (6 papers). The work is most often cited by research in Transportation (60 citations), Modeling and Simulation (41 citations) and Statistical and Nonlinear Physics (67 citations). Matthew J. Berryman has collaborated with scholars based in Australia, United States and Indonesia. Frequent co-authors include Derek Abbott, Pascal Perez, Mark D. McDonnell, Andrew Allison, Sabrina L. Spencer, Johan Barthélemy, Thomas E. Anderson, Brian N. Bershad, Neil Spring and Tālis J. Putniņš. Their work appears in journals such as PLoS ONE, Journal of Theoretical Biology and Physics Letters A.
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.