This map shows the geographic impact of Tim Martin'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 Tim Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Martin more than expected).
This network shows the impact of papers produced by Tim Martin. 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 Tim Martin. The network helps show where Tim Martin may publish in the future.
Co-authorship network of co-authors of Tim Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Tim Martin.
A scholar is included among the top collaborators of Tim Martin 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 Tim Martin. Tim Martin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Martin, Tim, et al.. (2016). Estimating levels of service (LOS) for freight on rural roads. Road and transport research. 26(1).3 indexed citations
4.
Chowdhury, Sanaul Huq, et al.. (2016). Modelling rapid deterioration of flooded pavements. Road and transport research. 25(2). 3–14.5 indexed citations
5.
Kadar, P, et al.. (2015). Addressing Uncertainties of Performance Modelling with Stochastic Information Packages – Incorporating Uncertainty in Performance and Budget Forecasts. VTechWorks (Virginia Tech).1 indexed citations
6.
Chai, Gary, et al.. (2014). A review of the structural performance of flooded pavements. Griffith Research Online (Griffith University, Queensland, Australia).7 indexed citations
7.
Martin, Tim, et al.. (2009). Performance of Maintenance Treatments Under Accelerated Loading Facility Testing. Transportation research circular.
8.
Martin, Tim, et al.. (2008). A Discussion of Why Traffic Appears Not to Cause Pavement Wear. Road and transport research. 17(2). 72.1 indexed citations
9.
Martin, Tim, et al.. (2008). Why road pavements are replaced: a pilot study.1 indexed citations
10.
Martin, Tim, et al.. (2008). Assessment of remaining service life of pavements.3 indexed citations
11.
Sanjayan, Jay, et al.. (2005). Application of data mining in pavement performance modelling: a case study. Road and transport research. 14(4). 27–43.
12.
Martin, Tim. (2005). Structural deterioration of sealed granular pavements in Australia. Road and transport research. 14(2).3 indexed citations
13.
Martin, Tim. (2004). DATA REVIEW AND CALIBRATION OF HDM-4 ROAD DETERIORATION MODELS. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō.6 indexed citations
14.
Martin, Tim. (2001). THE EFFECT OF CLIMATE ON THE COST OF ROAD MAINTENANCE IN AUSTRALIA. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō.2 indexed citations
15.
Martin, Tim. (2000). Commentary: estimating heavy vehicle attributable road wear costs (marginal cost of road wear). Road and transport research. 9(1).2 indexed citations
Martin, Tim, et al.. (1997). A PARAMETRIC STUDY OF THE INFLUENCE OF MAINTENANCE AND REHABILITATION STRATEGIES ON NETWORK LIFE-CYCLE COSTS. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō.1 indexed citations
18.
Martin, Tim, et al.. (1996). RECOMMENDATIONS FOR MONITORING PAVEMENT PERFORMANCE: NATIONAL STRATEGIC RESEARCH PROJECT. Kagoshima Kenritsu Tanki Daigaku Chiiki Kenkyūjo kenkyū nenpō.2 indexed citations
Martin, Tim. (1992). ROAD USER CHARGING: THE MEDIUM TERM.. Road and transport research.1 indexed citations
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.