This map shows the geographic impact of Robert Evans'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 Robert Evans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Evans more than expected).
This network shows the impact of papers produced by Robert Evans. 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 Robert Evans. The network helps show where Robert Evans may publish in the future.
Co-authorship network of co-authors of Robert Evans
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Evans.
A scholar is included among the top collaborators of Robert Evans 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 Robert Evans. Robert Evans is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kibblewhite, RPaul, et al.. (2006). Kraft Handsheet Property Prediction from the Wood and Fibre Properties of Radiata Pine Seedling and Cloned Trees. 60(6). 255.1 indexed citations
7.
Kibblewhite, RPaul, et al.. (2005). Growth-layer-level Fibre and Wood Property Variation and Interrelationships for Two Radiata Pine Trees with Mild and Severe Compression Wood. 421.
Chen, Fang & Robert Evans. (2004). A Robust Approach for Vessel Identification and Quantification in Eucalypt Pulpwoods. Appita journal. 58(6). 442–447.4 indexed citations
10.
Kibblewhite, RPaul, et al.. (2004). Fibre Length, Microfibril Angle and Wood Colour Variation and Interrelationships for Two Radiata Pine Trees with Mild and Severe Compression Wood. Appita journal. 58(4). 316–322.2 indexed citations
11.
Kibblewhite, RPaul, et al.. (2003). Interrelationships between Kraft Handsheet, and Wood Fibre and Chemical Properties for the Trees and Logs of 29 Eucalyptus fastigata and 29 E. nitens. Appita journal. 57(4). 317–325.7 indexed citations
12.
Schimleck, Laurence R., Geoffrey M. Downes, & Robert Evans. (2003). Estimation of 'Eucalyptus nitens' Wood Properties by Near Infrared Spectroscopy. Appita journal. 59(2). 91.21 indexed citations
13.
Evans, Robert, et al.. (2003). Changes in Density and Wood-fibre Properties with Height Position in 15/16-year-old Eucalyptus nitens and E. Fastigata. Appita journal. 57(3). 240–247.11 indexed citations
14.
Kibblewhite, RPaul, et al.. (2002). Kraft Handsheet, and Wood Tracheid and Chemical Property Interrelationships for 50 Individual Radiata Pine Trees. Appita journal. 56(3). 37.12 indexed citations
Evans, Robert & J. Ilic. (2001). Rapid prediction of wood stiffness from microfibril angle and density.. Forest Products Journal. 51(3). 53–57.229 indexed citations
17.
Kibblewhite, RPaul, et al.. (2001). Prediction of Whole-tree Radiata Pine Kraft Tracheid/Fibre Length from Pith-to-bark Strips Taken 1.4 M from Ground. Appita journal. 55(3). 1.1 indexed citations
18.
Long, John M., et al.. (2000). Comparison of Methods to Measure Fibril Angle in Wood Fibres. Deakin Research Online (Deakin University).12 indexed citations
19.
Evans, Robert, et al.. (2000). Variation of microfibril angle, density and fibre orientation in twenty-nine Eucalyptus nitens trees. Appita journal. 53(6). 450–457.108 indexed citations
20.
Evans, Robert. (1999). A variance approach to the X-ray diffractometric estimation of microfibril angle in wood. Appita journal. 52(4). 283–289.141 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.