This map shows the geographic impact of Jim Hanan'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 Jim Hanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Hanan more than expected).
This network shows the impact of papers produced by Jim Hanan. 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 Jim Hanan. The network helps show where Jim Hanan may publish in the future.
Co-authorship network of co-authors of Jim Hanan
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Hanan.
A scholar is included among the top collaborators of Jim Hanan 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 Jim Hanan. Jim Hanan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Renton, Michael, David Thornby, & Jim Hanan. (2007). Canonical modelling: an approach for intermediate-level simulation of carbon allocation in functional-structural plant models. 22. 151–164.10 indexed citations
7.
Hanan, Jim, et al.. (2007). Discovering genetic regulatory network models in Pisum sativum. Queensland's institutional digital repository (The University of Queensland). 1. 1999–2005.1 indexed citations
8.
Hanan, Jim, et al.. (2007). Subpopulation agents emerge from individual agents in metapopulation simulations. Queensland's institutional digital repository (The University of Queensland). 17. 46–52.1 indexed citations
9.
Dorr, G. J., et al.. (2006). Simulating spray deposition on plant canopies within a wind tunnel. Queensland's institutional digital repository (The University of Queensland). 77(2). 395–403.1 indexed citations
10.
Hanan, Jim, et al.. (2006). Phenotypic plasticity of sowthistle and its offspring in response to light availability. RUNE (Research UNE). 172–175.1 indexed citations
11.
Dorr, G. J., et al.. (2005). Combining spray drift and plant architecture modeling to minimise environmental and public health risk of pesticide application. Queensland's institutional digital repository (The University of Queensland). 279–285.4 indexed citations
12.
Watson, James R., et al.. (2005). Towards a network pattern language for complex systems. Queensland's institutional digital repository (The University of Queensland). 309–317.2 indexed citations
13.
Hanan, Jim, David Thornby, & S. Adkins. (2005). Modelling cotton plant development with L-systems: A template model for incorporating physiology. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 1243–1250.3 indexed citations
14.
Sindel, B. M., et al.. (2005). Using L-systems to simulate chickpea cultivars and their shading abilities. Queensland's institutional digital repository (The University of Queensland). 1230–1236.3 indexed citations
Watson, James R., Janet Wiles, & Jim Hanan. (2003). Towards More Relevant Evolutionary Models: Integrating an Artificial Genome With a Developmental Phenotype. Queensland's institutional digital repository (The University of Queensland). 1. 288–298.3 indexed citations
18.
Prusinkiewicz, Przemysław, Radoslaw Karwowski, Radomír Měch, & Jim Hanan. (2000). L-studio/cpfg: A software system for modeling plants. Lecture notes in computer science. 1779. 457–464.45 indexed citations
Prusinkiewicz, Przemysław & Jim Hanan. (1990). Visualization of botanical structures and processes using parametric L-systems. John Wiley & Sons, Inc. eBooks. 183–201.32 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.