This map shows the geographic impact of Iain Bethune'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 Iain Bethune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain Bethune more than expected).
This network shows the impact of papers produced by Iain Bethune. 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 Iain Bethune. The network helps show where Iain Bethune may publish in the future.
Co-authorship network of co-authors of Iain Bethune
This figure shows the co-authorship network connecting the top 25 collaborators of Iain Bethune.
A scholar is included among the top collaborators of Iain Bethune 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 Iain Bethune. Iain Bethune is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Laughton, Charles A., Ramón Goñi, Iain Bethune, et al.. (2015). ExTASY: A python-based Extensible Toolkit for Advanced Sampling and Analysis in Biomolecular Simulation.2 indexed citations
Bethune, Iain, J. Mark Bull, Nicholas J. Dingle, & Nicholas J. Higham. (2011). Investigating the Performance of Asynchronous Jacobi's Method for Solving Systems of Linear Equations. MIMS EPrints (University of Southampton).3 indexed citations
Bethune, Iain. (2010). Improving the scalability of CP2K on multi-core systems. ERA.1 indexed citations
19.
Bethune, Iain. (2010). Improving the Performance of CP2K on the Cray XT. ERA.2 indexed citations
20.
Bethune, Iain. (2009). Improving the performance of CP2K on HECToR. ERA.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.