This map shows the geographic impact of Curtis Roads'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 Curtis Roads with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis Roads more than expected).
This network shows the impact of papers produced by Curtis Roads. 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 Curtis Roads. The network helps show where Curtis Roads may publish in the future.
Co-authorship network of co-authors of Curtis Roads
This figure shows the co-authorship network connecting the top 25 collaborators of Curtis Roads.
A scholar is included among the top collaborators of Curtis Roads 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 Curtis Roads. Curtis Roads is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Sturm, Bob L., et al.. (2008). ANALYSIS, VISUALIZATION, AND TRANSFORMATION OF AUDIO SIGNALS USING DICTIONARY-BASED METHODS. The Journal of the Abraham Lincoln Association. 2008.3 indexed citations
2.
Sturm, Bob L., J.J. Shynk, Laurent Daudet, & Curtis Roads. (2008). Dark Energy in Sparse Atomic Estimations. IEEE Transactions on Audio Speech and Language Processing. 16(3). 671–676.11 indexed citations
3.
Roads, Curtis. (2006). The evolution of granular synthesis: an overview of current research.
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.