Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Faster and Better: A Machine Learning Approach to Corner Detection
20081.3k citationsEdward Rosten, Reid Porter et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
Fusing points and lines for high performance tracking
2005731 citationsEdward Rosten, Tom Drummondprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Edward Rosten'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 Edward Rosten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Rosten more than expected).
This network shows the impact of papers produced by Edward Rosten. 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 Edward Rosten. The network helps show where Edward Rosten may publish in the future.
Co-authorship network of co-authors of Edward Rosten
This figure shows the co-authorship network connecting the top 25 collaborators of Edward Rosten.
A scholar is included among the top collaborators of Edward Rosten 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 Edward Rosten. Edward Rosten is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Reitmayr, Gerhard, et al.. (2010). Rapid 3D modelling from live video. International Convention on Information and Communication Technology, Electronics and Microelectronics. 252–257.3 indexed citations
Taylor, Simon, et al.. (2009). Robust feature matching in 2.3 microseconds. Cambridge University Engineering Department Publications Database.1 indexed citations
9.
Taylor, Stephen R., Edward Rosten, & Tom Drummond. (2009). Robust feature matching in 2.3µs. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.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.