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.
High-quality video view interpolation using a layered representation
20041.0k citationsC. Lawrence Zitnick, Sing Bing Kang et al.ACM Transactions on Graphicsprofile →
Discriminative Learning of Local Image Descriptors
2010312 citationsMatthew A. Brown, Gang Hua et al.IEEE Transactions on Pattern Analysis and Machine Intelligenceprofile →
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 Simon Winder'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 Simon Winder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Winder more than expected).
This network shows the impact of papers produced by Simon Winder. 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 Simon Winder. The network helps show where Simon Winder may publish in the future.
Co-authorship network of co-authors of Simon Winder
This figure shows the co-authorship network connecting the top 25 collaborators of Simon Winder.
A scholar is included among the top collaborators of Simon Winder 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 Simon Winder. Simon Winder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
17 of 17 papers shown
1.
Brown, Matthew A., Gang Hua, & Simon Winder. (2010). Discriminative Learning of Local Image Descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(1). 43–57.312 indexed citations breakdown →
2.
Szeliski, Richard & Simon Winder. (2010). High-quality multi-pass image resampling.4 indexed citations
3.
Winder, Simon, Gang Hua, & Matthew A. Brown. (2009). Picking the best DAISY. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 178–185.180 indexed citations
Zitnick, C. Lawrence, Sing Bing Kang, Matthew Uyttendaele, Simon Winder, & Richard Szeliski. (2004). High-quality video view interpolation using a layered representation. ACM Transactions on Graphics. 23(3). 600–608.1014 indexed citations breakdown →
10.
Kang, Sing Bing, C. Lawrence Zitnick, Matthew Uyttendaele, et al.. (2004). Free-viewpoint video with stereo and matting.1 indexed citations
Uyttendaele, Matthew, Antonio Criminisi, Sing Bing Kang, et al.. (2004). High-quality Image-based Interactive Exploration of Real-World Environments. 24. 52–63.19 indexed citations
15.
Kang, Sing Bing, Matthew Uyttendaele, Simon Winder, & Richard Szeliski. (2003). High dynamic range video. 319–325.311 indexed citations
16.
Kang, Sing Bing, Matthew Uyttendaele, Simon Winder, & Rick Szeliski. (2003). High dynamic range video. ACM Transactions on Graphics. 22(3). 319–325.274 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.