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.
Nonlinear total variation based noise removal algorithms
This map shows the geographic impact of Stanley Osher'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 Stanley Osher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley Osher more than expected).
This network shows the impact of papers produced by Stanley Osher. 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 Stanley Osher. The network helps show where Stanley Osher may publish in the future.
Co-authorship network of co-authors of Stanley Osher
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley Osher.
A scholar is included among the top collaborators of Stanley Osher 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 Stanley Osher. Stanley Osher is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Fung, Samy Wu, et al.. (2021). Fixed Point Networks: Implicit Depth Models with Jacobian-Free Backprop.. arXiv (Cornell University).8 indexed citations
10.
Wang, Bao, et al.. (2019). DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM. arXiv (Cornell University). 328–351.1 indexed citations
11.
Wang, Bao, et al.. (2018). Deep Neural Nets with Interpolating Function as Output Activation. Rare & Special e-Zone (The Hong Kong University of Science and Technology).4 indexed citations
Gilboa, Guy & Stanley Osher. (2007). Nonlocal evolutions for image regularization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6498. 64980U–64980U.21 indexed citations
16.
Osher, Stanley, et al.. (2004). Using Geometry And Iterated Refinement For Inverse Problems (1): Total Variation Based Image Restoration.7 indexed citations
17.
Tsai, Richard Tzong‐Han & Stanley Osher. (2003). REVIEW ARTICLE: Level Set Methods and Their Applications in Image Science. Communications in Mathematical Sciences. 1(4). 1–20.32 indexed citations
18.
Shu, Chi‐Wang & Stanley Osher. (1988). Efficient implementation of essentially non-oscillatory shock-capturing schemes. Journal of Computational Physics. 77(2). 439–471.3598 indexed citations breakdown →
19.
Osher, Stanley & Chi‐Wang Shu. (1988). Essentially non-oscillatory shock capturing methods applied to turbulence amplification in shock wave calculations. STIN. 89. 13732.1 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.