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.
This map shows the geographic impact of John Shalf'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 John Shalf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Shalf more than expected).
This network shows the impact of papers produced by John Shalf. 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 John Shalf. The network helps show where John Shalf may publish in the future.
Co-authorship network of co-authors of John Shalf
This figure shows the co-authorship network connecting the top 25 collaborators of John Shalf.
A scholar is included among the top collaborators of John Shalf 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 John Shalf. John Shalf is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kamil, Shoaib, Cy Chan, Samuel Williams, et al.. (2009). A Generalized Framework for Auto-tuning Stencil Computations. University of North Texas Digital Library (University of North Texas).23 indexed citations
11.
Datta, Kaushik, Mark Murphy, В. М. Волков, et al.. (2008). Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures. IEEE International Conference on High Performance Computing, Data, and Analytics. 4.320 indexed citations breakdown →
12.
Kamil, Shoaib, Leonid Oliker, Ali Pınar, & John Shalf. (2007). Communication Requirements and Interconnect Optimization forHigh-End Scientific Applications. University of North Texas Digital Library (University of North Texas).3 indexed citations
Williams, Samuel, John Shalf, Leonid Oliker, Parry Husbands, & Katherine Yelick. (2005). Dense and Sparse Matrix Operations on the Cell Processor. University of North Texas Digital Library (University of North Texas).1 indexed citations
16.
Simon, Horst D., William Kramer, William Saphir, et al.. (2004). Science-driven system architecture: A new process for leadership class computing. eScholarship (California Digital Library).7 indexed citations
17.
Bondarescu, R., Gabrielle Allen, Michael Russell, et al.. (2003). The Astrophysics Simulation Collaboratory portal: A framework for effective distributed \nresearch. eScholarship (California Digital Library).13 indexed citations
18.
Kreylos, Oliver, Gunther H. Weber, E. Wes Bethel, et al.. (2002). Remote interactive direct volume rendering of AMR data. eScholarship (California Digital Library).8 indexed citations
19.
Shalf, John & E. Wes Bethel. (2002). How the Grid will affect the architecture of future visualization systems. IEEE Computer Graphics and Applications. 23(2). 46–48.1 indexed citations
20.
Weber, Gunther H., Oliver Kreylos, Terry J. Ligocki, et al.. (2001). High-quality Volume Rendering of Adaptive Mesh Refinement Data. eScholarship (California Digital Library). 121–128.24 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.