William McLendon

471 total citations
11 papers, 308 citations indexed

About

William McLendon is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, William McLendon has authored 11 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 3 papers in Signal Processing. Recurrent topics in William McLendon's work include Graph Theory and Algorithms (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Data Management and Algorithms (3 papers). William McLendon is often cited by papers focused on Graph Theory and Algorithms (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Data Management and Algorithms (3 papers). William McLendon collaborates with scholars based in United States and United Kingdom. William McLendon's co-authors include Bruce Hendrickson, Keith Henderson, Andrew S. Yoo, Edmond Chow, Ümit V. Çatalyürek, Steven J. Plimpton, Lawrence Rauchwerger, Douglas Gregor, Andrew Lumsdaine and Richard C. Murphy and has published in prestigious journals such as Journal of Parallel and Distributed Computing, Nuclear Science and Engineering and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

William McLendon

10 papers receiving 291 citations

Peers

William McLendon
Dominique LaSalle United States
Robert Heaphy United States
H. Schröder Germany
Todd Plantenga United States
Sihuan Li United States
Sain-Zee Ueng United States
Panruo Wu United States
Arch D. Robison United States
Yangzihao Wang United States
Riyadh Baghdadi United States
Dominique LaSalle United States
William McLendon
Citations per year, relative to William McLendon William McLendon (= 1×) peers Dominique LaSalle

Countries citing papers authored by William McLendon

Since Specialization
Citations

This map shows the geographic impact of William McLendon'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 William McLendon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William McLendon more than expected).

Fields of papers citing papers by William McLendon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William McLendon. 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 William McLendon. The network helps show where William McLendon may publish in the future.

Co-authorship network of co-authors of William McLendon

This figure shows the co-authorship network connecting the top 25 collaborators of William McLendon. A scholar is included among the top collaborators of William McLendon 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 William McLendon. William McLendon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
McLendon, William, et al.. (2014). Temporal Analysis and Change Detection via Geospatial-Temporal Semantic Graphs.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
2.
Brost, Randy C., et al.. (2014). A computational framework for ontologically storing and analyzing very large overhead image sets. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–10. 3 indexed citations
3.
McLendon, William, et al.. (2012). On the use of graph search techniques for the analysis of extreme-scale combustion simulation data. 13. 57–63. 3 indexed citations
4.
McLendon, William, et al.. (2010). Network algorithms for information analysis using the Titan Toolkit. 2528. 103–111. 1 indexed citations
5.
Berry, Jonathan W., Vitus J. Leung, William McLendon, & Kamesh Madduri. (2008). The MultiThreaded Graph Library (MTGL). OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
6.
Murphy, Richard C., et al.. (2006). DFS: A Simple to Write Yet Difficult to Execute Benchmark. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 175–177. 14 indexed citations
7.
McLendon, William, Bruce Hendrickson, Steven J. Plimpton, & Lawrence Rauchwerger. (2005). Finding strongly connected components in distributed graphs. Journal of Parallel and Distributed Computing. 65(8). 901–910. 48 indexed citations
8.
Yoo, Andrew S., Edmond Chow, Keith Henderson, et al.. (2005). A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 25–25. 175 indexed citations
9.
Plimpton, Steven J., et al.. (2005). ParallelSnSweeps on Unstructured Grids: Algorithms for Prioritization, Grid Partitioning, and Cycle Detection. Nuclear Science and Engineering. 150(3). 267–283. 35 indexed citations
10.
McLendon, William, Bruce Hendrickson, Steven J. Plimpton, & Lawrence Rauchwerger. (2001). Finding strongly connected components in parallel in particle transport sweeps. 328–329. 6 indexed citations
11.
Plimpton, Steven J., et al.. (2000). Parallel Algorithms for Radiation Transport on Unstructured Grids. 25–25. 21 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.

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