William McLendon

475 citations
10 papers · 344 · h-index 6

Impact in

Papers in

William McLendon

9 papers receiving 326 citations

Peers

William McLendon
Comparison fields: 5 of 42
  • Hardware and Architecture 103
  • Computer Vision and Pattern Recognition 183
  • Computer Networks and Communications 166
  • Computational Mathematics 3
  • Statistical and Nonlinear Physics 48
Replace Virat Agarwal with:
Virat Agarwal United States
Dominique LaSalle United States
Yangzihao Wang United States
S. Rao United States
Robert Heaphy United States
Ding United States
Helmar Burkhart Switzerland
José M. Badía Spain
Pietro Nannipieri Italy
Sihuan Li United States
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Citations per field
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Citations per year

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-authors

The 20 scholars most cited alongside William McLendon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William McLendon Line = papers co-authored together William McLendon links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2005193
2 200563
3 200536
4 200022
5 200614
6 20018
7 20123
8 20143
9 20101
10
Temporal Analysis and Change Detection via Geospatial-Temporal Semantic Graphs.
20141

About William McLendon

William McLendon is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Graph Theory and Algorithms (3 papers), Data Management and Algorithms (3 papers), Advanced Database Systems and Queries (2 papers), Data Visualization and Analytics (2 papers), Complex Network Analysis Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers) and Graphite, nuclear technology, radiation studies (2 papers). The work is most often cited by research in Hardware and Architecture (103 citations), Computer Vision and Pattern Recognition (183 citations), Computer Networks and Communications (166 citations), Computational Mathematics (3 citations) and Statistical and Nonlinear Physics (48 citations). William McLendon has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bruce Hendrickson, Edmond Chow, Keith Henderson, Andrew S. Yoo, Ümit V. Çatalyürek, Steven J. Plimpton, Lawrence Rauchwerger, Richard C. Murphy, Douglas Gregor and Andrew Lumsdaine. Their work appears in journals such as Nuclear Science and Engineering, Journal of Parallel and Distributed Computing, University of North Texas Digital Library (University of North Texas) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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