William Blume

1.0k citations
13 papers · 825 · h-index 11

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

William Blume

13 papers receiving 755 citations

Peers

William Blume
Comparison fields: 5 of 35
  • Hardware and Architecture 723
  • Software 118
  • Computer Networks and Communications 484
  • Computational Theory and Mathematics 135
  • Artificial Intelligence 228
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Citations per field
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Citations per year

Countries citing papers authored by William Blume

Since Specialization
Citations

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

Fields of papers citing papers by William Blume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside William Blume, 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 Blume Line = papers co-authored together William Blume links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1996277
2 1992102
3 199484
4 199567
5 199464
6 200244
7 199842
8 199641
9
Advanced Program Restructuring for High-Performance Computers with Polaris
200037
10
Symbolic analysis techniques for effective automatic parallelization
199531
11
An Effectiveness Study of Parallelizing Compiler Techniques.
199127
12 20025
13 19944

About William Blume

William Blume is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 13 papers that have together received 825 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Formal Methods in Verification (4 papers), Advanced Data Storage Technologies (4 papers), Logic, programming, and type systems (4 papers), Distributed and Parallel Computing Systems (3 papers), Embedded Systems Design Techniques (3 papers), Simulation Techniques and Applications (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (723 citations), Software (118 citations), Computer Networks and Communications (484 citations), Computational Theory and Mathematics (135 citations) and Artificial Intelligence (228 citations). William Blume has collaborated with scholars based in United States and Spain. Frequent co-authors include Rudolf Eigenmann, Jay Hoeflinger, Ramón Doallo, Lawrence Rauchwerger, Paul Petersen, David Padua, Peng Tu, William M. Pottenger, David Padua and Jaejin Lee. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computer, Lecture notes in computer science, Proceedings of the International Conference on Parallel Processing and Conference on High Performance Computing (Supercomputing).

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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