William Blume

1.0k total citations
11 papers, 572 citations indexed

About

William Blume is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, William Blume has authored 11 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hardware and Architecture, 5 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in William Blume's work include Parallel Computing and Optimization Techniques (11 papers), Logic, programming, and type systems (4 papers) and Distributed and Parallel Computing Systems (3 papers). William Blume is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Logic, programming, and type systems (4 papers) and Distributed and Parallel Computing Systems (3 papers). William Blume collaborates with scholars based in United States and Spain. William Blume's co-authors include Rudolf Eigenmann, Jay Hoeflinger, Ramón Doallo, David Padua, Lawrence Rauchwerger, Paul Petersen, Yunheung Paek, Jaejin Lee and Peng Tu and has published in prestigious journals such as Computer, IEEE Transactions on Parallel and Distributed Systems and Conference on High Performance Computing (Supercomputing).

In The Last Decade

William Blume

11 papers receiving 508 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Blume United States 9 507 357 137 81 80 11 572
Seema Hiranandani United States 12 677 1.3× 640 1.8× 102 0.7× 77 1.0× 53 0.7× 22 753
Cédric Bastoul France 9 436 0.9× 307 0.9× 107 0.8× 78 1.0× 58 0.7× 18 496
Joshua Auerbach United States 13 413 0.8× 546 1.5× 110 0.8× 129 1.6× 31 0.4× 45 738
Grant Haab United States 6 617 1.2× 393 1.1× 98 0.7× 69 0.9× 37 0.5× 7 661
Massimiliano Poletto United States 5 296 0.6× 150 0.4× 200 1.5× 63 0.8× 51 0.6× 6 386
Jesung Kim South Korea 10 382 0.8× 727 2.0× 111 0.8× 93 1.1× 129 1.6× 17 816
John G. Holm United States 6 659 1.3× 435 1.2× 109 0.8× 84 1.0× 28 0.3× 8 722
P.M.W. Knijnenburg Netherlands 17 708 1.4× 428 1.2× 179 1.3× 170 2.1× 69 0.9× 35 763
Jade Alglave United Kingdom 12 519 1.0× 470 1.3× 262 1.9× 45 0.6× 79 1.0× 23 637
Mahadevan Ganapathi United States 11 371 0.7× 128 0.4× 288 2.1× 86 1.1× 89 1.1× 25 525

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-authorship network of co-authors of William Blume

This figure shows the co-authorship network connecting the top 25 collaborators of William Blume. A scholar is included among the top collaborators of William Blume 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 Blume. William Blume 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.
Blume, William & Rudolf Eigenmann. (2002). The range test: a dependence test for symbolic, non-linear expressions. 528–537. 5 indexed citations
2.
Blume, William & Rudolf Eigenmann. (2002). Symbolic range propagation. 357–363. 35 indexed citations
3.
Blume, William, Ramón Doallo, Rudolf Eigenmann, et al.. (2000). Advanced Program Restructuring for High-Performance Computers with Polaris. 29 indexed citations
4.
Blume, William & Rudolf Eigenmann. (1998). Nonlinear and symbolic data dependence testing. IEEE Transactions on Parallel and Distributed Systems. 9(12). 1180–1194. 35 indexed citations
5.
Blume, William, et al.. (1996). Parallel programming with Polaris. Computer. 29(12). 78–82. 217 indexed citations
6.
Eigenmann, Rudolf & William Blume. (1995). Symbolic analysis techniques for effective automatic parallelization. 23 indexed citations
7.
Blume, William & Rudolf Eigenmann. (1994). The range test: a dependence test for symbolic, non-linear expressions. Conference on High Performance Computing (Supercomputing). 528–537. 68 indexed citations
8.
Blume, William, Rudolf Eigenmann, Jay Hoeflinger, et al.. (1994). Automatic Detection of Parallelism: A grand challenge for high performance computing. 2(3). 37–37. 52 indexed citations
9.
Blume, William & Rudolf Eigenmann. (1994). The range test. 2 indexed citations
10.
Blume, William & Rudolf Eigenmann. (1992). Performance analysis pf parallelizing compilers on the Perfect Benchmarks programs. IEEE Transactions on Parallel and Distributed Systems. 3(6). 643–656. 82 indexed citations
11.
Eigenmann, Rudolf & William Blume. (1991). An Effectiveness Study of Parallelizing Compiler Techniques.. Proceedings of the International Conference on Parallel Processing. 17–25. 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.

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