Cleve Ashcraft

1.4k total citations
21 papers, 724 citations indexed

About

Cleve Ashcraft is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Cleve Ashcraft has authored 21 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 7 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Cleve Ashcraft's work include Matrix Theory and Algorithms (8 papers), VLSI and FPGA Design Techniques (6 papers) and Interconnection Networks and Systems (6 papers). Cleve Ashcraft is often cited by papers focused on Matrix Theory and Algorithms (8 papers), VLSI and FPGA Design Techniques (6 papers) and Interconnection Networks and Systems (6 papers). Cleve Ashcraft collaborates with scholars based in United States, Australia and Canada. Cleve Ashcraft's co-authors include Roger G. Grimes, Joseph W. H. Liu, John G. Lewis, Barry W. Peyton, Horst D. Simon, Petter E. Bjørstad, Stanley C. Eisenstat, Anita M. Weiner, Stephen J. Harris and J. Imbert and has published in prestigious journals such as Combustion and Flame, SIAM Journal on Scientific Computing and ACM Transactions on Mathematical Software.

In The Last Decade

Cleve Ashcraft

19 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cleve Ashcraft United States 12 380 174 170 170 154 21 724
William G. Poole United States 9 333 0.9× 75 0.4× 126 0.7× 222 1.3× 158 1.0× 12 759
Zeyao Mo China 14 129 0.3× 140 0.8× 153 0.9× 64 0.4× 148 1.0× 73 625
Wayne Joubert United States 15 337 0.9× 117 0.7× 117 0.7× 60 0.4× 173 1.1× 50 633
Veselin Dobrev United States 15 188 0.5× 124 0.7× 79 0.5× 128 0.8× 697 4.5× 29 1.0k
Paul K. Stockmeyer United States 10 334 0.9× 53 0.3× 117 0.7× 189 1.1× 121 0.8× 25 708
Andrew Cleary United States 8 274 0.7× 262 1.5× 243 1.4× 111 0.7× 277 1.8× 14 703
G.A. Geist United States 17 192 0.5× 533 3.1× 667 3.9× 192 1.1× 190 1.2× 46 1.2k
Petter E. Bjørstad Norway 15 437 1.1× 88 0.5× 84 0.5× 189 1.1× 540 3.5× 24 908
William F. Mitchell United States 15 254 0.7× 48 0.3× 71 0.4× 186 1.1× 590 3.8× 36 939
Matthias Bollhöfer Germany 15 344 0.9× 74 0.4× 31 0.2× 187 1.1× 248 1.6× 44 800

Countries citing papers authored by Cleve Ashcraft

Since Specialization
Citations

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

Fields of papers citing papers by Cleve Ashcraft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cleve Ashcraft

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

All Works

20 of 20 papers shown
1.
Ashcraft, Cleve, Alfredo Buttari, & Théo Mary. (2021). Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR$^2$ Format. SIAM Journal on Matrix Analysis and Applications. 42(2). 990–1010. 3 indexed citations
2.
Ashcraft, Cleve, Roger G. Grimes, Erman Guleryuz, et al.. (2019). Running Jet Engine Models on Thousands of Processors with LS-DYNA Implicit.
3.
Ashcraft, Cleve, et al.. (2016). Nested dissection revisited. Science and Technology Facilities Council.
4.
Ashcraft, Cleve, et al.. (2016). Using low-rank approximation techniques for engineering problems.. 1 indexed citations
5.
Amestoy, Patrick, et al.. (2011). Grouping variables in Frontal Matrices to improve Low-Rank Approximations in a Multifrontal Solver. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
6.
Ashcraft, Cleve, et al.. (2010). An MPP version of the Electromagnetism module in LS-DYNA for 3D Coupled Mechanical-Thermal-Electromagnetic simulations. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 7 indexed citations
7.
L’Eplattenier, P., et al.. (2009). Introduction of an Electromagnetism Module in LS-DYNA for Coupled Mechanical-Thermal-Electromagnetic Simulations. steel research international. 80(5). 351–358. 82 indexed citations
8.
Ashcraft, Cleve & Roger G. Grimes. (1999). SPOOLES: An Object-Oriented Sparse Matrix Library.. PPSC. 68 indexed citations
9.
Ashcraft, Cleve & Joseph W. H. Liu. (1998). Applications of the Dulmage--Mendelsohn Decomposition and Network Flow to Graph Bisection Improvement. SIAM Journal on Matrix Analysis and Applications. 19(2). 325–354. 12 indexed citations
10.
Ashcraft, Cleve, Roger G. Grimes, & John G. Lewis. (1998). Accurate Symmetric Indefinite Linear Equation Solvers. SIAM Journal on Matrix Analysis and Applications. 20(2). 513–561. 90 indexed citations
11.
Ashcraft, Cleve & Joseph W. H. Liu. (1998). Robust Ordering of Sparse Matrices using Multisection. SIAM Journal on Matrix Analysis and Applications. 19(3). 816–832. 44 indexed citations
12.
Ashcraft, Cleve & Joseph W. H. Liu. (1997). Using domain decomposition to find graph bisectors. BIT Numerical Mathematics. 37(3). 506–534. 16 indexed citations
13.
Ashcraft, Cleve. (1995). Compressed Graphs and the Minimum Degree Algorithm. SIAM Journal on Scientific Computing. 16(6). 1404–1411. 39 indexed citations
14.
Ashcraft, Cleve, et al.. (1990). A compute-ahead implementation of the fan-in sparse distributed factorization scheme. University of North Texas Digital Library (University of North Texas). 10 indexed citations
15.
Ashcraft, Cleve, Stanley C. Eisenstat, & Joseph W. H. Liu. (1990). A Fan-In Algorithm for Distributed Sparse Numerical Factorization. SIAM Journal on Scientific and Statistical Computing. 11(3). 593–599. 44 indexed citations
16.
Ashcraft, Cleve, et al.. (1989). Comparisons of Three Distributed Algorithms for Sparse Cholesky Factorization. 55–56. 4 indexed citations
17.
Ashcraft, Cleve & Roger G. Grimes. (1989). The influence of relaxed supernode partitions on the multifrontal method. ACM Transactions on Mathematical Software. 15(4). 291–309. 76 indexed citations
18.
Ashcraft, Cleve & Roger G. Grimes. (1988). On Vectorizing Incomplete Factorization and SSOR Preconditioners. SIAM Journal on Scientific and Statistical Computing. 9(1). 122–151. 70 indexed citations
19.
Ashcraft, Cleve, Roger G. Grimes, John G. Lewis, et al.. (1987). Progress in Sparse Matrix Methods for Large Linear Systems On Vector Supercomputers. 1(4). 10–30. 106 indexed citations
20.
Harris, Stephen J., Anita M. Weiner, & Cleve Ashcraft. (1986). Soot particle inception kinetics in a premixed ethylene flame. Combustion and Flame. 64(1). 65–81. 50 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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