Heidi Thornquist

2.5k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Heidi Thornquist is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Heidi Thornquist has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hardware and Architecture, 7 papers in Computational Theory and Mathematics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Heidi Thornquist's work include Parallel Computing and Optimization Techniques (8 papers), Matrix Theory and Algorithms (7 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). Heidi Thornquist is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Matrix Theory and Algorithms (7 papers) and Advanced Numerical Methods in Computational Mathematics (3 papers). Heidi Thornquist collaborates with scholars based in United States, India and Canada. Heidi Thornquist's co-authors include Richard B. Lehoucq, Robert J. Hoekstra, Michael A. Heroux, Roscoe Bartlett, Andrew G. Salinger, Ray Tuminaro, James Willenbring, K.R. Long, Alan Williams and K. Stanley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and ACM Transactions on Mathematical Software.

In The Last Decade

Heidi Thornquist

15 papers receiving 982 citations

Hit Papers

An overview of the Trilinos project 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heidi Thornquist United States 10 419 269 228 209 196 17 1.0k
Eric Phipps United States 15 449 1.1× 326 1.2× 181 0.8× 191 0.9× 197 1.0× 43 1.2k
Roscoe Bartlett United States 12 377 0.9× 281 1.0× 172 0.8× 192 0.9× 74 0.4× 25 1.4k
Roger P. Pawlowski United States 22 835 2.0× 411 1.5× 208 0.9× 218 1.0× 136 0.7× 68 1.8k
Jonathan Joseph Hu United States 14 690 1.6× 415 1.5× 311 1.4× 266 1.3× 68 0.3× 31 1.3k
James Willenbring United States 5 302 0.7× 195 0.7× 160 0.7× 172 0.8× 47 0.2× 14 782
K. Stanley United States 7 309 0.7× 315 1.2× 433 1.9× 400 1.9× 61 0.3× 11 1.2k
James McKee United Kingdom 11 245 0.6× 463 1.7× 175 0.8× 200 1.0× 63 0.3× 32 1.2k
Luke N. Olson United States 20 469 1.1× 257 1.0× 301 1.3× 275 1.3× 68 0.3× 62 1.1k
Ray Tuminaro United States 15 984 2.3× 610 2.3× 269 1.2× 212 1.0× 113 0.6× 32 1.6k
Raymond S. Tuminaro United States 23 836 2.0× 511 1.9× 99 0.4× 72 0.3× 74 0.4× 59 1.2k

Countries citing papers authored by Heidi Thornquist

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Thornquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi Thornquist

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

All Works

17 of 17 papers shown
1.
Thornquist, Heidi, et al.. (2023). Combined CRC and Bit Framing for Enhanced Error Detection. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 52. 571–577.
2.
Morgan, Ronald B., et al.. (2022). Polynomial Preconditioning with the GMRES Polynomial.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
3.
Ellingwood, Nathan, et al.. (2017). Basker: Parallel sparse LU factorization utilizing hierarchical parallelism and data layouts. Parallel Computing. 68. 17–31. 7 indexed citations
4.
Rajamanickam, Sivasankaran, et al.. (2016). Basker: A Threaded Sparse LU Factorization Utilizing Hierarchical Parallelism and Data Layouts. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 673–682. 6 indexed citations
5.
Barrett, Richard Frederick, Paul Crozier, Douglas W. Doerfler, et al.. (2014). Assessing the role of mini-applications in predicting key performance characteristics of scientific and engineering applications. Journal of Parallel and Distributed Computing. 75. 107–122. 21 indexed citations
6.
Thornquist, Heidi, Eric Keiter, & Sivasankaran Rajamanickam. (2013). Electrical modeling and simulation for stockpile stewardship. XRDS Crossroads The ACM Magazine for Students. 19(3). 18–22. 1 indexed citations
7.
Hoemmen, Mark Frederick, et al.. (2012). Amesos2 and Belos: Direct and Iterative Solvers for Large Sparse Linear Systems. SHILAP Revista de lepidopterología. 12 indexed citations
8.
Report, Sandia, Richard Frederick Barrett, Paul Crozier, et al.. (2012). Summary of Work for ASC L2 Milestone 4465: Characterize the Role of the Mini-Application in Predicting Key Performance Characteristics of Real Applications. 9 indexed citations
9.
Hoemmen, Mark Frederick, et al.. (2012). Amesos2 and Belos: Direct and Iterative Solvers for Large Sparse Linear Systems. Scientific Programming. 20(3). 241–255. 62 indexed citations
10.
Cotilla‐Sanchez, Eduardo, et al.. (2011). Developing a dynamic model of cascading failure for high performance computing using trilinos. 25–34. 15 indexed citations
11.
Baker, Christopher G., Ulrich Hetmaniuk, Richard B. Lehoucq, & Heidi Thornquist. (2009). Anasazi software for the numerical solution of large-scale eigenvalue problems. ACM Transactions on Mathematical Software. 36(3). 1–23. 61 indexed citations
12.
Thornquist, Heidi, Eric Keiter, Robert J. Hoekstra, David Day, & Erik G. Boman. (2009). A parallel preconditioning strategy for efficient transistor-level circuit simulation. 410–417. 27 indexed citations
13.
Barone, Matthew, Irina Kalashnikova, Daniel J. Segalman, & Heidi Thornquist. (2008). Stable Galerkin reduced order models for linearized compressible flow. Journal of Computational Physics. 228(6). 1932–1946. 132 indexed citations
14.
Barone, Matthew, Daniel J. Segalman, Heidi Thornquist, & Irina Kalashnikova. (2008). Galerkin Reduced Order Models for Compressible Flow with Structural Interaction. 46th AIAA Aerospace Sciences Meeting and Exhibit. 17 indexed citations
15.
Report, Sandia, Roscoe Bartlett, Scott Collis, et al.. (2007). ASC Vertical Integration Milestone. 2 indexed citations
16.
Heroux, Michael A., Roscoe Bartlett, Robert J. Hoekstra, et al.. (2005). An overview of the Trilinos project. ACM Transactions on Mathematical Software. 31(3). 397–423. 671 indexed citations breakdown →
17.
Barrett, Chris, Achla Marathe, Madhav Marathe, et al.. (2003). Statistical Analysis of Algorithms: A Case Study of Market-Clearing Mechanisms in the Power Industry. Journal of Graph Algorithms and Applications. 7(1). 3–31. 6 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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