David Hysom

830 total citations
16 papers, 488 citations indexed

About

David Hysom is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, David Hysom has authored 16 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Hardware and Architecture and 4 papers in Computer Networks and Communications. Recurrent topics in David Hysom's work include Parallel Computing and Optimization Techniques (5 papers), Matrix Theory and Algorithms (5 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). David Hysom is often cited by papers focused on Parallel Computing and Optimization Techniques (5 papers), Matrix Theory and Algorithms (5 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). David Hysom collaborates with scholars based in United States and Ghana. David Hysom's co-authors include Alex Pothen, Shea N. Gardner, Andrew M. Wissink, Jonathan Allen, Greg Lloyd, Maya Gokhale, Sasha Ames, B Gunney, Richard D. Hornung and David Buttler and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

David Hysom

14 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hysom United States 11 148 119 114 82 50 16 488
Wei Ding China 14 35 0.2× 95 0.8× 37 0.3× 35 0.4× 16 0.3× 60 701
Fatih Erdoğan Sevilgen Türkiye 8 124 0.8× 44 0.4× 23 0.2× 43 0.5× 8 0.2× 26 304
Joshua Batson United States 10 23 0.2× 134 1.1× 70 0.6× 115 1.4× 12 0.2× 18 493
R. T. Evans United States 13 65 0.4× 20 0.2× 12 0.1× 19 0.2× 5 0.1× 37 738
S. Z. Rida Egypt 22 50 0.3× 33 0.3× 62 0.5× 85 1.0× 3 0.1× 72 1.2k
Xiaoshen Wang United States 20 121 0.8× 322 2.7× 514 4.5× 25 0.3× 26 0.5× 72 997
Markus Mayr Austria 9 32 0.2× 28 0.2× 74 0.6× 12 0.1× 26 0.5× 11 330
Xiaofang Wang China 11 37 0.3× 34 0.3× 9 0.1× 65 0.8× 6 0.1× 50 405
M. Higazy Egypt 17 25 0.2× 60 0.5× 12 0.1× 30 0.4× 3 0.1× 60 881
Yicheng Pang China 19 30 0.2× 46 0.4× 123 1.1× 138 1.7× 6 0.1× 58 1.1k

Countries citing papers authored by David Hysom

Since Specialization
Citations

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

Fields of papers citing papers by David Hysom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hysom

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

All Works

16 of 16 papers shown
1.
Jacobs, Sam Adé, Tim Moon, Kevin McLoughlin, et al.. (2021). Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. The International Journal of High Performance Computing Applications. 35(5). 469–482. 21 indexed citations
2.
Hysom, David. (2019). New Sequential and Scalable Parallel Algorithms for Incomplete Factor Preconditioning. ODU Digital Commons (Old Dominion University).
3.
Liu, Shusen, Jim Gaffney, Peter Robinson, et al.. (2019). Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Transactions on Visualization and Computer Graphics. 26(1). 291–300. 6 indexed citations
4.
Ames, Sasha, Jonathan Allen, David Hysom, Greg Lloyd, & Maya Gokhale. (2014). Design and Optimization of a Metagenomics Analysis Workflow for NVRAM. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 556–565. 3 indexed citations
5.
Gardner, Shea N., Crystal Jaing, Maher Elsheikh, et al.. (2014). Multiplex Degenerate Primer Design for Targeted Whole Genome Amplification of Many Viral Genomes. PubMed. 2014. 1–8. 10 indexed citations
6.
Ames, Sasha, David Hysom, Shea N. Gardner, et al.. (2013). Scalable metagenomic taxonomy classification using a reference genome database. Bioinformatics. 29(18). 2253–2260. 132 indexed citations
7.
Hysom, David, et al.. (2012). Skip the Alignment: Degenerate, Multiplex Primer and Probe Design Using K-mer Matching Instead of Alignments. PLoS ONE. 7(4). e34560–e34560. 28 indexed citations
8.
Stoyanov, Veselin, Claire Cardie, Nathan Gilbert, et al.. (2010). Coreference Resolution with Reconcile. Meeting of the Association for Computational Linguistics. 156–161. 62 indexed citations
9.
Symons, Christopher T., Nagiza F. Samatova, Byung Park, et al.. (2006). Multi-Criterion Active Learning in Conditional Random Fields. 12 indexed citations
10.
Gunney, B, Andrew M. Wissink, & David Hysom. (2006). Parallel clustering algorithms for structured AMR. Journal of Parallel and Distributed Computing. 66(11). 1419–1430. 42 indexed citations
11.
Wissink, Andrew M., David Hysom, & Richard D. Hornung. (2003). Enhancing scalability of parallel structured AMR calculations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 336–347. 41 indexed citations
12.
Wissink, Andrew M., David Hysom, & Richard D. Hornung. (2003). Enhancing scalability of parallel structured AMR calculations. 2 indexed citations
13.
Hysom, David & Alex Pothen. (2002). Level-based Incomplete LU Factorization: Graph Model and Algorithms. 12 indexed citations
14.
Hysom, David & Alex Pothen. (2001). A Scalable Parallel Algorithm for Incomplete Factor Preconditioning. SIAM Journal on Scientific Computing. 22(6). 2194–2215. 101 indexed citations
15.
Hysom, David & Alex Pothen. (2000). Parallel ILU Ordering and Convergence Relationships: Numerical Experiments. Defense Technical Information Center (DTIC). 90(1). 74–84. 1 indexed citations
16.
Hysom, David & Alex Pothen. (1999). Efficient parallel computation of ILU(k) preconditioners. 29–29. 15 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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