Kyle A. Gallivan

5.8k citations
147 papers · 3.6k · h-index 32

Impact in

Papers in

Kyle A. Gallivan

139 papers receiving 3.2k citations

Peers

Kyle A. Gallivan
Comparison fields: 5 of 114
  • Numerical Analysis 774
  • Hardware and Architecture 934
  • Computational Mathematics 71
  • Statistical and Nonlinear Physics 887
  • Computational Theory and Mathematics 721
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James R. Bunch United States
Albert Cohen France
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Citations per field
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Citations per year

Countries citing papers authored by Kyle A. Gallivan

Since Specialization
Citations

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

Fields of papers citing papers by Kyle A. Gallivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle A. Gallivan. 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 Kyle A. Gallivan. The network helps show where Kyle A. Gallivan may publish in the future.

Co-authors

The 25 scholars most cited alongside Kyle A. Gallivan, 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 Kyle A. Gallivan Line = papers co-authored together Kyle A. Gallivan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988282
2 2006278
3 2003196
4 1994155
5 1996151
6 2004126
7 2008120
8 1990118
9 2003112
10 2015107
11 198890
12 199981
13 200369
14 200467
15 198859
16 200655
17 200455
18 198955
19 201150
20 201249

About Kyle A. Gallivan

Kyle A. Gallivan is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Computational Mechanics, Statistical and Nonlinear Physics and Numerical Analysis, having authored 147 papers that have together received 3.6k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (40 papers), Matrix Theory and Algorithms (38 papers), Model Reduction and Neural Networks (20 papers), Embedded Systems Design Techniques (13 papers), Sparse and Compressive Sensing Techniques (12 papers), Advanced Optimization Algorithms Research (12 papers), Blind Source Separation Techniques (11 papers) and Advanced Data Storage Technologies (11 papers). The work is most often cited by research in Numerical Analysis (774 citations), Hardware and Architecture (934 citations), Computational Mathematics (71 citations), Statistical and Nonlinear Physics (887 citations) and Computational Theory and Mathematics (721 citations). Kyle A. Gallivan has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Paul Van Dooren, Pierre-Antoine Absil, William Jalby, Christopher G. Baker, Dennis Gannon, Wen Huang, Robert A. van Engelen, Antoine Vandendorpe, E. Grimme and Ahmed Sameh. Their work appears in journals such as Linear Algebra and its Applications, Applied Numerical Mathematics, Applied Mathematics Letters, SIAM Journal on Matrix Analysis and Applications and Journal of Scientific Computing.

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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