Jonathan Hogg
Impact in
- Computational Mathematics top 10%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
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- Matrix Theory and Algorithms 18
- Numerical Methods and Algorithms 7
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- Parallel Computing and Optimization Techniques 9
- Co-authors
- J. A. Scott (11 shared papers)John Reid (2 shared papers)Evgueni Ovtchinnikov (1 shared paper)Iain Duff (4 shared papers)Brian Vinter (1 shared paper)Ang Li (1 shared paper)Andreas Grothey (1 shared paper)Kristian Woodsend (1 shared paper)
- Journals
- SIAM Journal on Scientific Computing (4 papers)SIAM Journal on Matrix Analysis and Applications (3 papers)ACM Transactions on Mathematical Software (3 papers)Numerical Linear Algebra with Applications (2 papers)Neurology (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Jonathan Hogg
22 papers receiving 229 citations
Peers
Comparison fields: 5 of 55
- Computational Mathematics 16
- Hardware and Architecture 95
- Numerical Analysis 62
- Computational Theory and Mathematics 162
- Computational Mechanics 52
Countries citing papers authored by Jonathan Hogg
This map shows the geographic impact of Jonathan Hogg'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 Jonathan Hogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Hogg more than expected).
Fields of papers citing papers by Jonathan Hogg
This network shows the impact of papers produced by Jonathan Hogg. 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 Jonathan Hogg. The network helps show where Jonathan Hogg may publish in the future.
Co-authors
The 24 scholars most cited alongside Jonathan Hogg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 47 | |
| 2 | 2017 | 36 | |
| 3 | 2016 | 34 | |
| 4 | 2013 | 20 | |
| 5 | 2010 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2009 | 14 | |
| 8 | 2008 | 10 | |
| 9 | 2020 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2013 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2018 | 2 | |
| 18 | 2012 | 2 | |
| 19 | Batched BLAS (Basic Linear Algebra Subprograms) 2018 Specification | 2018 | 2 |
| 20 | 2014 | 2 |
About Jonathan Hogg
Jonathan Hogg is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Numerical Analysis, Artificial Intelligence and Computer Networks and Communications, having authored 24 papers that have together received 245 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (18 papers), Parallel Computing and Optimization Techniques (9 papers), Numerical Methods and Algorithms (7 papers), Advanced Optimization Algorithms Research (6 papers), Electromagnetic Scattering and Analysis (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Image and Signal Denoising Methods (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Hardware and Architecture (95 citations), Numerical Analysis (62 citations), Computational Theory and Mathematics (162 citations) and Computational Mechanics (52 citations). Jonathan Hogg has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include J. A. Scott, John Reid, Evgueni Ovtchinnikov, Iain Duff, Brian Vinter, Ang Li, Andreas Grothey, Kristian Woodsend, Jacek Gondzio and Marco Colombo. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Journal on Matrix Analysis and Applications, ACM Transactions on Mathematical Software, Numerical Linear Algebra with Applications and Neurology.
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.