Jonathan Hogg

561 total citations
24 papers, 244 citations indexed

About

Jonathan Hogg is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Numerical Analysis. According to data from OpenAlex, Jonathan Hogg has authored 24 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computational Theory and Mathematics, 9 papers in Hardware and Architecture and 6 papers in Numerical Analysis. Recurrent topics in Jonathan Hogg's work include Matrix Theory and Algorithms (18 papers), Parallel Computing and Optimization Techniques (9 papers) and Numerical Methods and Algorithms (7 papers). Jonathan Hogg is often cited by papers focused on Matrix Theory and Algorithms (18 papers), Parallel Computing and Optimization Techniques (9 papers) and Numerical Methods and Algorithms (7 papers). Jonathan Hogg collaborates with scholars based in United Kingdom, United States and Norway. Jonathan Hogg's co-authors include J. A. Scott, John Reid, Evgueni Ovtchinnikov, Iain Duff, Ang Li, Brian Vinter, Jacek Gondzio, Andreas Grothey, Kristian Woodsend and Marco Colombo and has published in prestigious journals such as Neurology, SIAM Journal on Scientific Computing and ACM Transactions on Mathematical Software.

In The Last Decade

Jonathan Hogg

22 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Hogg United Kingdom	8	161	94	62	52	52	24	244
Moritz Kreutzer Germany	8	110 0.7×	171 1.8×	23 0.4×	127 2.4×	35 0.7×	14	270
Violeta Migallón Spain	11	226 1.4×	34 0.4×	169 2.7×	30 0.6×	53 1.0×	35	328
Mawussi Zounon United Kingdom	8	86 0.5×	108 1.1×	12 0.2×	76 1.5×	22 0.4×	14	207
José Penadés Spain	12	246 1.5×	34 0.4×	185 3.0×	30 0.6×	58 1.1×	36	348
Goran Flegar Spain	10	137 0.9×	134 1.4×	9 0.1×	86 1.7×	48 0.9×	21	253
Padma Raghavan United States	10	91 0.6×	148 1.6×	21 0.3×	195 3.8×	39 0.8×	24	336
Jackson R. Mayo United States	8	119 0.7×	35 0.4×	42 0.7×	32 0.6×	72 1.4×	21	305
Eric F. Van de Velde United States	8	59 0.4×	86 0.9×	32 0.5×	90 1.7×	59 1.1×	13	221
Nick Vannieuwenhoven Belgium	10	133 0.8×	38 0.4×	30 0.5×	17 0.3×	129 2.5×	30	381
Tingxing Dong United States	10	103 0.6×	169 1.8×	6 0.1×	120 2.3×	28 0.5×	19	286

Countries citing papers authored by Jonathan Hogg

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Hogg

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

All Works

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20 of 20 papers shown

Duff, Iain, et al.. (2020). A New Sparse $LDL^T$ Solver Using A Posteriori Threshold Pivoting. SIAM Journal on Scientific Computing. 42(2). C23–C42. 7 indexed citations

Pestana, Jennifer, et al.. (2019). Max-Balanced Hungarian Scalings. SIAM Journal on Matrix Analysis and Applications. 40(1). 320–346. 3 indexed citations

Duff, Iain, et al.. (2018). Experiments with sparse Cholesky using a sequential task-flow implementation. Science and Technology Facilities Council. 2 indexed citations

Duff, I. S., et al.. (2018). A new sparse symmetric indefinite solver using a posteriori threshold pivoting. Science and Technology Facilities Council. 3 indexed citations

Scott, J. A., et al.. (2018). A Max-Plus Approach to Incomplete Cholesky Factorization Preconditioners. SIAM Journal on Scientific Computing. 40(4). A1987–A2004. 3 indexed citations

Dongarra, Jack, Iain Duff, Mark Gates, et al.. (2018). Batched BLAS (Basic Linear Algebra Subprograms) 2018 Specification. 2 indexed citations

Ashcraft, Cleve, et al.. (2016). Nested dissection revisited. Science and Technology Facilities Council.

Hogg, Jonathan. (2016). A new sparse LDLT solver using A Posteriori Threshold Pivoting. Science and Technology Facilities Council.

Hogg, Jonathan, Evgueni Ovtchinnikov, & J. A. Scott. (2016). A Sparse Symmetric Indefinite Direct Solver for GPU Architectures. ACM Transactions on Mathematical Software. 42(1). 1–25. 34 indexed citations

10.

Hogg, Jonathan & J. A. Scott. (2014). Compressed Threshold Pivoting for Sparse Symmetric Indefinite Systems. SIAM Journal on Matrix Analysis and Applications. 35(2). 783–817. 2 indexed citations

11.

Hogg, Jonathan & J. A. Scott. (2013). New Parallel Sparse Direct Solvers for Multicore Architectures. Algorithms. 6(4). 702–725. 19 indexed citations

12.

Hogg, Jonathan & J. A. Scott. (2013). Pivoting strategies for tough sparse indefinite systems. ACM Transactions on Mathematical Software. 40(1). 1–19. 20 indexed citations

13.

Hogg, Jonathan & J. A. Scott. (2013). Optimal Weighted Matchings for Rank-Deficient Sparse Matrices. SIAM Journal on Matrix Analysis and Applications. 34(4). 1431–1447. 5 indexed citations

14.

Hogg, Jonathan & J. A. Scott. (2012). An efficient analyse phase for element problems. Numerical Linear Algebra with Applications. 20(3). 397–412. 2 indexed citations

15.

Gutmann, Ludwig, et al.. (2012). Spontaneous Occlusion of Arteriovenous Malformation (P05.271). Neurology. 78(Meeting Abstracts 1). P05.271–P05.271. 1 indexed citations

16.

Hogg, Jonathan, et al.. (2012). New parallel sparse direct solvers for engineering applications. 2 indexed citations

17.

Hogg, Jonathan & J. A. Scott. (2010). A fast and robust mixed-precision solver for the solution of sparse symmetric linear systems. ACM Transactions on Mathematical Software. 37(2). 1–24. 19 indexed citations

18.

Hogg, Jonathan, John Reid, & J. A. Scott. (2010). Design of a Multicore Sparse Cholesky Factorization Using DAGs. SIAM Journal on Scientific Computing. 32(6). 3627–3649. 47 indexed citations

19.

Colombo, Marco, Andreas Grothey, Jonathan Hogg, Kristian Woodsend, & Jacek Gondzio. (2009). A structure-conveying modelling language for mathematical and stochastic programming. Mathematical Programming Computation. 1(4). 223–247. 14 indexed citations

20.

Hogg, Jonathan. (2008). A DAG-based parallel Cholesky factorization for multicore systems. Science and Technology Facilities Council. 10 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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