Thomas Huckle
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Computational Theory and Mathematics top 0.5%
- Matrix Theory and Algorithms
Papers in
-
- Matrix Theory and Algorithms 45
-
- Advanced Numerical Methods in Computational Mathematics 17
- Sparse and Compressive Sensing Techniques 5
- Co-authors
- Marcus J. Grote (2 shared papers)Lukas Krämer (2 shared papers)Hans‐Joachim Bungartz (2 shared papers)Bruno Lang (3 shared papers)R. Johanni (1 shared paper)Volker Blüm (1 shared paper)Hermann Lederer (1 shared paper)Thomas Schulte‐Herbrüggen (2 shared papers)
- Journals
- Parallel Computing (6 papers)Linear Algebra and its Applications (5 papers)BIT Numerical Mathematics (5 papers)SIAM Journal on Scientific Computing (4 papers)SIAM Journal on Matrix Analysis and Applications (4 papers)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Thomas Huckle
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Computational Mathematics 114
- Computational Theory and Mathematics 858
- Numerical Analysis 178
- Computational Mechanics 453
- Atomic and Molecular Physics, and Optics 632
Countries citing papers authored by Thomas Huckle
This map shows the geographic impact of Thomas Huckle'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 Thomas Huckle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Huckle more than expected).
Fields of papers citing papers by Thomas Huckle
This network shows the impact of papers produced by Thomas Huckle. 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 Thomas Huckle. The network helps show where Thomas Huckle may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Huckle, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 423 | |
| 2 | 2011 | 131 | |
| 3 | 1992 | 93 | |
| 4 | 1999 | 82 | |
| 5 | 2003 | 34 | |
| 6 | 1998 | 33 | |
| 7 | 2012 | 31 | |
| 8 | 2017 | 31 | |
| 9 | Multigrid Preconditioning and Toeplitz Matrices | 2002 | 27 |
| 10 | 1993 | 26 | |
| 11 | 1994 | 17 | |
| 12 | 2004 | 16 | |
| 13 | 2007 | 16 | |
| 14 | 1998 | 15 | |
| 15 | 2016 | 15 | |
| 16 | Effective Parallel Preconditioning with Sparse Approximate Inverses. | 1995 | 14 |
| 17 | 2012 | 14 | |
| 18 | 2008 | 14 | |
| 19 | 2010 | 14 | |
| 20 | 2011 | 12 |
About Thomas Huckle
Thomas Huckle is a scholar working on Computational Theory and Mathematics, Computational Mechanics, Atomic and Molecular Physics, and Optics, Numerical Analysis and Applied Mathematics, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (45 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Electromagnetic Scattering and Analysis (16 papers), Advanced Optimization Algorithms Research (10 papers), Numerical methods in inverse problems (5 papers), Tensor decomposition and applications (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Numerical methods for differential equations (5 papers). The work is most often cited by research in Computational Mathematics (114 citations), Computational Theory and Mathematics (858 citations), Numerical Analysis (178 citations), Computational Mechanics (453 citations) and Atomic and Molecular Physics, and Optics (632 citations). Thomas Huckle has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Marcus J. Grote, Lukas Krämer, Hans‐Joachim Bungartz, Bruno Lang, R. Johanni, Volker Blüm, Hermann Lederer, Thomas Schulte‐Herbrüggen, Hartwig Anzt and Jack Dongarra. Their work appears in journals such as Parallel Computing, Linear Algebra and its Applications, BIT Numerical Mathematics, SIAM Journal on Scientific Computing and SIAM Journal on Matrix Analysis and Applications.
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.