Mike Espig
Impact in
- Computational Mathematics top 0.5%
- Tensor decomposition and applications
-
- Matrix Theory and Algorithms
Papers in
-
- Tensor decomposition and applications 15
-
- Matrix Theory and Algorithms 7
- Co-authors
- Wolfgang Hackbusch (12 shared papers)Udo Benedikt (3 shared papers)Lars Grasedyck (1 shared paper)Alexander A. Auer (2 shared papers)Reinhold Schneider (2 shared papers)Heinz‐Jürgen Flad (2 shared papers)Boris N. Khoromskij (1 shared paper)Hermann G. Matthies (3 shared papers)
- Journals
- The Journal of Chemical Physics (3 papers)Numerische Mathematik (2 papers)Computing and Visualization in Science (2 papers)Constructive Approximation (1 paper)Molecular Physics (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Mike Espig
15 papers receiving 334 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 229
- Computational Theory and Mathematics 92
- Statistical and Nonlinear Physics 58
- Statistics, Probability and Uncertainty 33
- Spectroscopy 76
Countries citing papers authored by Mike Espig
This map shows the geographic impact of Mike Espig'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 Mike Espig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Espig more than expected).
Fields of papers citing papers by Mike Espig
This network shows the impact of papers produced by Mike Espig. 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 Mike Espig. The network helps show where Mike Espig may publish in the future.
Co-authors
The 20 scholars most cited alongside Mike Espig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 63 | |
| 2 | 2009 | 59 | |
| 3 | 2007 | 45 | |
| 4 | 2011 | 40 | |
| 5 | 2012 | 28 | |
| 6 | 2012 | 27 | |
| 7 | 2012 | 21 | |
| 8 | 2012 | 19 | |
| 9 | 2013 | 16 | |
| 10 | 2016 | 12 | |
| 11 | 2009 | 12 | |
| 12 | Tensor Decomposition in post-Hartree Fock Methods. | 2010 | 7 |
| 13 | 2020 | 6 | |
| 14 | 2010 | 6 | |
| 15 | 2012 | 1 | |
| 16 | A note on approximation in tensor chain format | 2012 | 1 |
About Mike Espig
Mike Espig is a scholar working on Computational Mathematics, Computational Theory and Mathematics, Spectroscopy, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 363 indexed citations. Recurring topics across this work include Tensor decomposition and applications (15 papers), Matrix Theory and Algorithms (7 papers), Advanced NMR Techniques and Applications (5 papers), Model Reduction and Neural Networks (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Probabilistic and Robust Engineering Design (2 papers), Algorithms and Data Compression (2 papers) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Computational Mathematics (229 citations), Computational Theory and Mathematics (92 citations), Statistical and Nonlinear Physics (58 citations), Statistics, Probability and Uncertainty (33 citations) and Spectroscopy (76 citations). Mike Espig has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Wolfgang Hackbusch, Udo Benedikt, Lars Grasedyck, Alexander A. Auer, Reinhold Schneider, Heinz‐Jürgen Flad, Boris N. Khoromskij, Hermann G. Matthies, Alexander Litvinenko and Thorsten Rohwedder. Their work appears in journals such as The Journal of Chemical Physics, Numerische Mathematik, Computing and Visualization in Science, Constructive Approximation and Molecular Physics.
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.