Lars Eldén
- Computational Mathematics top 0.2%
- Tensor decomposition and applications 12
- Mathematical Physics top 0.5%
- Numerical methods in inverse problems 29
- Numerical Analysis top 2%
- Computational Theory and Mathematics top 0.5%
- Matrix Theory and Algorithms 24
- Advanced Mathematical Modeling in Engineering 9
- Applied Mathematics top 2%
- Statistical and numerical algorithms 17
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- Electromagnetic Scattering and Analysis 9
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- Image and Signal Denoising Methods 8
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- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Berkant SavasFredrik BerntssonTeresa RegińskaHaesun ParkValeria SimonciniThomas I. SeidmanXiaoli FengPatricia K. Lamm
- Journals
- BIT Numerical Mathematics (9 papers)Inverse Problems (9 papers)SIAM Journal on Matrix Analysis and Applications (8 papers)
- Partner nations
- SwedenUnited StatesIran
In The Last Decade
Lars Eldén
72 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Computational Mathematics 303
- Mathematical Physics 939
- Numerical Analysis 334
- Computational Theory and Mathematics 832
- Applied Mathematics 344
Countries citing papers authored by Lars Eldén
This map shows the geographic impact of Lars Eldén'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 Lars Eldén with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Eldén more than expected).
Fields of papers citing papers by Lars Eldén
This network shows the impact of papers produced by Lars Eldén. 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 Lars Eldén. The network helps show where Lars Eldén may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lars Eldén, 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 | 2022 | 1 | |
| 2 | 2022 | 2 | |
| 3 | 2019 | 4 | |
| 4 | 2018 | 3 | |
| 5 | 2018 | 1 | |
| 6 | 2011 | 22 | |
| 7 | 2011 | 25 | |
| 8 | Computing Word Senses by Semantic Mirroring and Spectral Graph Partitioning | 2010 | 2 |
| 9 | Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms) | 2007 | 20 |
| 10 | 2007 | 215 | |
| 11 | 2005 | 5 | |
| 12 | Introduction to Numerical Computation | 2004 | 3 |
| 13 | 2002 | 26 | |
| 14 | 2002 | 10 | |
| 15 | 1996 | 9 | |
| 16 | 1994 | 42 | |
| 17 | 1994 | 24 | |
| 18 | 1988 | 30 | |
| 19 | 1987 | 61 | |
| 20 | 1984 | 15 |
About Lars Eldén
Lars Eldén is a scholar working on Computational Mathematics, Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics and Numerical Analysis, having authored 77 papers that have together received 2.4k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (29 papers), Matrix Theory and Algorithms (24 papers), Statistical and numerical algorithms (17 papers), Tensor decomposition and applications (12 papers), Advanced Mathematical Modeling in Engineering (9 papers), Electromagnetic Scattering and Analysis (9 papers), Image and Signal Denoising Methods (8 papers) and Sparse and Compressive Sensing Techniques (7 papers). The work is most often cited by research in Computational Mathematics (303 citations), Mathematical Physics (939 citations), Numerical Analysis (334 citations), Computational Theory and Mathematics (832 citations) and Applied Mathematics (344 citations). Lars Eldén has collaborated with scholars based in Sweden, United States and Iran. Frequent co-authors include Berkant Savas, Fredrik Berntsson, Teresa Regińska, Haesun Park, Valeria Simoncini, Thomas I. Seidman, Xiaoli Feng, Patricia K. Lamm, Åke Björck and Rasmus Bro. Their work appears in journals such as BIT Numerical Mathematics, Inverse Problems, SIAM Journal on Matrix Analysis and Applications, Numerical Linear Algebra with Applications and Mathematics of Computation.
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.