Lars Eldén
Impact in
- Computational Mathematics top 0.2%
- Tensor decomposition and applications
- Mathematical Physics top 0.5%
- Numerical methods in inverse problems
Papers in
-
- Numerical methods in inverse problems 35
-
- Matrix Theory and Algorithms 23
- Advanced Mathematical Modeling in Engineering 11
- Co-authors
- Berkant Savas (5 shared papers)Fredrik Berntsson (7 shared papers)Teresa Regińska (3 shared papers)Haesun Park (7 shared papers)Valeria Simoncini (3 shared papers)Thomas I. Seidman (1 shared paper)Xiaoli Feng (3 shared papers)Patricia K. Lamm (1 shared paper)
- Journals
- Inverse Problems (9 papers)BIT Numerical Mathematics (9 papers)SIAM Journal on Matrix Analysis and Applications (8 papers)Mathematics of Computation (4 papers)Numerical Linear Algebra with Applications (4 papers)
- Partner nations
- SwedenUnited StatesIran
In The Last Decade
Lars Eldén
78 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 117
- Computational Mathematics 351
- Mathematical Physics 1.0k
- Numerical Analysis 371
- Computational Theory and Mathematics 913
- Applied Mathematics 400
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-authors
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
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1977 | 243 | |
| 2 | 2007 | 240 | |
| 3 | 2000 | 203 | |
| 4 | 1982 | 167 | |
| 5 | 2006 | 153 | |
| 6 | 1999 | 103 | |
| 7 | 2009 | 102 | |
| 8 | 1980 | 96 | |
| 9 | 1984 | 87 | |
| 10 | 2001 | 82 | |
| 11 | 1995 | 81 | |
| 12 | 2002 | 76 | |
| 13 | 1987 | 64 | |
| 14 | 2003 | 62 | |
| 15 | 1997 | 56 | |
| 16 | 1990 | 54 | |
| 17 | 1997 | 46 | |
| 18 | 1994 | 44 | |
| 19 | 1984 | 35 | |
| 20 | 2000 | 34 |
About Lars Eldén
Lars Eldén is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics, Computational Mathematics and Computational Mechanics, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (35 papers), Matrix Theory and Algorithms (23 papers), Statistical and numerical algorithms (17 papers), Tensor decomposition and applications (12 papers), Advanced Mathematical Modeling in Engineering (11 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 (351 citations), Mathematical Physics (1.0k citations), Numerical Analysis (371 citations), Computational Theory and Mathematics (913 citations) and Applied Mathematics (400 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 Inverse Problems, BIT Numerical Mathematics, SIAM Journal on Matrix Analysis and Applications, Mathematics of Computation and Numerical Linear Algebra with 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.