Mårten Gulliksson
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations 6
- Advanced Optimization Algorithms Research 6
- Mathematical Physics top 5%
- Numerical methods in inverse problems 17
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- Matrix Theory and Algorithms 6
- Advanced Mathematical Modeling in Engineering 5
- Applied Mathematics top 5%
- Statistical and numerical algorithms 7
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- Advanced Measurement and Metrology Techniques 6
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- Sparse and Compressive Sensing Techniques 5
Mårten Gulliksson
52 papers receiving 451 citations
Peers
Comparison fields: 5 of 70
- Numerical Analysis 156
- Mathematical Physics 122
- Computational Theory and Mathematics 200
- Computational Mathematics 6
- Applied Mathematics 73
Countries citing papers authored by Mårten Gulliksson
This map shows the geographic impact of Mårten Gulliksson'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 Mårten Gulliksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mårten Gulliksson more than expected).
Fields of papers citing papers by Mårten Gulliksson
This network shows the impact of papers produced by Mårten Gulliksson. 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 Mårten Gulliksson. The network helps show where Mårten Gulliksson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mårten Gulliksson, 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 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 1 | |
| 4 | 2019 | 1 | |
| 5 | A damped flow for image denoising | 2018 | 2 |
| 6 | 2018 | 2 | |
| 7 | The Discrete Dynamical Functional Particle Method for Solving Constrained Optimization Problems | 2017 | 3 |
| 8 | 2017 | 7 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 9 | |
| 11 | 2016 | 12 | |
| 12 | 2016 | 13 | |
| 13 | Adaptive finite element methods for parameter estimation problems in linear elasticity | 2009 | 2 |
| 14 | Surface fitting with NURBS: a gauss Newton with trust region approach | 2008 | 3 |
| 15 | 2002 | 40 | |
| 16 | 2000 | 34 | |
| 17 | Diffusion of water vapor in paper | 1998 | 3 |
| 18 | 1995 | 9 | |
| 19 | 1995 | 16 | |
| 20 | 1995 | 15 |
About Mårten Gulliksson
Mårten Gulliksson is a scholar working on Numerical Analysis, Mathematical Physics and Computational Mathematics, having authored 55 papers that have together received 486 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (17 papers), Statistical and numerical algorithms (7 papers), Iterative Methods for Nonlinear Equations (6 papers), Advanced Measurement and Metrology Techniques (6 papers), Advanced Optimization Algorithms Research (6 papers), Matrix Theory and Algorithms (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Advanced Mathematical Modeling in Engineering (5 papers). The work is most often cited by research in Numerical Analysis (156 citations), Mathematical Physics (122 citations) and Computational Theory and Mathematics (200 citations). Mårten Gulliksson has collaborated with scholars based in Sweden, China and Norway. Frequent co-authors include Per-Åke Wedin, Yimin Wei, Ye Zhang, Inge Söderkvist, Xiaoqing Jin, Torgny Fornstedt, Patrik Forssén, Xiaoliang Cheng, Stepan Mazur and Guan-Yu Lin. Their work appears in journals such as Journal of Applied Mechanics, Mathematics of Computation and Applied Mathematics and 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.