Per‐Gunnar Martinsson
- Computational Mechanics top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Joel A. TroppNathan HalkoVladimir RokhlinMark TygertAdrianna GillmanEdo LibertyZydrunas GimbutasHongwei Cheng
- Topics
- Electromagnetic Scattering and Analysis (36 papers)Electromagnetic Simulation and Numerical Methods (27 papers)Sparse and Compressive Sensing Techniques (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Computational PhysicsSIAM Journal on Numerical Analysis
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Per‐Gunnar Martinsson
52 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Computational Mechanics 1.5k
- Atomic and Molecular Physics, and Optics 1.4k
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 1000
- Electrical and Electronic Engineering 966
Countries citing papers authored by Per‐Gunnar Martinsson
This map shows the geographic impact of Per‐Gunnar Martinsson'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 Per‐Gunnar Martinsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per‐Gunnar Martinsson more than expected).
Fields of papers citing papers by Per‐Gunnar Martinsson
This network shows the impact of papers produced by Per‐Gunnar Martinsson. 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 Per‐Gunnar Martinsson. The network helps show where Per‐Gunnar Martinsson may publish in the future.
Co-authorship network of co-authors of Per‐Gunnar Martinsson
This figure shows the co-authorship network connecting the top 25 collaborators of Per‐Gunnar Martinsson. A scholar is included among the top collaborators of Per‐Gunnar Martinsson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Per‐Gunnar Martinsson. Per‐Gunnar Martinsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 141 | |
| 10 | 7 | |
| 11 | 16 | |
| 12 | 7 | |
| 13 | 60 | |
| 14 | 10 | |
| 15 | 193 | |
| 16 | 12 | |
| 17 | 16 | |
| 18 | 47 | |
| 19 | 9 | |
| 20 | 182 |
About Per‐Gunnar Martinsson
Per‐Gunnar Martinsson is a scholar working on Computational Mathematics, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 57 papers that have together received 4.7k indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (36 papers), Electromagnetic Simulation and Numerical Methods (27 papers) and Sparse and Compressive Sensing Techniques (18 papers). The work is most often cited by research in Computational Mathematics (335 citations), Computational Mechanics (1.5k citations) and Computational Theory and Mathematics (1000 citations). Per‐Gunnar Martinsson has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Joel A. Tropp, Nathan Halko, Vladimir Rokhlin, Mark Tygert, Adrianna Gillman, Edo Liberty, Zydrunas Gimbutas, Hongwei Cheng, Yoel Shkolnisky and Alex H. Barnett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and SIAM Journal on Numerical Analysis.
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.