Sverker Holmgren
- Computational Theory and Mathematics top 5%
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Atomic and Molecular Physics, and Optics
- Numerical Analysis top 10%
- Co-authors
- Hans KarlssonÖrjan CarlborgKatharina KormannSalman ToorElisabeth LarssonErik HägerstenLars RönnegårdEbba Þóra Hvannberg
- Topics
- Advanced Numerical Methods in Computational Mathematics (13 papers)Genetic Mapping and Diversity in Plants and Animals (11 papers)Numerical methods for differential equations (11 papers)
- Partner nations
- SwedenUnited StatesJordan
In The Last Decade
Sverker Holmgren
51 papers receiving 375 citations
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 102
- Computational Mechanics 99
- Computer Networks and Communications 91
- Atomic and Molecular Physics, and Optics 89
- Numerical Analysis 80
Countries citing papers authored by Sverker Holmgren
This map shows the geographic impact of Sverker Holmgren'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 Sverker Holmgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sverker Holmgren more than expected).
Fields of papers citing papers by Sverker Holmgren
This network shows the impact of papers produced by Sverker Holmgren. 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 Sverker Holmgren. The network helps show where Sverker Holmgren may publish in the future.
Co-authorship network of co-authors of Sverker Holmgren
This figure shows the co-authorship network connecting the top 25 collaborators of Sverker Holmgren. A scholar is included among the top collaborators of Sverker Holmgren 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 Sverker Holmgren. Sverker Holmgren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 13 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | Numerical evaluation of the Communication-Avoiding Lanczos algorithm | 3 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Efficient optimization algorithms and implementations for genetic analysis of complex traits on a grid system with multicore nodes | 2 |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 51 | |
| 15 | Time-marching methods for the time-dependent Schrödinger equation | 1 |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 9 | |
| 19 | 10 | |
| 20 | 34 |
About Sverker Holmgren
Sverker Holmgren is a scholar working on Numerical Analysis, Information Systems and Management and Hardware and Architecture, having authored 54 papers that have together received 415 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers) and Numerical methods for differential equations (11 papers). The work is most often cited by research in Numerical Analysis (80 citations), Hardware and Architecture (74 citations) and Computational Theory and Mathematics (102 citations). Sverker Holmgren has collaborated with scholars based in Sweden, United States and Jordan. Frequent co-authors include Hans Karlsson, Örjan Carlborg, Katharina Kormann, Salman Toor, Elisabeth Larsson, Erik Hägersten, Lars Rönnegård, Ebba Þóra Hvannberg, Michael Thuné and Per-Olov Östberg. Their work appears in journals such as The Journal of Chemical Physics, Bioinformatics and Genetics.
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.