Roland W. Freund
- Numerical Analysis top 0.2%
- Advanced Optimization Algorithms Research 16
- Numerical methods for differential equations 15
- Computational Theory and Mathematics top 0.1%
- Matrix Theory and Algorithms 39
- Optimization and Variational Analysis 5
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- Model Reduction and Neural Networks 9
- Computational Mechanics top 1%
- Computational Mathematics top 5%
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- Electromagnetic Scattering and Analysis 21
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- Low-power high-performance VLSI design 5
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- Probabilistic and Robust Engineering Design 4
- Co-authors
- Noël M. NachtigalFlorian JarreGene H. GolubMartin H. GutknechtManish MalhotraZhaojun BaiHongyuan ZhaMarlis Hochbruck
- Journals
- Computer Methods in Applied Mechanics and Engineering (1 paper)International Journal for Numerical Methods in Engineering (1 paper)Mathematical Programming (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Roland W. Freund
56 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Numerical Analysis 1.5k
- Computational Theory and Mathematics 2.1k
- Statistical and Nonlinear Physics 763
- Computational Mechanics 963
- Computational Mathematics 26
Countries citing papers authored by Roland W. Freund
This map shows the geographic impact of Roland W. Freund'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 Roland W. Freund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland W. Freund more than expected).
Fields of papers citing papers by Roland W. Freund
This network shows the impact of papers produced by Roland W. Freund. 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 Roland W. Freund. The network helps show where Roland W. Freund may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roland W. Freund, 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 | 2008 | 4 | |
| 2 | 2006 | 16 | |
| 3 | 2005 | 15 | |
| 4 | 2001 | 46 | |
| 5 | 2000 | 317 | |
| 6 | 1999 | 32 | |
| 7 | 1997 | 24 | |
| 8 | 1997 | 119 | |
| 9 | 1995 | 3 | |
| 10 | 1994 | 22 | |
| 11 | 1994 | 10 | |
| 12 | 1993 | 25 | |
| 13 | 1992 | 55 | |
| 14 | 1991 | 16 | |
| 15 | 1991 | 24 | |
| 16 | Krylov Subspace Methods for Complex Non-Hermitian Linear Systems | 1991 | 2 |
| 17 | 1990 | 12 | |
| 18 | 1989 | 2 | |
| 19 | 1988 | 2 | |
| 20 | 1986 | 20 |
About Roland W. Freund
Roland W. Freund is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 59 papers that have together received 3.9k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (39 papers), Electromagnetic Scattering and Analysis (21 papers), Advanced Optimization Algorithms Research (16 papers), Numerical methods for differential equations (15 papers), Model Reduction and Neural Networks (9 papers), Optimization and Variational Analysis (5 papers), Low-power high-performance VLSI design (5 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Numerical Analysis (1.5k citations), Computational Theory and Mathematics (2.1k citations) and Statistical and Nonlinear Physics (763 citations). Roland W. Freund has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Noël M. Nachtigal, Florian Jarre, Gene H. Golub, Martin H. Gutknecht, Manish Malhotra, Zhaojun Bai, Hongyuan Zha, Marlis Hochbruck, Bernd Fischer and P. Feldmann. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, International Journal for Numerical Methods in Engineering and Mathematical Programming.
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.