Tor Sørevik
Impact in
- Numerical Analysis top 10%
- Mathematical Approximation and Integration
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Mathematical Approximation and Integration 6
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- Parallel Computing and Optimization Techniques 7
- Co-authors
- James N. Lyness (7 shared papers)Fredrik Manne (4 shared papers)J. P. Hansen (3 shared papers)Lars Bojer Madsen (2 shared papers)Petter E. Bjørstad (3 shared papers)Hans Munthe–Kaas (1 shared paper)Terje O. Espelid (3 shared papers)Marián Vajteršic (1 shared paper)
- Journals
- BIT Numerical Mathematics (5 papers)Mathematics of Computation (4 papers)Journal of Computational and Applied Mathematics (2 papers)Computing (2 papers)Parallel Computing (1 paper)
- Partner nations
- NorwayUnited StatesAustralia
In The Last Decade
Tor Sørevik
34 papers receiving 293 citations
Peers
Comparison fields: 5 of 53
- Numerical Analysis 72
- Hardware and Architecture 69
- Computational Mathematics 5
- Computational Theory and Mathematics 85
- Computer Networks and Communications 86
Countries citing papers authored by Tor Sørevik
This map shows the geographic impact of Tor Sørevik'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 Tor Sørevik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tor Sørevik more than expected).
Fields of papers citing papers by Tor Sørevik
This network shows the impact of papers produced by Tor Sørevik. 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 Tor Sørevik. The network helps show where Tor Sørevik may publish in the future.
Co-authors
The 13 scholars most cited alongside Tor Sørevik, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 31 | |
| 2 | 2003 | 28 | |
| 3 | 1992 | 27 | |
| 4 | 2003 | 26 | |
| 5 | 1996 | 24 | |
| 6 | 1995 | 19 | |
| 7 | 2011 | 17 | |
| 8 | 1991 | 12 | |
| 9 | 1991 | 12 | |
| 10 | PARALLEL WAVELET-BASED COMPRESSION OF TWO-DIMENSIONAL DATA | 2000 | 11 |
| 11 | 2001 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 1989 | 9 | |
| 14 | 1989 | 9 | |
| 15 | 2008 | 9 | |
| 16 | 1992 | 8 | |
| 17 | 1993 | 8 | |
| 18 | 1991 | 7 | |
| 19 | 1997 | 6 | |
| 20 | 2015 | 4 |
About Tor Sørevik
Tor Sørevik is a scholar working on Numerical Analysis, Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 322 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (7 papers), Mathematical Approximation and Integration (6 papers), Interconnection Networks and Systems (5 papers), Optimization and Packing Problems (4 papers), semigroups and automata theory (4 papers), Computational Physics and Python Applications (3 papers) and Advanced Numerical Analysis Techniques (3 papers). The work is most often cited by research in Numerical Analysis (72 citations), Hardware and Architecture (69 citations), Computational Mathematics (5 citations), Computational Theory and Mathematics (85 citations) and Computer Networks and Communications (86 citations). Tor Sørevik has collaborated with scholars based in Norway, United States and Australia. Frequent co-authors include James N. Lyness, Fredrik Manne, J. P. Hansen, Lars Bojer Madsen, Petter E. Bjørstad, Hans Munthe–Kaas, Terje O. Espelid, Marián Vajteršic, P. Keast and Jarle Berntsen. Their work appears in journals such as BIT Numerical Mathematics, Mathematics of Computation, Journal of Computational and Applied Mathematics, Computing and Parallel Computing.
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.