Robert Reams
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
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- Matrix Theory and Algorithms 16
-
- Advanced Optimization Algorithms Research 6
- Co-authors
- Charles R. Johnson (7 shared papers)T. L. Hayden (5 shared papers)Kazuyoshi Ōkubo (1 shared paper)W. Glunt (4 shared papers)Shayne Waldron (1 shared paper)Leslie Hogben (1 shared paper)Thomas J. Laffey (1 shared paper)D. G. McDonald (1 shared paper)
- Journals
- Linear Algebra and its Applications (8 papers)Electronic Journal of Linear Algebra (3 papers)Numerical Linear Algebra with Applications (2 papers)Linear and Multilinear Algebra (2 papers)Operators and Matrices (1 paper)
- Partner nations
- United StatesIrelandJapan
In The Last Decade
Robert Reams
19 papers receiving 265 citations
Peers
Comparison fields: 5 of 63
- Numerical Analysis 80
- Computational Mathematics 7
- Computational Theory and Mathematics 196
- Geometry and Topology 64
- Algebra and Number Theory 31
Countries citing papers authored by Robert Reams
This map shows the geographic impact of Robert Reams'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 Robert Reams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Reams more than expected).
Fields of papers citing papers by Robert Reams
This network shows the impact of papers produced by Robert Reams. 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 Robert Reams. The network helps show where Robert Reams may publish in the future.
Co-authors
The 8 scholars most cited alongside Robert Reams, 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 | 1999 | 79 | |
| 2 | 1996 | 49 | |
| 3 | 2001 | 34 | |
| 4 | 2004 | 21 | |
| 5 | 1999 | 20 | |
| 6 | 2005 | 14 | |
| 7 | 2008 | 14 | |
| 8 | 1998 | 13 | |
| 9 | 2008 | 10 | |
| 10 | 2002 | 10 | |
| 11 | 2002 | 8 | |
| 12 | 1999 | 8 | |
| 13 | 1994 | 7 | |
| 14 | 2000 | 3 | |
| 15 | 1997 | 3 | |
| 16 | 1998 | 3 | |
| 17 | 2008 | 3 | |
| 18 | 2006 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2015 | 0 |
About Robert Reams
Robert Reams is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Electrical and Electronic Engineering, Geometry and Topology and Applied Mathematics, having authored 20 papers that have together received 301 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (16 papers), Advanced Optimization Algorithms Research (6 papers), graph theory and CDMA systems (6 papers), Advanced Mathematical Theories and Applications (3 papers), Graph theory and applications (3 papers), Advanced Topics in Algebra (3 papers), Random Matrices and Applications (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Numerical Analysis (80 citations), Computational Mathematics (7 citations), Computational Theory and Mathematics (196 citations), Geometry and Topology (64 citations) and Algebra and Number Theory (31 citations). Robert Reams has collaborated with scholars based in United States, Ireland and Japan. Frequent co-authors include Charles R. Johnson, T. L. Hayden, Kazuyoshi Ōkubo, W. Glunt, Shayne Waldron, Leslie Hogben, Thomas J. Laffey and D. G. McDonald. Their work appears in journals such as Linear Algebra and its Applications, Electronic Journal of Linear Algebra, Numerical Linear Algebra with Applications, Linear and Multilinear Algebra and Operators and Matrices.
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.