Carl D. Meyer
Impact in
- Computational Mathematics top 0.5%
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
Papers in
-
- Advanced Optimization Algorithms Research 13
-
- Matrix Theory and Algorithms 36
- Co-authors
- Amy N. LangvilleStephen L. CampbellIlse C. F. IpsenNicholas J. RoseMichele BenziMiroslav TůmaRobert J. PlemmonsG. W. Stewart
- Journals
- Linear Algebra and its Applications (13 papers)SIAM Review (7 papers)SIAM Journal on Applied Mathematics (7 papers)SIAM Journal on Matrix Analysis and Applications (4 papers)SIAM Journal on Scientific Computing (3 papers)
- Partner nations
- United StatesItalyMalawi
In The Last Decade
Carl D. Meyer
72 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computational Mathematics 150
- Numerical Analysis 996
- Computational Theory and Mathematics 2.8k
- Statistical and Nonlinear Physics 1.6k
- Algebra and Number Theory 387
Countries citing papers authored by Carl D. Meyer
This map shows the geographic impact of Carl D. Meyer'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 Carl D. Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl D. Meyer more than expected).
Fields of papers citing papers by Carl D. Meyer
This network shows the impact of papers produced by Carl D. Meyer. 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 Carl D. Meyer. The network helps show where Carl D. Meyer may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Carl D. Meyer, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 0 | |
| 4 | Determining the Number of Clusters via Iterative Consensus Clustering ∗ | 2013 | 9 |
| 5 | 2006 | 447 | |
| 6 | 2006 | 57 | |
| 7 | 2001 | 121 | |
| 8 | 2000 | 51 | |
| 9 | 1998 | 36 | |
| 10 | 1989 | 60 | |
| 11 | 1986 | 68 | |
| 12 | 1982 | 7 | |
| 13 | 1978 | 22 | |
| 14 | 1978 | 11 | |
| 15 | 1978 | 34 | |
| 16 | 1975 | 55 | |
| 17 | 1971 | 4 | |
| 18 | 1970 | 6 | |
| 19 | 1970 | 12 | |
| 20 | 1969 | 1 |
About Carl D. Meyer
Carl D. Meyer is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Statistics and Probability, Algebra and Number Theory and Geometry and Topology, having authored 76 papers that have together received 8.4k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (36 papers), Advanced Optimization Algorithms Research (13 papers), Markov Chains and Monte Carlo Methods (9 papers), Web Data Mining and Analysis (8 papers), Data Management and Algorithms (7 papers), Advanced Queuing Theory Analysis (7 papers), Mathematics and Applications (7 papers) and graph theory and CDMA systems (6 papers). The work is most often cited by research in Computational Mathematics (150 citations), Numerical Analysis (996 citations), Computational Theory and Mathematics (2.8k citations), Statistical and Nonlinear Physics (1.6k citations) and Algebra and Number Theory (387 citations). Carl D. Meyer has collaborated with scholars based in United States, Italy and Malawi. Frequent co-authors include Amy N. Langville, Stephen L. Campbell, Ilse C. F. Ipsen, Nicholas J. Rose, Michele Benzi, Miroslav Tůma, Robert J. Plemmons, G. W. Stewart, Gene H. Golub and R. E. Funderlic. Their work appears in journals such as Linear Algebra and its Applications, SIAM Review, SIAM Journal on Applied Mathematics, SIAM Journal on Matrix Analysis and Applications and SIAM Journal on Scientific 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.