A.M. Chapman
Impact in
- Numerical Analysis top 10%
Papers in
-
- Matrix Theory and Algorithms 5
-
- Nanomaterials for catalytic reactions 2
- Co-authors
- Yousef Saad (4 shared papers)Piet W. N. M. van Leeuwen (2 shared papers)Israel Cano (2 shared papers)Atsushi Urakawa (1 shared paper)Torsten Gutmann (1 shared paper)Pedro B. Groszewicz (1 shared paper)Miguel A. Huertos (1 shared paper)Gerd Buntkowsky (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)International Journal for Numerical Methods in Fluids (2 papers)Numerical Linear Algebra with Applications (1 paper)Numerical Methods for Partial Differential Equations (1 paper)Advanced Synthesis & Catalysis (1 paper)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
A.M. Chapman
9 papers receiving 439 citations
Peers
Comparison fields: 5 of 56
- Computational Mathematics 7
- Numerical Analysis 52
- Computational Theory and Mathematics 150
- Inorganic Chemistry 122
- Organic Chemistry 198
Countries citing papers authored by A.M. Chapman
This map shows the geographic impact of A.M. Chapman'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 A.M. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.M. Chapman more than expected).
Fields of papers citing papers by A.M. Chapman
This network shows the impact of papers produced by A.M. Chapman. 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 A.M. Chapman. The network helps show where A.M. Chapman may publish in the future.
Co-authors
The 19 scholars most cited alongside A.M. Chapman, 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 | 1997 | 130 | |
| 2 | 2014 | 130 | |
| 3 | 2015 | 101 | |
| 4 | 2012 | 52 | |
| 5 | 2000 | 34 | |
| 6 | 2010 | 12 | |
| 7 | 2000 | 11 | |
| 8 | 2000 | 4 | |
| 9 | PSPARSLIB: A Portable Library of Parallel Sparse Iterative Solvers. | 1997 | 2 |
About A.M. Chapman
A.M. Chapman is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Atomic and Molecular Physics, and Optics, Computational Mechanics and Inorganic Chemistry, having authored 9 papers that have together received 476 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (5 papers), Asymmetric Hydrogenation and Catalysis (3 papers), Electromagnetic Scattering and Analysis (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Parallel Computing and Optimization Techniques (2 papers), Electromagnetic Simulation and Numerical Methods (2 papers), Nanomaterials for catalytic reactions (2 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Numerical Analysis (52 citations), Computational Theory and Mathematics (150 citations), Inorganic Chemistry (122 citations) and Organic Chemistry (198 citations). A.M. Chapman has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Yousef Saad, Piet W. N. M. van Leeuwen, Israel Cano, Atsushi Urakawa, Torsten Gutmann, Pedro B. Groszewicz, Miguel A. Huertos, Gerd Buntkowsky, Giorgio Strukul and Paolo Sgarbossa. Their work appears in journals such as Journal of the American Chemical Society, International Journal for Numerical Methods in Fluids, Numerical Linear Algebra with Applications, Numerical Methods for Partial Differential Equations and Advanced Synthesis & Catalysis.
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.