Daniel S. Moak
Impact in
- Algebra and Number Theory top 10%
- Advanced Mathematical Identities
- Applied Mathematics top 2%
- Mathematical functions and polynomials
- Mathematical Inequalities and Applications
- Functional Equations Stability Results
Papers in
-
- Functional Equations Stability Results 6
- Mathematical functions and polynomials 5
-
- Advanced Mathematical Theories and Applications 2
- Nonlinear Waves and Solitons 2
- Co-authors
- E. B. Saff (2 shared papers)R. S. Varga (2 shared papers)K. P. S. Bhaskara Rao (2 shared papers)Karen L. Collins (1 shared paper)
- Journals
- Aequationes Mathematicae (4 papers)Discrete Mathematics (3 papers)Proceedings of the American Mathematical Society (2 papers)Transactions of the American Mathematical Society (2 papers)Journal of Mathematical Analysis and Applications (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Daniel S. Moak
15 papers receiving 236 citations
Peers
Comparison fields: 5 of 40
- Algebra and Number Theory 97
- Applied Mathematics 210
- Discrete Mathematics and Combinatorics 28
- Geometry and Topology 49
- Modeling and Simulation 25
Countries citing papers authored by Daniel S. Moak
This map shows the geographic impact of Daniel S. Moak'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 Daniel S. Moak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Moak more than expected).
Fields of papers citing papers by Daniel S. Moak
This network shows the impact of papers produced by Daniel S. Moak. 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 Daniel S. Moak. The network helps show where Daniel S. Moak may publish in the future.
Co-authors
The 4 scholars most cited alongside Daniel S. Moak, 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 | 1981 | 118 | |
| 2 | 1980 | 38 | |
| 3 | 1984 | 36 | |
| 4 | 1980 | 30 | |
| 5 | 1979 | 18 | |
| 6 | 1987 | 12 | |
| 7 | 1979 | 8 | |
| 8 | 1986 | 6 | |
| 9 | 1990 | 3 | |
| 10 | 1981 | 3 | |
| 11 | 1991 | 2 | |
| 12 | 1990 | 2 | |
| 13 | 1990 | 1 | |
| 14 | 1994 | 1 | |
| 15 | 1979 | 1 | |
| 16 | 1990 | 0 |
About Daniel S. Moak
Daniel S. Moak is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics, Algebra and Number Theory, Geometry and Topology and Numerical Analysis, having authored 16 papers that have together received 279 indexed citations. Recurring topics across this work include Functional Equations Stability Results (6 papers), Mathematical functions and polynomials (5 papers), Advanced Topics in Algebra (4 papers), Advanced Mathematical Theories and Applications (2 papers), Matrix Theory and Algorithms (2 papers), Quantum Mechanics and Non-Hermitian Physics (2 papers), Nonlinear Waves and Solitons (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Algebra and Number Theory (97 citations), Applied Mathematics (210 citations), Discrete Mathematics and Combinatorics (28 citations), Geometry and Topology (49 citations) and Modeling and Simulation (25 citations). Daniel S. Moak has collaborated with scholars based in United States and India. Frequent co-authors include E. B. Saff, R. S. Varga, K. P. S. Bhaskara Rao and Karen L. Collins. Their work appears in journals such as Aequationes Mathematicae, Discrete Mathematics, Proceedings of the American Mathematical Society, Transactions of the American Mathematical Society and Journal of Mathematical Analysis and Applications.
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.