Daniel S. Moak

444 citations
17 papers · 321 · h-index 8

Impact in

Papers in

Daniel S. Moak

16 papers receiving 275 citations

Peers

Daniel S. Moak
Comparison fields: 5 of 43
  • Algebra and Number Theory 110
  • Applied Mathematics 233
  • Discrete Mathematics and Combinatorics 31
  • Geometry and Topology 56
  • Modeling and Simulation 28
Replace Youssèf Ben Cheikh with:
Youssèf Ben Cheikh Tunisia
H.T. Koelink Netherlands
Yu‐Qiu Zhao China
Galina Filipuk Poland
Amílcar Branquinho Portugal
M. Gekhtman United States
M. Vanlessen Belgium
Wolter Groenevelt Netherlands
Roland Girgensohn Germany
Tanguy Rivoal France
Daniel S. Moak relative to Youssèf Ben Cheikh Tunisia Youssèf Ben Cheikh's profile →
Citations per field
00.5×1.5×
Youssèf Ben Cheikh · 1×
Citations per year

Countries citing papers authored by Daniel S. Moak

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 5 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.

Border = papers with Daniel S. Moak Line = papers co-authored together Daniel S. Moak links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1981128
2 198041
3 198040
4 198440
5 197919
6 198715
7 20008
8 19798
9 19866
10 19905
11 19814
12 19912
13 19902
14 19901
15 19791
16 19941
17 19900

About Daniel S. Moak

Daniel S. Moak is a scholar working on Applied Mathematics, Algebra and Number Theory, Geometry and Topology, Statistical and Nonlinear Physics and Numerical Analysis, having authored 17 papers that have together received 321 indexed citations. Recurring topics across this work include Functional Equations Stability Results (7 papers), Mathematical functions and polynomials (5 papers), Advanced Topics in Algebra (4 papers), Advanced Optimization Algorithms Research (2 papers), Mathematical Inequalities and Applications (2 papers), Nonlinear Waves and Solitons (2 papers), Quantum Mechanics and Non-Hermitian Physics (2 papers) and Mathematics and Applications (2 papers). The work is most often cited by research in Algebra and Number Theory (110 citations), Applied Mathematics (233 citations), Discrete Mathematics and Combinatorics (31 citations), Geometry and Topology (56 citations) and Modeling and Simulation (28 citations). Daniel S. Moak has collaborated with scholars based in United States and India. Frequent co-authors include E. B. Saff, Richard S. Varga, Blake Boursaw, K. P. S. Bhaskara Rao and Karen L. Collins. Their work appears in journals such as Aequationes Mathematicae, Discrete Mathematics, Transactions of the American Mathematical Society, Proceedings 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.

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