Daniel Waterman

1.1k citations
70 papers · 822 · h-index 15

Impact in

    • Advanced Harmonic Analysis Research
    • Differential Equations and Boundary Problems
    • Mathematical Analysis and Transform Methods
    • Advanced Banach Space Theory

Papers in

    • Advanced Harmonic Analysis Research 24
    • Differential Equations and Boundary Problems 10
    • Mathematical Analysis and Transform Methods 8
    • Approximation Theory and Sequence Spaces 20

Daniel Waterman

59 papers receiving 548 citations

Peers

Daniel Waterman
Comparison fields: 5 of 53
  • Applied Mathematics 509
  • Mathematical Physics 301
  • Statistics and Probability 233
  • Numerical Analysis 122
  • Geometry and Topology 155
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Waterman

Since Specialization
Citations

This map shows the geographic impact of Daniel Waterman'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 Waterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Waterman more than expected).

Fields of papers citing papers by Daniel Waterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Waterman. 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 Waterman. The network helps show where Daniel Waterman may publish in the future.

Co-authors

The 10 scholars most cited alongside Daniel Waterman, 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 Waterman Line = papers co-authored together Daniel Waterman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972151
2 197670
3 196168
4 197649
5 197928
6 200127
7 198227
8 196327
9 197126
10 197924
11 196119
12 197619
13 200418
14 198215
15 197014
16 197413
17 196813
18 196012
19 196011
20 197611

About Daniel Waterman

Daniel Waterman is a scholar working on Applied Mathematics, Statistics and Probability, Mathematical Physics, Numerical Analysis and Computational Theory and Mathematics, having authored 70 papers that have together received 822 indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (24 papers), Approximation Theory and Sequence Spaces (20 papers), Mathematical Approximation and Integration (10 papers), Differential Equations and Boundary Problems (10 papers), Mathematical Analysis and Transform Methods (8 papers), advanced mathematical theories (6 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Advanced Banach Space Theory (5 papers). The work is most often cited by research in Applied Mathematics (509 citations), Mathematical Physics (301 citations), Statistics and Probability (233 citations), Numerical Analysis (122 citations) and Geometry and Topology (155 citations). Daniel Waterman has collaborated with scholars based in United States, Hungary and Russia. Frequent co-authors include Casper Goffman, Togo Nishiura, Mikhail Ivanovich Dyachenko, Michael Schramm, Ferenc Móricz, C. M. Petty, Albert Baernstein, W. B. Jurkat, Lawrence D’Antonio and John L. Troutman. Their work appears in journals such as Proceedings of the American Mathematical Society, Studia Mathematica, Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and The Michigan Mathematical Journal.

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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