Ursula Molter

1.3k citations
52 papers · 643 · h-index 15

Impact in

Papers in

    • Mathematical Analysis and Transform Methods 19
    • Point processes and geometric inequalities 5
    • Advanced Harmonic Analysis Research 5
    • Mathematical Dynamics and Fractals 16

Ursula Molter

46 papers receiving 594 citations

Peers

Ursula Molter
Comparison fields: 5 of 73
  • Applied Mathematics 250
  • Mathematical Physics 183
  • Computer Vision and Pattern Recognition 249
  • Geometry and Topology 67
  • Computational Mechanics 138
Replace Carlos Cabrelli with:
Carlos Cabrelli Argentina
Ralph Howard United States
Shayne Waldron New Zealand
Richard S. Laugesen United States
Martial Agueh Canada
Isaac Z. Pesenson United States
Wojciech Chojnacki Australia
Takashi Komatsu Japan
Lizhong Peng China
Rami Shakarchi United States
Ursula Molter relative to Carlos Cabrelli Argentina Carlos Cabrelli's profile →
Citations per field
00.5×1.5×
Carlos Cabrelli · 1×
Citations per year

Countries citing papers authored by Ursula Molter

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Molter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ursula Molter, 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 Ursula Molter Line = papers co-authored together Ursula Molter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199770
2 200462
3 199851
4 199251
5 200445
6 201544
7 199037
8 201632
9 199522
10 200821
11 200718
12 202016
13 200715
14 200214
15 200014
16 200414
17 199713
18 201112
19 200810
20 20107

About Ursula Molter

Ursula Molter is a scholar working on Applied Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition, Geometry and Topology and Computational Mechanics, having authored 52 papers that have together received 643 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (19 papers), Mathematical Dynamics and Fractals (16 papers), Image and Signal Denoising Methods (14 papers), Advanced Numerical Analysis Techniques (8 papers), Point processes and geometric inequalities (5 papers), Advanced Harmonic Analysis Research (5 papers), Advanced Topology and Set Theory (5 papers) and Mathematical Approximation and Integration (4 papers). The work is most often cited by research in Applied Mathematics (250 citations), Mathematical Physics (183 citations), Computer Vision and Pattern Recognition (249 citations), Geometry and Topology (67 citations) and Computational Mechanics (138 citations). Ursula Molter has collaborated with scholars based in Argentina, United States and Canada. Frequent co-authors include Carlos Cabrelli, Akram Aldroubi, Christopher Heil, Ronald W. Shonkwiler, Bruno Forte, Edward R. Vrscay, Kathryn E. Hare, Sui Tang, Ezequiel Rela and Douglas P. Hardin. Their work appears in journals such as Proceedings of the American Mathematical Society, Applied and Computational Harmonic Analysis, Journal of Mathematical Analysis and Applications, Journal of Fourier Analysis and Applications and Journal of Applied Probability.

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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