Ursula Molter

1.3k total citations
53 papers, 639 citations indexed

About

Ursula Molter is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ursula Molter has authored 53 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Applied Mathematics, 22 papers in Mathematical Physics and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ursula Molter's work include Mathematical Analysis and Transform Methods (19 papers), Mathematical Dynamics and Fractals (16 papers) and Image and Signal Denoising Methods (14 papers). Ursula Molter is often cited by papers focused on Mathematical Analysis and Transform Methods (19 papers), Mathematical Dynamics and Fractals (16 papers) and Image and Signal Denoising Methods (14 papers). Ursula Molter collaborates with scholars based in Argentina, United States and Canada. Ursula Molter's co-authors include Carlos Cabrelli, Akram Aldroubi, Christopher Heil, Ronald W. Shonkwiler, Edward R. Vrscay, Bruno Forte, Kathryn E. Hare, Sui Tang, Ezequiel Rela and Friedrich Philipp and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Mathematical Analysis and Applications and Computers & Mathematics with Applications.

In The Last Decade

Ursula Molter

46 papers receiving 591 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ursula Molter Argentina 15 250 248 180 138 78 53 639
Carlos Cabrelli Argentina 15 277 1.1× 326 1.3× 202 1.1× 145 1.1× 72 0.9× 56 794
Isaac Z. Pesenson United States 12 133 0.5× 326 1.3× 150 0.8× 74 0.5× 149 1.9× 48 671
Lizhong Peng China 15 156 0.6× 614 2.5× 359 2.0× 59 0.4× 41 0.5× 93 843
Eugenio Hernández Spain 15 422 1.7× 803 3.2× 297 1.6× 145 1.1× 42 0.5× 41 1.0k
Piotr Mikusiński United States 17 120 0.5× 324 1.3× 250 1.4× 48 0.3× 68 0.9× 56 742
Richard S. Laugesen United States 16 119 0.5× 449 1.8× 210 1.2× 249 1.8× 223 2.9× 60 826
Shayne Waldron New Zealand 12 68 0.3× 283 1.1× 58 0.3× 203 1.5× 74 0.9× 49 583
Takashi Komatsu Japan 14 333 1.3× 149 0.6× 172 1.0× 44 0.3× 124 1.6× 106 699
R. L. Stens Germany 18 311 1.2× 830 3.3× 226 1.3× 107 0.8× 74 0.9× 40 1.1k
Martial Agueh Canada 10 56 0.2× 336 1.4× 113 0.6× 59 0.4× 137 1.8× 27 635

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-authorship network of co-authors of Ursula Molter

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Molter. A scholar is included among the top collaborators of Ursula Molter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ursula Molter. Ursula Molter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Molter, Ursula, et al.. (2025). Critical values for intermediate and box dimensions of projections and other images of compact sets. 12(3). 369–394. 1 indexed citations
2.
Aldroubi, Akram, Carlos Cabrelli, & Ursula Molter. (2025). Periodic source detection in discrete dynamical systems via space–time sampling. Expositiones Mathematicae. 43(6). 125730–125730. 1 indexed citations
3.
Cabrelli, Carlos, et al.. (2024). Weaving Riesz Bases. Journal of Fourier Analysis and Applications. 31(1).
4.
Molter, Ursula, et al.. (2020). Continuous and discrete dynamical sampling. Conicet. 7 indexed citations
5.
Molter, Ursula, et al.. (2017). Crystallographic multiwavelets in 𝐿²(ℝ^{𝕕}). Proceedings of the American Mathematical Society. 149(6). 2445–2460.
6.
Aldroubi, Akram, et al.. (2016). Iterative actions of normal operators. Journal of Functional Analysis. 272(3). 1121–1146. 34 indexed citations
7.
Cabrelli, Carlos, Ursula Molter, & Götz E. Pfander. (2015). An Amalgam Balian-Low Theorem for symplectic lattices of rational density. Publication Server of the Catholic University Eichstätt-Ingolstadt (Catholic University of Eichstätt-Ingolstadt). 30. 134–138. 2 indexed citations
8.
Molter, Ursula & Ezequiel Rela. (2011). Furstenberg sets for a fractal set of directions. Proceedings of the American Mathematical Society. 140(8). 2753–2765. 10 indexed citations
9.
Molter, Ursula & Ezequiel Rela. (2010). Sharp dimension bounds for Furstenberg-type sets. arXiv (Cornell University). 1 indexed citations
10.
Cabrelli, Carlos, Kathryn E. Hare, & Ursula Molter. (2010). Classifying Cantor sets by their fractal dimensions. Proceedings of the American Mathematical Society. 138(11). 3965–3974. 7 indexed citations
11.
Aldroubi, Akram, Carlos Cabrelli, & Ursula Molter. (2009). Optimal non-linear models. Revista de la Unión Matemática Argentina. 50(2). 217–225. 2 indexed citations
12.
Molter, Ursula & Ezequiel Rela. (2009). Improving dimension estimates for Furstenberg-type sets. Advances in Mathematics. 223(2). 672–688. 4 indexed citations
13.
Aldroubi, Akram, Carlos Cabrelli, Douglas P. Hardin, & Ursula Molter. (2007). Optimal shift invariant spaces and their Parseval frame generators. Applied and Computational Harmonic Analysis. 23(2). 273–283. 15 indexed citations
14.
Molter, Ursula, et al.. (2007). Dimension functions of Cantor sets. Proceedings of the American Mathematical Society. 135(10). 3151–3161. 18 indexed citations
15.
Aldroubi, Akram, Carlos Cabrelli, & Ursula Molter. (2004). Wavelets on irregular grids with arbitrary dilation matrices and frame atoms forL2(Rd). Applied and Computational Harmonic Analysis. 17(2). 119–140. 62 indexed citations
16.
Cabrelli, Carlos, Kathryn E. Hare, & Ursula Molter. (2002). Sums of Cantor sets yielding an interval. Journal of the Australian Mathematical Society. 73(3). 405–418. 13 indexed citations
17.
Cabrelli, Carlos, Ursula Molter, & Ronald W. Shonkwiler. (2000). A constructive algorithm to solve "convex recursive deletion" (CoRD) classification problems via two-layer perceptron networks. IEEE Transactions on Neural Networks. 11(3). 811–816. 7 indexed citations
18.
Cabrelli, Carlos, Christopher Heil, & Ursula Molter. (1998). Accuracy of Lattice Translates of Several Multidimensional Refinable Functions. Journal of Approximation Theory. 95(1). 5–52. 51 indexed citations
19.
Cabrelli, Carlos & Ursula Molter. (1995). The Kantorovich metric for probability measures on the circle. Journal of Computational and Applied Mathematics. 57(3). 345–361. 22 indexed citations
20.
Cabrelli, Carlos, Bruno Forte, Ursula Molter, & Edward R. Vrscay. (1992). Iterated fuzzy set systems: A new approach to the inverse problem for fractals and other sets. Journal of Mathematical Analysis and Applications. 171(1). 79–100. 49 indexed citations

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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