R. L. Stens

2.2k total citations
40 papers, 1.1k citations indexed

About

R. L. Stens is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Numerical Analysis. According to data from OpenAlex, R. L. Stens has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Applied Mathematics, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Numerical Analysis. Recurrent topics in R. L. Stens's work include Mathematical Analysis and Transform Methods (15 papers), Image and Signal Denoising Methods (11 papers) and Approximation Theory and Sequence Spaces (9 papers). R. L. Stens is often cited by papers focused on Mathematical Analysis and Transform Methods (15 papers), Image and Signal Denoising Methods (11 papers) and Approximation Theory and Sequence Spaces (9 papers). R. L. Stens collaborates with scholars based in Germany, Portugal and Italy. R. L. Stens's co-authors include P. L. Butzer, Gianluca Vıntı, Carlo Bardaro, John R. Higgins, Gerhard Schmeißer, Harald Dyckhoff, Paulo J. S. G. Ferreira, Béla Szõkefalvi-Nagy, Asja Fischer and Saburou Saitoh and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Mathematical Analysis and Applications and SIAM Review.

In The Last Decade

R. L. Stens

38 papers receiving 1.0k citations

Peers

R. L. Stens
Comparison fields: 5 of 64
  • Applied Mathematics 830
  • Statistics and Probability 468
  • Computer Vision and Pattern Recognition 311
  • Numerical Analysis 279
  • Mathematical Physics 226
Rolf Joachim Nessel Germany
D. Leviatan Israel
Carlo Bardaro Italy
Б. И. Голубов Russia
Eugenio Hernández Spain
Vu Kim Tuan United States
Shayne Waldron New Zealand
Tino Ullrich Germany
Günter Meinardus Germany
J. Szabados Hungary
Rolf Joachim Nessel Germany View profile →
Citations per field, relative to R. L. Stens
R. L. Stens · 1×
Citations per year, relative to R. L. Stens
R. L. Stens · 1×

Countries citing papers authored by R. L. Stens

Since Specialization
Citations

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

Fields of papers citing papers by R. L. Stens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. L. Stens. 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 R. L. Stens. The network helps show where R. L. Stens may publish in the future.

Co-authorship network of co-authors of R. L. Stens

This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Stens. A scholar is included among the top collaborators of R. L. Stens 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 R. L. Stens. R. L. Stens 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
# Work Indexed citations
1 0
2 1
3 1
4 6
5 8
6 1
7 20
8 31
9 48
10 59
11
Sampling theory in Fourier and signal analysis : advanced topics
89
12 2
13 6
14
The sampling theorem and its unique role in various branches of mathematics
9
15 87
16 16
17 50
18 20
19 12
20 63

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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