R. L. Stens

2.2k citations
40 papers · 1.1k indexed · h-index 18

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
  • Numerical Analysis 279
  • Mathematical Physics 226
  • Computer Vision and Pattern Recognition 311
Replace Rolf Joachim Nessel with:
Rolf Joachim Nessel Germany
D. Leviatan Israel
Carlo Bardaro Italy
Б. И. Голубов Russia
Eugenio Hernández Spain
Günter Meinardus Germany
J. Szabados Hungary
Vu Kim Tuan United States
Frank Deutsch United States
Manfred V. Golitschek Germany
R. L. Stens relative to Rolf Joachim Nessel Germany Rolf Joachim Nessel's profile →
Citations per field
00.5×5.7×
Rolf Joachim Nessel · 1×
Citations per year

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

The 15 scholars most cited alongside R. L. Stens, 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 R. L. Stens Line = papers co-authored together R. L. Stens links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20201
3 20141
4 20146
5 20138
6 20121
7 201020
8 200531
9 200548
10 200359
11
Sampling theory in Fourier and signal analysis : advanced topics
199989
12 19982
13 19926
14
The sampling theorem and its unique role in various branches of mathematics
19909
15 198787
16 198716
17 198650
18 198320
19 197912
20 197763

About R. L. Stens

R. L. Stens is a scholar working on Applied Mathematics, Numerical Analysis and Statistics and Probability, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (15 papers), Image and Signal Denoising Methods (11 papers), Approximation Theory and Sequence Spaces (9 papers), Digital Filter Design and Implementation (8 papers), Mathematical Approximation and Integration (7 papers), Numerical methods in inverse problems (6 papers), Mathematical functions and polynomials (5 papers) and Advanced Harmonic Analysis Research (4 papers). The work is most often cited by research in Applied Mathematics (830 citations), Statistics and Probability (468 citations) and Numerical Analysis (279 citations). R. L. Stens has collaborated with scholars based in Germany, Portugal and Italy. Frequent 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. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Mathematical Analysis and Applications and SIAM Review.

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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