O. Leneman

406 citations
19 papers · 277 · h-index 8

Impact in

Papers in

O. Leneman

19 papers receiving 246 citations

Peers

O. Leneman
Comparison fields: 5 of 55
  • Applied Mathematics 53
  • Signal Processing 39
  • Computer Vision and Pattern Recognition 51
  • Statistics and Probability 18
  • Computational Mechanics 44
Replace Roger Webster with:
Roger Webster United Kingdom
Donald E. Catlin United States
W. R. Bennett Japan
Yoshifusa Ito Japan
Richard C. Singleton United States
David Kelly Canada
Hans Schmid Germany
Lee W. Johnson United States
C. R. Cahn United States
B. V. Landau United Kingdom
O. Leneman relative to Roger Webster United Kingdom Roger Webster's profile →
Citations per field
00.5×1.5×2.0×
Roger Webster · 1×
Citations per year

Countries citing papers authored by O. Leneman

Since Specialization
Citations

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

Fields of papers citing papers by O. Leneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside O. Leneman, 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 O. Leneman Line = papers co-authored together O. Leneman links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 196655
2 196643
3 196842
4 196638
5 196627
6 196625
7 197111
8 19678
9 19687
10 19665
11 19663
12 19672
13 19662
14 19652
15
Random sampling of random processes - Step- wise processes.
19662
16 19662
17 19681
18 19641
19 19661

About O. Leneman

O. Leneman is a scholar working on Applied Mathematics, Signal Processing, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 19 papers that have together received 277 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (5 papers), Blind Source Separation Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers), Quantum chaos and dynamical systems (2 papers), Neural Networks and Applications (2 papers), Image and Signal Denoising Methods (2 papers), Control Systems and Identification (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Applied Mathematics (53 citations), Signal Processing (39 citations), Computer Vision and Pattern Recognition (51 citations), Statistics and Probability (18 citations) and Computational Mechanics (44 citations). O. Leneman has collaborated with scholars based in United States. Frequent co-authors include Frederick J. Beutler and James B. Lewis. Their work appears in journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE, Journal of the Franklin Institute, IEEE Transactions on Aerospace and Electronic Systems and Acta Mathematica.

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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