L. Sendur

2.3k citations
14 papers · 1.7k indexed · 2 hit papers · h-index 10

Impact in

Papers in

L. Sendur

13 papers receiving 1.6k citations

Hit Papers

Bivariate shrinkage with local variance estimation 2002 · 421 citations
4212002202620102018200400600

Peers

L. Sendur
Comparison fields: 5 of 97
  • Media Technology 818
  • Computer Vision and Pattern Recognition 1.2k
  • Cognitive Neuroscience 373
  • Signal Processing 122
  • Radiology, Nuclear Medicine and Imaging 213
Replace NG Kingsbury with:
NG Kingsbury United Kingdom
François G. Meyer United States
David H. Marimont United States
Shuaiqi Liu China
Yasser M. Kadah Egypt
Keigo Hirakawa United States
Yehoshua Y. Zeevi Israel
Reiner Lenz Sweden
Santiago Aja‐Fernández Spain
Bogdan Smołka Poland
L. Sendur relative to NG Kingsbury United Kingdom NG Kingsbury's profile →
Citations per field
00.5×3.0×
NG Kingsbury · 1×
Citations per year

Countries citing papers authored by L. Sendur

Since Specialization
Citations

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

Fields of papers citing papers by L. Sendur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside L. Sendur, 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 L. Sendur Line = papers co-authored together L. Sendur links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
Hit paper breakdown →
2002729
2
Bivariate shrinkage with local variance estimation
Hit paper breakdown →
2002421
3 2005227
4 2004194
5 200229
6 200628
7 200027
8 200516
9 200711
10 200210
11 20037
12 20035
13 19992
14 20040

About L. Sendur

L. Sendur is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Applied Mathematics, Cognitive Neuroscience and Signal Processing, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Advanced Image Fusion Techniques (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Statistical and numerical algorithms (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Image Processing Techniques (2 papers), Mathematical Analysis and Transform Methods (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Media Technology (818 citations), Computer Vision and Pattern Recognition (1.2k citations), Cognitive Neuroscience (373 citations), Signal Processing (122 citations) and Radiology, Nuclear Medicine and Imaging (213 citations). L. Sendur has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Ivan Selesnick, Edward T. Bullmore, John Suckling, Voichiţa Maxim, Jalal Fadili, Robert Howard, Rebecca L. Gould, Brandon Whitcher, Jalal Fadili and Michael Breakspear. Their work appears in journals such as NeuroImage, IEEE Transactions on Signal Processing, Human Brain Mapping, IEEE Signal Processing Letters and OpenMETU (Middle East Technical University).

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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