K. Lebart

642 citations
20 papers · 466 · h-index 10

Impact in

Papers in

K. Lebart

19 papers receiving 438 citations

Peers

K. Lebart
Comparison fields: 5 of 55
  • Signal Processing 236
  • Computational Mechanics 153
  • Media Technology 62
  • Computer Vision and Pattern Recognition 115
  • Cognitive Neuroscience 79
Replace Antonio Canclini with:
Antonio Canclini Italy
Josef Kulmer Austria
P. Runkle United States
Addy Ngan United States
Marco Crocco Italy
Ismail Jouny United States
Dominique Pastor France
J. Schroeder United States
Kartic Subr United Kingdom
Yecai Guo China
K. Lebart relative to Antonio Canclini Italy Antonio Canclini's profile →
Citations per field
00.5×7.8×
Antonio Canclini · 1×
Citations per year

Countries citing papers authored by K. Lebart

Since Specialization
Citations

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

Fields of papers citing papers by K. Lebart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside K. Lebart, 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 K. Lebart Line = papers co-authored together K. Lebart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A New Method Based on Spectral Subtraction for Speech Dereverberation
2001226
2 200445
3 200342
4 200721
5 200420
6 200618
7 200517
8 200213
9 200313
10 200810
11
A New Method Based on Spectral Subtraction for the Suppression of Late Reverberation from Speech Signals
19988
12 20068
13 19967
14
Video sensors play major role in subsea scientific missions
20025
15 20024
16 19983
17 20052
18
SeeTrack: a system for post-mission analysis of AUV data products
20012
19 20072
20
Recovery of 3D information from underwater images
20040

About K. Lebart

K. Lebart is a scholar working on Ocean Engineering, Computer Vision and Pattern Recognition, Oceanography, Aerospace Engineering and Signal Processing, having authored 20 papers that have together received 466 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (6 papers), Underwater Acoustics Research (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Speech and Audio Processing (3 papers), Advanced Image Fusion Techniques (2 papers), Image Enhancement Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Radiation Detection and Scintillator Technologies (2 papers). The work is most often cited by research in Signal Processing (236 citations), Computational Mechanics (153 citations), Media Technology (62 citations), Computer Vision and Pattern Recognition (115 citations) and Cognitive Neuroscience (79 citations). K. Lebart has collaborated with scholars based in United Kingdom, Italy and France. Frequent co-authors include P.N. Denbigh, J.-M. Boucher, David M. Lane, Emanuele Trucco, Yvan Pétillot, Chris Smith, E. Coiras, J. S. Bell, Andrew R. Harvey and Jean‐Marc Boucher. Their work appears in journals such as IET Radar Sonar & Navigation, Pattern Recognition Letters, Journal of the Audio Engineering Society, IEEE Journal of Oceanic Engineering and INFM-OAR (INFN Catania).

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.

Explore authors with similar magnitude of impact