Philippe Lemmerling

28 papers receiving 557 citations

Peers

Philippe Lemmerling
Comparison fields: 5 of 82
  • Applied Mathematics 272
  • Signal Processing 94
  • Computer Vision and Pattern Recognition 141
  • Control and Systems Engineering 133
  • Oceanography 62
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Ricardo D. Fierro United States
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Lemmerling

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lemmerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Philippe Lemmerling, 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 Philippe Lemmerling Line = papers co-authored together Philippe Lemmerling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002125
2 2006113
3 200050
4 200142
5 200040
6
STRUCTURED TOTAL LEAST SQUARES Analysis, Algorithms and Applications
200239
7 200436
8 200124
9 200221
10 200116
11 200315
12 200212
13 200312
14 20039
15
Structured total least squares problems: formulations, algorithms and applications
19978
16 20025
17 20035
18
A new trade-off in linear system identification : misfit versus latency
19985
19 20005
20 20003

About Philippe Lemmerling

Philippe Lemmerling is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Oceanography, having authored 28 papers that have together received 600 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (15 papers), Image and Signal Denoising Methods (8 papers), Control Systems and Identification (4 papers), Blind Source Separation Techniques (4 papers), Geophysics and Gravity Measurements (4 papers), Matrix Theory and Algorithms (3 papers), Advanced Adaptive Filtering Techniques (3 papers) and Optical Imaging and Spectroscopy Techniques (2 papers). The work is most often cited by research in Applied Mathematics (272 citations), Signal Processing (94 citations), Computer Vision and Pattern Recognition (141 citations), Control and Systems Engineering (133 citations) and Oceanography (62 citations). Philippe Lemmerling has collaborated with scholars based in Belgium, Italy and United States. Frequent co-authors include Sabine Van Huffel, Nicola Mastronardi, Bart De Moor, Leentje Vanhamme, Diana M. Sima, Arjan W. Simonetti, Jean‐Baptiste Poullet, Werner Verhelst, Patrick Wambacq and Geert Morren. Their work appears in journals such as Signal Processing, Numerical Algorithms, Advances in experimental medicine and biology, SIAM Journal on Matrix Analysis and Applications and NMR in Biomedicine.

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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