B. Lacaze

577 citations
93 papers · 415 · h-index 9

Impact in

Papers in

B. Lacaze

64 papers receiving 248 citations

Peers

B. Lacaze
Comparison fields: 5 of 48
  • Signal Processing 122
  • Applied Mathematics 75
  • Acoustics and Ultrasonics 6
  • Computer Vision and Pattern Recognition 109
  • Computational Mechanics 61
Replace Ivars Bilinskis with:
Ivars Bilinskis Latvia
P.E. Pace United States
Richard G. Wiley United States
Leon H. Sibul United States
Ahmet Serbes Türkiye
Carmeliza Navasca United States
Gil M. Raz United States
John C. Mason United Kingdom
Edward M. Hofstetter United States
B. Lacaze relative to Ivars Bilinskis Latvia Ivars Bilinskis's profile →
Citations per field
00.5×2×3×4.2×
Ivars Bilinskis · 1×
Citations per year

Countries citing papers authored by B. Lacaze

Since Specialization
Citations

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

Fields of papers citing papers by B. Lacaze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside B. Lacaze, 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 B. Lacaze Line = papers co-authored together B. Lacaze links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199636
2 196828
3 200513
4 200513
5 200112
6 200212
7 200711
8 199911
9 199811
10 20079
11 20029
12 20049
13 20089
14 19989
15 20028
16 20108
17 20068
18 19978
19 20068
20 20098

About B. Lacaze

B. Lacaze is a scholar working on Signal Processing, Applied Mathematics, Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, having authored 93 papers that have together received 415 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (21 papers), Mathematical Analysis and Transform Methods (18 papers), Blind Source Separation Techniques (17 papers), Advanced Wireless Communication Techniques (11 papers), Wireless Communication Networks Research (10 papers), Digital Filter Design and Implementation (8 papers), Advancements in PLL and VCO Technologies (7 papers) and Advanced Adaptive Filtering Techniques (6 papers). The work is most often cited by research in Signal Processing (122 citations), Applied Mathematics (75 citations), Acoustics and Ultrasonics (6 citations), Computer Vision and Pattern Recognition (109 citations) and Computational Mechanics (61 citations). B. Lacaze has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Marie Chabert, Daniel Roviras, Vincent Martin, Corinne Mailhes, Nathalie Thomas, Marie‐Laure Boucheret, Noureddine Ellouze, Francis Castanie, Jan Hoffmann and Aawatif Menouni Hayar. Their work appears in journals such as Signal Processing, Optics Communications, Waves in Random and Complex Media, IEEE Transactions on Geoscience and Remote Sensing and Ultrasonics.

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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