P. Lavoie

48 total papers · 769 total citations
34 papers, 530 citations indexed

About

P. Lavoie is a scholar working on Artificial Intelligence, Signal Processing and Aerospace Engineering. According to data from OpenAlex, P. Lavoie has authored 34 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Signal Processing and 12 papers in Aerospace Engineering. Recurrent topics in P. Lavoie's work include Neural Networks and Applications (11 papers), Icing and De-icing Technologies (9 papers) and Blind Source Separation Techniques (6 papers). P. Lavoie is often cited by papers focused on Neural Networks and Applications (11 papers), Icing and De-icing Technologies (9 papers) and Blind Source Separation Techniques (6 papers). P. Lavoie collaborates with scholars based in Canada, France and United States. P. Lavoie's co-authors include Yvon Savaria, Éric Granger, Stephen Grossberg, Éric Laurendeau, David Haccoun, Mark A. Rubin, S. Haykin, Vikram Krishnamurthy, Gilles Ausias and J. F. Agassant and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.

In The Last Decade

P. Lavoie

34 papers receiving 490 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P. Lavoie	192	149	127	81	72	34	530
H.H. Loomis	127 0.7×	67 0.4×	218 1.7×	261 3.2×	55 0.8×	35	596
H.J. Whitehouse	58 0.3×	41 0.3×	211 1.7×	126 1.6×	122 1.7×	43	572
Miloš Drutarovský	158 0.8×	111 0.7×	202 1.6×	22 0.3×	39 0.5×	56	526
Stefan Schirra	62 0.3×	30 0.2×	52 0.4×	99 1.2×	117 1.6×	40	537
Seung Chung	155 0.8×	34 0.2×	109 0.9×	8 0.1×	48 0.7×	29	589
Yu Jiang	297 1.5×	86 0.6×	186 1.5×	108 1.3×	4 0.1×	56	563
Lin Zhao	75 0.4×	152 1.0×	85 0.7×	34 0.4×	25 0.3×	30	465
Aaron Kiely	149 0.8×	44 0.3×	134 1.1×	62 0.8×	16 0.2×	47	530
Kushal Mukherjee	122 0.6×	41 0.3×	45 0.4×	85 1.0×	17 0.2×	42	460
Bocheng Zhu	176 0.9×	311 2.1×	305 2.4×	51 0.6×	8 0.1×	68	607

Countries citing papers authored by P. Lavoie

Since Specialization

Citations

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

Fields of papers citing papers by P. Lavoie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Lavoie

This figure shows the co-authorship network connecting the top 25 collaborators of P. Lavoie. A scholar is included among the top collaborators of P. Lavoie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Lavoie. P. Lavoie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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