J.-P. Le Cadre

83 total papers · 1.8k total citations
48 papers, 1.3k citations indexed

About

J.-P. Le Cadre is a scholar working on Artificial Intelligence, Signal Processing and Aerospace Engineering. According to data from OpenAlex, J.-P. Le Cadre has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 15 papers in Signal Processing and 11 papers in Aerospace Engineering. Recurrent topics in J.-P. Le Cadre's work include Target Tracking and Data Fusion in Sensor Networks (34 papers), Structural Health Monitoring Techniques (10 papers) and Gaussian Processes and Bayesian Inference (6 papers). J.-P. Le Cadre is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (34 papers), Structural Health Monitoring Techniques (10 papers) and Gaussian Processes and Bayesian Inference (6 papers). J.-P. Le Cadre collaborates with scholars based in France, United Kingdom and United States. J.-P. Le Cadre's co-authors include Carine Hue, Patrick Pérez, Claude Jauffret, Patrick Bouthémy and Sébastien Paris and has published in prestigious journals such as Automatica, IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

J.-P. Le Cadre

44 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
J.-P. Le Cadre	866	394	306	273	228	48	1.3k
Roy L. Streit	904 1.0×	288 0.7×	164 0.5×	280 1.0×	167 0.7×	76	1.4k
Ángel F. García‐Fernández	1.3k 1.5×	556 1.4×	195 0.6×	385 1.4×	245 1.1×	102	1.7k
D.C. Cooper	728 0.8×	454 1.2×	125 0.4×	261 1.0×	327 1.4×	33	1.3k
Chris Kreucher	889 1.0×	444 1.1×	309 1.0×	536 2.0×	137 0.6×	64	1.4k
J. Vermaak	869 1.0×	288 0.7×	651 2.1×	173 0.6×	444 1.9×	37	1.7k
Christian Lundquist	932 1.1×	529 1.3×	165 0.5×	140 0.5×	233 1.0×	36	1.2k
T. Kirubarajan	1.3k 1.5×	730 1.9×	133 0.4×	457 1.7×	250 1.1×	59	1.8k
Jian Lan	917 1.1×	524 1.3×	124 0.4×	211 0.8×	225 1.0×	108	1.3k
Marcus Baum	1.2k 1.4×	685 1.7×	366 1.2×	171 0.6×	264 1.2×	120	1.6k
Hongbing Ji	590 0.7×	550 1.4×	341 1.1×	91 0.3×	200 0.9×	139	1.3k

Countries citing papers authored by J.-P. Le Cadre

Since Specialization

Citations

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

Fields of papers citing papers by J.-P. Le Cadre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-P. Le Cadre. 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 J.-P. Le Cadre. The network helps show where J.-P. Le Cadre may publish in the future.

Co-authorship network of co-authors of J.-P. Le Cadre

This figure shows the co-authorship network connecting the top 25 collaborators of J.-P. Le Cadre. A scholar is included among the top collaborators of J.-P. Le Cadre 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 J.-P. Le Cadre. J.-P. Le Cadre 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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