C. Lavalley

3.2k total citations
10 papers, 136 citations indexed

About

C. Lavalley is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Networks and Communications. According to data from OpenAlex, C. Lavalley has authored 10 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Astronomy and Astrophysics, 3 papers in Instrumentation and 2 papers in Computer Networks and Communications. Recurrent topics in C. Lavalley's work include Stellar, planetary, and galactic studies (4 papers), Astrophysics and Star Formation Studies (3 papers) and Astronomy and Astrophysical Research (3 papers). C. Lavalley is often cited by papers focused on Stellar, planetary, and galactic studies (4 papers), Astrophysics and Star Formation Studies (3 papers) and Astronomy and Astrophysical Research (3 papers). C. Lavalley collaborates with scholars based in France, United States and Mexico. C. Lavalley's co-authors include Cécile Antin, Marilyne Laurans, Jean Dauzat, Sylvie Durrieu, Grégoire Vincent, S. Cabrit, C. Dougados, A. C. Raga, Christine Allen and Arcadio Poveda and has published in prestigious journals such as Remote Sensing of Environment, Astronomy and Astrophysics and Journal of Physics Conference Series.

In The Last Decade

C. Lavalley

9 papers receiving 135 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C. Lavalley France	5	57	55	49	34	26	10	136
Daniel Cunningham United States	5	42 0.7×	15 0.3×	22 0.4×	8 0.2×	29 1.1×	8	88
J. G. Firth United Kingdom	8	49 0.9×	11 0.2×	11 0.2×	31 0.9×	30 1.2×	13	135
Zachary Langford United States	8	16 0.3×	26 0.5×	65 1.3×	6 0.2×	45 1.7×	10	156
G. Larosa Spain	8	22 0.4×	14 0.3×	94 1.9×	12 0.4×	14 0.5×	16	178
D. B. Reisenfeld United States	5	139 2.4×	13 0.2×	14 0.3×	7 0.2×	18 0.7×	8	181
M. Bou-Cabo Spain	7	22 0.4×	17 0.3×	37 0.8×	6 0.2×	14 0.5×	29	131
Jason Young United States	5	130 2.3×	3 0.1×	18 0.4×	5 0.1×	26 1.0×	12	179
D. L. Wood United Kingdom	7	83 1.5×	4 0.1×	17 0.3×	5 0.1×	18 0.7×	25	185
Pierluigi Cerulo Chile	11	250 4.4×	10 0.2×	23 0.5×	3 0.1×	7 0.3×	21	263
Klemen Čotar Slovenia	7	66 1.2×	21 0.4×	18 0.4×		15 0.6×	17	119

Countries citing papers authored by C. Lavalley

Since Specialization

Citations

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

Fields of papers citing papers by C. Lavalley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Lavalley

This figure shows the co-authorship network connecting the top 25 collaborators of C. Lavalley. A scholar is included among the top collaborators of C. Lavalley 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 C. Lavalley. C. Lavalley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Vincent, Grégoire, Cécile Antin, Marilyne Laurans, et al.. (2017). Mapping plant area index of tropical evergreen forest by airborne laser scanning. A cross-validation study using LAI2200 optical sensor. Remote Sensing of Environment. 198. 254–266. 70 indexed citations

Dauzat, Jean, et al.. (2016). How much commercial timber in your plot, how much carbon sequestrated in the trees, how much light available for undercrops? Terrestrial lidar is the right technology for addressing these questions. Abstract number 71. Agritrop (Cirad). 1 indexed citations

Arrabito, Luisa, C. Barbier, R. Graciani Diaz, et al.. (2012). Application of the DIRAC framework to CTA: first evaluation. Journal of Physics Conference Series. 396(3). 32007–32007. 4 indexed citations

Zimmer, S., et al.. (2012). The Fermi-LAT Dataprocessing Pipeline. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

Raga, A. C., S. Cabrit, C. Dougados, & C. Lavalley. (2001). A precessing, variable velocity jet model for DG Tauri. Astronomy and Astrophysics. 367(3). 959–966. 26 indexed citations

Ménard, F., C. Dougados, Gaspard Duchêne, et al.. (2000). <title>Studying the star formation process with adaptive optics</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4007. 816–826.

Dougados, C., S. Cabrit, C. Lavalley, & F. Ménard. (2000). T Tauri stars microjets resolved by adaptive optics. 357. 7 indexed citations

Lavalley, C., S. Cabrit, C. Dougados, Pierre Ferruit, & Roland Bacon. (1997). Sub-arcsecond morphology and kinematics of the DGTauri jet in the (OI)6300 line ?. 327(2). 671–680. 2 indexed citations

Poveda, Arcadio, Christine Allen, Miguel Ángel Herrera, G. Cordero, & C. Lavalley. (1996). Kinematics, ages, and evolutionary status of UV Ceti stars.. 308(1). 55–65. 1 indexed citations

10.

Poveda, Arcadio, Miguel Ángel Herrera, Christine Allen, G. Cordero, & C. Lavalley. (1994). Statistical studies of visual double and multiple stars. II. A catalogue of nearby wide binary and multiple systems.. 28(1). 43–89. 24 indexed citations

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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