Véronique Lefebvre

1.3k total citations
17 papers, 577 citations indexed

About

Véronique Lefebvre is a scholar working on Cognitive Neuroscience, Global and Planetary Change and Nature and Landscape Conservation. According to data from OpenAlex, Véronique Lefebvre has authored 17 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Global and Planetary Change and 3 papers in Nature and Landscape Conservation. Recurrent topics in Véronique Lefebvre's work include Neural dynamics and brain function (4 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Human Mobility and Location-Based Analysis (2 papers). Véronique Lefebvre is often cited by papers focused on Neural dynamics and brain function (4 papers), Ecology and Vegetation Dynamics Studies (3 papers) and Human Mobility and Location-Based Analysis (2 papers). Véronique Lefebvre collaborates with scholars based in United Kingdom, France and United States. Véronique Lefebvre's co-authors include Paul G. Overton, John E. W. Mayhew, John Martindale, Eleanor J. Dommett, Véronique Coizet, N Walton, Robert M. Ewers, Charles D. Blaha, Peter Redgrave and Marion Pfeifer and has published in prestigious journals such as Science, The Science of The Total Environment and The Journal of Physical Chemistry C.

In The Last Decade

Véronique Lefebvre

16 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Véronique Lefebvre United Kingdom 9 160 135 130 116 88 17 577
Fangyi Wang China 10 130 0.8× 168 1.2× 67 0.5× 39 0.3× 108 1.2× 29 744
Takashi Kawai Japan 18 282 1.8× 91 0.7× 54 0.4× 97 0.8× 256 2.9× 124 1.2k
Lisa A. Kelly United States 13 74 0.5× 87 0.6× 215 1.7× 78 0.7× 197 2.2× 23 1.3k
Yanpeng Li China 17 55 0.3× 50 0.4× 23 0.2× 70 0.6× 79 0.9× 62 680
Cunguo Wang China 19 68 0.4× 164 1.2× 13 0.1× 122 1.1× 73 0.8× 50 1.7k
Minhua Zhang China 12 66 0.4× 54 0.4× 40 0.3× 66 0.6× 47 0.5× 37 907
William H. Batschelet United States 6 61 0.4× 68 0.5× 63 0.5× 109 0.9× 194 2.2× 6 515
Kathleen M. Carter United States 6 140 0.9× 63 0.5× 76 0.6× 235 2.0× 106 1.2× 6 563
Christoph Hahn Germany 13 46 0.3× 154 1.1× 18 0.1× 81 0.7× 74 0.8× 41 605
Yuichi Takeuchi Japan 23 230 1.4× 23 0.2× 37 0.3× 89 0.8× 96 1.1× 81 1.3k

Countries citing papers authored by Véronique Lefebvre

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Lefebvre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Lefebvre

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

All Works

17 of 17 papers shown
1.
Jolimaître, Elsa, et al.. (2024). SEM Image Processing Assisted by Deep Learning to Quantify Mesoporous γ-Alumina Spatial Heterogeneity and Its Predicted Impact on Mass Transfer. The Journal of Physical Chemistry C. 128(20). 8395–8407. 3 indexed citations
2.
Medeiros-Costa, Izabel C., Dorothea Wisser, Anne Lesage, et al.. (2024). Connectivity assessment in hierarchical zeolites by correlating nuclear magnetic resonance, electron microscopy/tomography and adsorption scanning. Materials Chemistry and Physics. 315. 128969–128969. 3 indexed citations
3.
Rouchon, Virgile, et al.. (2022). Quantification and morphological characterization of microfibers emitted from textile washing. The Science of The Total Environment. 832. 154973–154973. 36 indexed citations
4.
Lefebvre, Véronique, et al.. (2021). Optimising sampling designs for habitat fragmentation studies. Methods in Ecology and Evolution. 13(1). 217–229. 6 indexed citations
5.
Qader, Sarchil, Véronique Lefebvre, Andrew J. Tatem, et al.. (2021). Semi-automatic mapping of pre-census enumeration areas and population sampling frames. Humanities and Social Sciences Communications. 8(1). 8 indexed citations
6.
Qader, Sarchil, Véronique Lefebvre, Andrew J. Tatem, et al.. (2020). Using gridded population and quadtree sampling units to support survey sample design in low-income settings. International Journal of Health Geographics. 19(1). 10–10. 14 indexed citations
7.
Qader, Sarchil, Véronique Lefebvre, Kristen Himelein, et al.. (2019). A Novel Approach to the Automatic Designation of Predefined Census Enumeration Areas and Population Sampling Frames: A Case Study in Somalia. World Bank, Washington, DC eBooks. 4 indexed citations
8.
Schneider‐Maunoury, Laure, Véronique Lefebvre, Robert M. Ewers, et al.. (2016). Abundance signals of amphibians and reptiles indicate strong edge effects in Neotropical fragmented forest landscapes. Biological Conservation. 200. 207–215. 54 indexed citations
9.
Pfeifer, Marion, Véronique Lefebvre, Edgar C. Turner, et al.. (2015). Deadwood biomass: an underestimated carbon stock in degraded tropical forests?. Environmental Research Letters. 10(4). 44019–44019. 65 indexed citations
10.
Pfeifer, Marion, Véronique Lefebvre, Alemu Gonsamo, et al.. (2014). Validating and Linking the GIMMS Leaf Area Index (LAI3g) with Environmental Controls in Tropical Africa. Remote Sensing. 6(3). 1973–1990. 30 indexed citations
11.
Lefebvre, Véronique. (2013). Biodiversity responses to fragmentation revealed by novel landscape analysis.
12.
Ewers, Robert M., Raphaël K. Didham, William D. Pearse, et al.. (2013). Using landscape history to predict biodiversity patterns in fragmented landscapes. Ecology Letters. 16(10). 1221–1233. 63 indexed citations
13.
Langley, Keith, Véronique Lefebvre, & Stephen J. Anderson. (2009). Cascaded Bayesian processes: An account of bias in orientation perception. Vision Research. 49(20). 2453–2474. 2 indexed citations
14.
Lefebvre, Véronique, Ying Zheng, Chris Martin, et al.. (2009). A Dynamic Causal Model of the Coupling Between Pulse Stimulation and Neural Activity. Neural Computation. 21(10). 2846–2868. 2 indexed citations
15.
Lambert, Arnold, et al.. (2009). Synthesis and characterization of bimetallic Fe/Mn oxides for chemical looping combustion. Energy Procedia. 1(1). 375–381. 68 indexed citations
16.
Lefebvre, Véronique, Ying Zheng, Ian M. Devonshire, Chris Martin, & John E. W. Mayhew. (2007). Investigating the Coupling between Stimulation and Neural Activity: a Dynamic Modeling Approach. PubMed. 2007. 1105–1108. 1 indexed citations
17.
Dommett, Eleanor J., Véronique Coizet, Charles D. Blaha, et al.. (2005). How Visual Stimuli Activate Dopaminergic Neurons at Short Latency. Science. 307(5714). 1476–1479. 218 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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