V.C.E. Laurent

601 total citations
8 papers, 334 citations indexed

About

V.C.E. Laurent is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, V.C.E. Laurent has authored 8 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 6 papers in Environmental Engineering and 5 papers in Global and Planetary Change. Recurrent topics in V.C.E. Laurent's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (5 papers) and Species Distribution and Climate Change (3 papers). V.C.E. Laurent is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (5 papers) and Species Distribution and Climate Change (3 papers). V.C.E. Laurent collaborates with scholars based in Switzerland, Netherlands and France. V.C.E. Laurent's co-authors include Michael E. Schaepman, W. Verhoef, J.G.P.W. Clevers, Alexander Damm, Luis Guanter, Anke Schickling, Roberto O. Chávez, Uwe Rascher and R. Zurita‐Milla and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Applied Earth Observation and Geoinformation and Zurich Open Repository and Archive (University of Zurich).

In The Last Decade

V.C.E. Laurent

7 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V.C.E. Laurent Switzerland	6	312	194	157	89	48	8	334
Pablo Morcillo-Pallarés Spain	9	287 0.9×	136 0.7×	141 0.9×	103 1.2×	41 0.9×	11	361
Y. Knyazikhin United States	3	359 1.2×	193 1.0×	208 1.3×	160 1.8×	31 0.6×	3	396
Eric Chavanon France	8	292 0.9×	198 1.0×	212 1.4×	80 0.9×	31 0.6×	15	402
Feng Qiu China	11	292 0.9×	174 0.9×	98 0.6×	178 2.0×	22 0.5×	29	373
Si Gao China	9	241 0.8×	144 0.7×	153 1.0×	52 0.6×	28 0.6×	18	323
Alberte Fischer France	7	262 0.8×	159 0.8×	125 0.8×	63 0.7×	44 0.9×	8	310
Jiabin Pu China	9	239 0.8×	153 0.8×	136 0.9×	68 0.8×	27 0.6×	17	315
Pablo Reyes-Muñoz Spain	7	177 0.6×	89 0.5×	95 0.6×	68 0.8×	23 0.5×	11	242
Abebe Mohammed Ali Netherlands	10	431 1.4×	224 1.2×	175 1.1×	199 2.2×	87 1.8×	16	488
Raffaella Franco Netherlands	4	227 0.7×	228 1.2×	74 0.5×	56 0.6×	15 0.3×	8	347

Countries citing papers authored by V.C.E. Laurent

Since Specialization

Citations

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

Fields of papers citing papers by V.C.E. Laurent

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V.C.E. Laurent

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

All Works

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8 of 8 papers shown

Zurita‐Milla, R., et al.. (2015). Visualizing the ill-posedness of the inversion of a canopy radiative transfer model: A case study for Sentinel-2. International Journal of Applied Earth Observation and Geoinformation. 43. 7–18. 22 indexed citations

Damm, Alexander, Luis Guanter, V.C.E. Laurent, et al.. (2014). FLD-based retrieval of sun-induced chlorophyll fluorescence from medium spectral resolution airborne spectroscopy data. Remote Sensing of Environment. 147. 256–266. 84 indexed citations

Laurent, V.C.E., W. Verhoef, Alexander Damm, Michael E. Schaepman, & J.G.P.W. Clevers. (2013). A Bayesian object-based approach for estimating vegetation biophysical and biochemical variables from APEX at-sensor radiance data. Remote Sensing of Environment. 139. 6–17. 52 indexed citations

Laurent, V.C.E., et al.. (2013). Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image. Remote Sensing of Environment. 140. 318–329. 70 indexed citations

Laurent, V.C.E., W. Verhoef, Michael E. Schaepman, Alexander Damm, & J.G.P.W. Clevers. (2012). Mapping LAI and chlorophyll content from at-sensor APEX data using a Bayesian optimisation of a coupled canopy-atmosphere model. Zurich Open Repository and Archive (University of Zurich). 5685–5688. 2 indexed citations

Laurent, V.C.E., W. Verhoef, J.G.P.W. Clevers, & Michael E. Schaepman. (2011). Estimating forest variables from top-of-atmosphere radiance satellite measurements using coupled radiative transfer models. Remote Sensing of Environment. 115(4). 1043–1052. 56 indexed citations

Laurent, V.C.E., W. Verhoef, J.G.P.W. Clevers, & Michael E. Schaepman. (2011). Inversion of a coupled canopy–atmosphere model using multi-angular top-of-atmosphere radiance data: A forest case study. Remote Sensing of Environment. 115(10). 2603–2612. 48 indexed citations

Laurent, V.C.E., W. Verhoef, J.G.P.W. Clevers, & Michael E. Schaepman. (2010). Estimating forest parameters from top-of-atmosphere radiance measurements using coupled radiative transfer models. Socio-Environmental Systems Modeling. 8–8.

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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