Nicolas Delbart

2.8k total citations
34 papers, 1.3k citations indexed

About

Nicolas Delbart is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Nicolas Delbart has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Global and Planetary Change, 17 papers in Ecology and 12 papers in Atmospheric Science. Recurrent topics in Nicolas Delbart's work include Remote Sensing in Agriculture (16 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Remote Sensing and LiDAR Applications (8 papers). Nicolas Delbart is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Remote Sensing and LiDAR Applications (8 papers). Nicolas Delbart collaborates with scholars based in France, Japan and United Kingdom. Nicolas Delbart's co-authors include Thuy Le Toan, Ghislain Picard, Laurent Kergoat, Julien L'Hermitte, S. Quegan, Ian Woodward, Mark R. Lomas, Hideki Kobayashi, Manuela Grippa and Sergio M. Vicente‐Serrano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Nicolas Delbart

30 papers receiving 1.3k citations

Peers

Nicolas Delbart

ECOLO

GPC

Rikie Suzuki Japan

Jyoteshwar Nagol United States

Bijian Tang China

Peggy Gross United States

Hongxiao Jin Sweden

Yhasmin Mendes de Moura Brazil

Sébastien Rapinel France

Christopher E. Holden United States

Matthew P. Dannenberg United States

Luc Bertels Belgium

Rikie Suzuki Japan

Nicolas Delbart

865 ×1.0

ECOLO

828 ×1.0

GPC

495 ×1.1

385 ×1.0

315 ×0.9

Citations per year, relative to Nicolas Delbart Nicolas Delbart (= 1×) peers Rikie Suzuki

Countries citing papers authored by Nicolas Delbart

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Delbart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Delbart

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

All Works

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20 of 20 papers shown

Delbart, Nicolas, et al.. (2025). Detection of degraded forests in Guinea, West Africa, using convolutional neural networks and Sentinel-2 time series. Frontiers in Remote Sensing. 6.

Delbart, Nicolas, et al.. (2024). Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V. Remote Sensing. 16(23). 4521–4521. 1 indexed citations

Kato, Tomomichi, et al.. (2024). Future projections of Siberian wildfire and aerosol emissions. Biogeosciences. 21(18). 4195–4227. 3 indexed citations

Delbart, Nicolas, et al.. (2024). Detection of Degraded Forests in Guinea, West Africa, Using Convolutional Neural Networks and Sentinel-2 Time Series. SPIRE - Sciences Po Institutional REpository. 369. 4452–4456. 1 indexed citations

Delbart, Nicolas, et al.. (2022). Detection of degraded forests in Guinea, West Africa, based on Sentinel-2 time series by inclusion of moisture-related spectral indices and neighbourhood effect. Remote Sensing of Environment. 281. 113230–113230. 11 indexed citations

Delbart, Nicolas, et al.. (2021). Recent hydrological evolutions of the Senegal River flood (West Africa). Hydrological Sciences Journal. 67(3). 385–400. 6 indexed citations

Delbart, Nicolas, et al.. (2021). Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-2. International Journal of Applied Earth Observation and Geoinformation. 104. 102569–102569. 7 indexed citations

Amélineau, Françoise, Nicolas Delbart, Philipp Schwemmer, et al.. (2021). Timing of spring departure of long distance migrants correlates with previous year's conditions at their breeding site. Biology Letters. 17(9). 20210331–20210331. 9 indexed citations

Delbart, Nicolas, et al.. (2015). Remote sensing of Andean mountain snow cover to forecast water discharge of Cuyo rivers. SHILAP Revista de lepidopterología. 103-2. 10 indexed citations

10.

Bétard, François, Nicolas Delbart, & Clément Piel. (2014). Cartographie de la susceptibilité aux glissements de terrain dans la région de Nova Friburgo (État de Rio de Janeiro, Brésil). Une étape vers l’évaluation et la gestion du risque. Bulletin de l Association de géographes français. 91(3). 276–288. 2 indexed citations

11.

Delbart, Nicolas, et al.. (2014). Influence des surfaces enneigées sur les débits de cours d’eau du piémont andin argentin. Bulletin de l Association de géographes français. 91(3). 338–354. 3 indexed citations

12.

Ottlé, Catherine, et al.. (2013). Use of various remote sensing land cover products for plant functional type mapping over Siberia. Earth system science data. 5(2). 331–348. 20 indexed citations

13.

Ottlé, Catherine, et al.. (2013). Use of various remote sensing land cover products for PFT mapping over Siberia.

14.

Wolf, Adam, Philippe Ciais, Valentin Bellassen, et al.. (2011). Forest biomass allometry in global land surface models. Global Biogeochemical Cycles. 25(3). n/a–n/a. 54 indexed citations

15.

Suzuki, Rikie, et al.. (2011). NDVI responses to the forest canopy and floor from spring to summer observed by airborne spectrometer in eastern Siberia. Remote Sensing of Environment. 115(12). 3615–3624. 31 indexed citations

16.

Delbart, Nicolas, Philippe Ciais, Jérôme Chave, et al.. (2010). Mortality as a key driver of the spatial distribution of aboveground biomass in Amazonian forest: results from a dynamic vegetation model. Biogeosciences. 7(10). 3027–3039. 56 indexed citations

17.

Sato, Hisashi, Hideki Kobayashi, & Nicolas Delbart. (2009). Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM. Forest Ecology and Management. 259(3). 301–311. 20 indexed citations

18.

Grippa, Manuela, et al.. (2006). Circulación atmosférica y variabilidad vegetal en Siberia Central (1982-2001). Dialnet (Universidad de la Rioja). 1 indexed citations

19.

Picard, Ghislain, S. Quegan, Nicolas Delbart, et al.. (2005). Bud‐burst modelling in Siberia and its impact on quantifying the carbon budget. Global Change Biology. 11(12). 2164–2176. 66 indexed citations

20.

Delbart, Nicolas, Laurent Kergoat, Thuy Le Toan, Julien L'Hermitte, & Ghislain Picard. (2005). Determination of phenological dates in boreal regions using normalized difference water index. Remote Sensing of Environment. 97(1). 26–38. 273 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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