The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Lionel Jarlan sits on this spectrum.
This scientist: 205 publications — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 687 publications or more.
The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Lionel Jarlan sits on this spectrum.
This scientist: 47 D-Index — 42nd percentile
42% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 125 D-Index or more.
Lionel Jarlan is affiliated with the Institut de Recherche pour le Développement in France. Their research focuses primarily on environmental science, with a significant emphasis on subfields including global and planetary change, environmental engineering, atmospheric science, water science and technology, and ecology, evolution, behavior, and systematics.
The main topics covered in Jarlan's work include plant water relations and carbon dynamics, soil moisture and remote sensing, hydrology and watershed management studies, precipitation measurement and analysis, climate change impacts on agriculture, remote sensing in agriculture, and irrigation practices and water management.
Jarlan has contributed to a variety of publication venues. Frequent outlets for their work include Remote Sensing, SSRN Electronic Journal, Remote Sensing of Environment, Hydrology and Earth System Sciences, and Agricultural Water Management.
Some of their recent research papers are:
Throughout their career, Jarlan has collaborated with several frequent coauthors, including Saïd Khabba, Michel Le Page, Jamal Ezzahar, Salah Er-Raki, and Nadia Ouaadi.
Their body of work integrates environmental monitoring with advanced remote sensing techniques, addressing agricultural water management and climate change effects on agroecosystems. This interdisciplinary approach combines field data, satellite observations, and machine learning methodologies to enhance understanding of drought impacts and irrigation practices.
Yves Tramblay;Aristeidis Koutroulis;Luis Samaniego;Sergio M. Vicente-Serrano
Souhail Boussetta;Gianpaolo Balsamo;Anton Beljaars;Tomas Kral
Aaron Boone;Patricia de Rosnay;Gianpaolo Balsamo;Anton Beljaars
Joaquín Muñoz Sabater;Lionel Jarlan;Jean-Christophe Calvet;François Bouyssel
Simon Gascoin;Olivier Hagolle;Mireille Huc;Lionel Jarlan
E. Mougin;P. Hiernaux;L. Kergoat;M. Grippa
J. Toumi;S. Er-Raki;J. Ezzahar;S. Khabba
Christian Massari;Sara Modanesi;Jacopo Dari;Alexander Gruber
Anne-Laure Gibelin;Jean-Christophe Calvet;Jean-Louis Roujean;Lionel Jarlan
Souhail Boussetta;Gianpaolo Balsamo;Anton Beljaars;Anna‐Agusti Panareda
S. Er-Raki;A. Chehbouni;S. Khabba;V. Simonneaux
Hamza Ouatiki;Abdelghani Boudhar;Yves Tramblay;Lionel Jarlan
A. Marchane;L. Jarlan;L. Hanich;A. Boudhar
J. Chirouze;G. Boulet;L. Jarlan;R. Fieuzal
L. Jarlan;S. Khabba;S. Er-Raki;M. Le Page
Ahmed Marchane;Yves Tramblay;Lahoucine Hanich;Denis Ruelland
Mohamed Hakim Kharrou;Salah Er-Raki;Ahmed Chehbouni;Benoit Duchemin
Elhoussaine Bouras;Lionel Jarlan;Said Khabba;Salah Er-Raki
Lionel Jarlan;Gianpaolo Balsamo;Sébastien Lafont;Anton Beljaars
Joaquín Muñoz Sabater;Christoph Rüdiger;Jean-Christophe Calvet;Noureddine Fritz
L. Jarlan;S. Mangiarotti;E. Mougin;P. Mazzega
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