This map shows the geographic impact of Éric Penot'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 Éric Penot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Penot more than expected).
This network shows the impact of papers produced by Éric Penot. 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 Éric Penot. The network helps show where Éric Penot may publish in the future.
Co-authorship network of co-authors of Éric Penot
This figure shows the co-authorship network connecting the top 25 collaborators of Éric Penot.
A scholar is included among the top collaborators of Éric Penot 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 Éric Penot. Éric Penot is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Penot, Éric, et al.. (2018). Savoirs locaux et stratégies paysannes autour de la fertilité des sols au lac Alaotra, Madagascar. Agritrop (Cirad).1 indexed citations
Penot, Éric, et al.. (2014). Utilisation d'indicateurs économiques pertinents pour l'évaluation des systèmes de production agricoles en termes de résilience, vulnérabilité et durabilité : le cas de la région du lac Alaotra à Madagascar. Agritrop (Cirad). 11(1).2 indexed citations
11.
Penot, Éric. (2011). Exploitations agricoles, stratégies paysannes et politiques publiques : les apports du modèle Olympe. Agritrop (Cirad).2 indexed citations
12.
Penot, Éric & Olivier Deheuvels. (2007). Modélisation économique des exploitations agricoles : modélisation, simulation et aide à la décision avec le logiciel Olympe. HAL (Le Centre pour la Communication Scientifique Directe).8 indexed citations
13.
Wibawa, Gede, Laxman Joshi, Meine van Noordwijk, & Éric Penot. (2006). Rubber based Agroforestry Systems (RAS) as Alternatives for Rubber Monoculture System. Agritrop (Cirad).17 indexed citations
14.
Bonté, Bruno, Éric Penot, Christophe Le Page, & Jean–François Tourrand. (2005). Linking a farming system modelling tool (Olympe) with a multi-agent-system software (Cormas) in order to understand resources uses in agricultural complex systems. Agritrop (Cirad).2 indexed citations
15.
Penot, Éric, et al.. (1999). Les agroforêts à hévéas améliorées en Indonésie : mythe ou réalité. Agritrop (Cirad). 6(6). 400–414.1 indexed citations
16.
Penot, Éric. (1996). Sustainability through productivity improvement of Indonesian rubber based agroforestry systems. Rubber Agroforestry Systems (RAS) as a sustainable alternative for rubber smallholder in Indonesia taking into account biodiversity and environmental concerns. Agritrop (Cirad).
17.
Penot, Éric. (1995). Taking the 'jungle' out of the rubber. Improving rubber in Indonesian agroforestry systems. Agritrop (Cirad). 7. 11–13.11 indexed citations
18.
Penot, Éric, et al.. (1994). Rubber clones index in Indonesia. Agritrop (Cirad).1 indexed citations
19.
Penot, Éric. (1994). The non-project rubber smallholder sector in Indonésia: Rubber Agroforestry Systems (RAS) as a challenge for the improvement of rubber productivity, rubber based systems sustainability, biodiversity and environment. Agritrop (Cirad).1 indexed citations
20.
Penot, Éric, et al.. (1994). Field trip to West Kalimantan. Mission report. Identification of smallholder rubber agroforestry systems : sustainable alternatives. Agritrop (Cirad).
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.