Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Mixing beliefs among interacting agents
20001.3k citationsGuillaume Deffuant, Frédéric Amblard et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Frédéric Amblard
Since
Specialization
Citations
This map shows the geographic impact of Frédéric Amblard'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 Frédéric Amblard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Amblard more than expected).
Fields of papers citing papers by Frédéric Amblard
This network shows the impact of papers produced by Frédéric Amblard. 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 Frédéric Amblard. The network helps show where Frédéric Amblard may publish in the future.
Co-authorship network of co-authors of Frédéric Amblard
This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Amblard.
A scholar is included among the top collaborators of Frédéric Amblard 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 Frédéric Amblard. Frédéric Amblard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Moret, Stefano, Léda Gerber, Frédéric Amblard, Emanuela Peduzzi, & François Maréchal. (2015). Geothermal Energy and Biomass Integration in Urban Systems: a Case Study. Infoscience (Ecole Polytechnique Fédérale de Lausanne).4 indexed citations
Amblard, Frédéric. (2015). Geothermal energy integration in urban systems. The case study of the city of Lausanne.. Infoscience (Ecole Polytechnique Fédérale de Lausanne).3 indexed citations
9.
Gaudou, Benoît, Christophe Sibertin‐Blanc, Olivier Thérond, et al.. (2014). The MAELIA Multi-Agent Platform for Integrated Analysis of Interactions Between Agricultural Land-Use and Low-Water Management Strategies. Lecture notes in computer science. 85–100.6 indexed citations
10.
Amblard, Frédéric, et al.. (2014). To Calibrate & Validate an Agent-Based Simulation Model - An Application of the Combination Framework of BI solution & Multi-agent platform. HAL (Le Centre pour la Communication Scientifique Directe).1 indexed citations
11.
Amblard, Frédéric, et al.. (2014). Advances in Artificial Economics. Lecture notes in economics and mathematical systems.7 indexed citations
Amblard, Frédéric. (2003). Linked: The New Science of Networks by Albert-László Barabási .. Journal of Artificial Societies and Social Simulation. 6.2 indexed citations
19.
Amblard, Frédéric, et al.. (2003). MDA Compliant Design of SimExplorer A Software Tool to Handle Simulation Experimental Frameworks.3 indexed citations
20.
Deffuant, Guillaume, Frédéric Amblard, Gérard Weisbuch, & Thierry Faure. (2002). How can extremism prevail? A study based on the relative agreement interaction model. Journal of Artificial Societies and Social Simulation. 5(4). 1–1.320 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.