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.
Fuzzy sets in approximate reasoning, Part 1: Inference with possibility distributions
1991528 citationsDidier Dubois, Henri Pradeprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Henri Prade'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 Henri Prade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henri Prade more than expected).
This network shows the impact of papers produced by Henri Prade. 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 Henri Prade. The network helps show where Henri Prade may publish in the future.
Co-authorship network of co-authors of Henri Prade
This figure shows the co-authorship network connecting the top 25 collaborators of Henri Prade.
A scholar is included among the top collaborators of Henri Prade 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 Henri Prade. Henri Prade is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Prade, Henri & Gilles Richard. (2024). Analogical proportion-based induction: from classification to creativity. SPIRE - Sciences Po Institutional REpository.1 indexed citations
Prade, Henri & Gilles Richard. (2012). Homogeneous logical proportions: their uniqueness and their role in similarity-based prediction. UTS ePRESS (University of Technology Sydney). 402–412.7 indexed citations
5.
Denœux, Thierry, et al.. (2006). Philippe Smets (1938–2005). International Journal of Approximate Reasoning. 41(3). iii–viii.1 indexed citations
6.
Dubois, Didier & Henri Prade. (2005). Interval-valued Fuzzy Sets, Possibility Theory and Imprecise Probability. European Society for Fuzzy Logic and Technology Conference. 314–319.62 indexed citations
7.
Amgoud, Leïla & Henri Prade. (2005). Handling threats, rewards, and explanatory arguments in a unified setting: Research Articles. Journal of Intelligent Systems. 20(12). 1195–1218.5 indexed citations
Dubois, Didier, Eyke Hüllermeier, & Henri Prade. (2003). A Note on Quality Measures for Fuzzy Asscociation Rules.. 346–353.2 indexed citations
10.
Dubois, Didier, Henri Prade, & Philippe Smets. (2001). New semantics for quantitative possibility theory.. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 152–161.3 indexed citations
11.
Papamichail, K N & Henri Prade. (1998). Explaining and Justifying Decision Support Advice in Intuitive Terms. Research Explorer (The University of Manchester). 102–103.6 indexed citations
Prade, Henri & Claudette Testemale. (1989). The Possibilistic Approach to the Handling of Imprecison in Database Systems.. IEEE Data(base) Engineering Bulletin. 12. 4–10.4 indexed citations
19.
Prade, Henri, et al.. (1986). Uncertainty Handling and Fuzzy Logic Control in Navigation Problems. 218–225.12 indexed citations
20.
Prade, Henri, et al.. (1986). Approximate Reasoning in a Rule-Based Expert System using Possibility Theory: A Case Study.. IFIP Congress. 407–414.17 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.