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.
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
2012367 citationsUffe Kjærulff, Anders L. MadsenELARTU (Ternopil National Technical University)profile →
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 Uffe Kjærulff'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 Uffe Kjærulff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uffe Kjærulff more than expected).
This network shows the impact of papers produced by Uffe Kjærulff. 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 Uffe Kjærulff. The network helps show where Uffe Kjærulff may publish in the future.
Co-authorship network of co-authors of Uffe Kjærulff
This figure shows the co-authorship network connecting the top 25 collaborators of Uffe Kjærulff.
A scholar is included among the top collaborators of Uffe Kjærulff 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 Uffe Kjærulff. Uffe Kjærulff is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kjærulff, Uffe & Anders L. Madsen. (2012). Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis. ELARTU (Ternopil National Technical University).367 indexed citations breakdown →
4.
Kjærulff, Uffe & Anders L. Madsen. (2007). Bayesian Networks and Influence Diagrams. CERN Document Server (European Organization for Nuclear Research).236 indexed citations
5.
Jensen, Frank, Uffe Kjærulff, Michael Lang, & Anders L. Madsen. (2005). HUGIN - The Tool for Bayesian Networks and Influence Diagrams. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 212–221.23 indexed citations
6.
Madsen, Anders L., Frank Jensen, Uffe Kjærulff, & Michael Lang. (2005). THE HUGIN TOOL FOR PROBABILISTIC GRAPHICAL MODELS. International Journal of Artificial Intelligence Tools. 14(3). 507–543.70 indexed citations
7.
Kjærulff, Uffe & Anders L. Madsen. (2005). Probabilistic Networks - An Introduction to Bayesian Networks and Influence Diagrams. VBN Forskningsportal (Aalborg Universitet).38 indexed citations
8.
Madsen, Anders L., et al.. (2004). Applications of Probabilistic Graphical Models to Diagnosis and Control of Autonomous Vehicles. VBN Forskningsportal (Aalborg Universitet).5 indexed citations
9.
Kjærulff, Uffe & Anders L. Madsen. (2004). A methodology for acquiring qualitative knowledge for probabilistic graphical models. VBN Forskningsportal (Aalborg Universitet).2 indexed citations
10.
Kjærulff, Uffe, Christopher Meek, Adnan Darwiche, & Nir Friedman. (2003). Uncertainty in artificial intelligence : proceedings of the nineteenth conference (2003), August 7-10, 2003, Acapulco, Mexico.12 indexed citations
11.
Meek, C. E. & Uffe Kjærulff. (2003). UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, August 7-10 2003, Acapulco, Mexico. Uncertainty in Artificial Intelligence.2 indexed citations
12.
Jensen, Finn V., et al.. (2001). The SACSO System for Troubleshooting of Printing Systems. VBN Forskningsportal (Aalborg Universitet). 67–79.10 indexed citations
13.
Coupé, Veerle M.H., Finn V. Jensen, Uffe Kjærulff, & Linda C. van der Gaag. (2000). A Computational Architecture for N-Way Sensitivity Analysis of Bayesian Networks. VBN Forskningsportal (Aalborg Universitet).9 indexed citations
14.
Jensen, Finn V., et al.. (1999). Acquisition and Transformation of Likelihoods to Conditional Probabilities for Bayesian Networks. VBN Forskningsportal (Aalborg Universitet).3 indexed citations
15.
Kjærulff, Uffe, et al.. (1995). Hybrid Propagation in Junction Trees. VBN Forskningsportal (Aalborg Universitet).6 indexed citations
Andreassen, Steen, et al.. (1990). A causal probabilistic network model of carbohydrate metabolism in diabetes. VBN Forskningsportal (Aalborg Universitet).1 indexed citations
20.
Andersen, Søren Due, Steen Andreassen, Johan A. K. Suykens, et al.. (1988). MUNIN:an expert EMG assistant. VBN Forskningsportal (Aalborg Universitet).26 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.