Institution · Hugin Expert (Denmark)
Most cited papers from Hugin Expert (Denmark)
What are the most cited papers from Hugin Expert (Denmark)?
The most cited paper from Hugin Expert (Denmark) is "Building large-scale Bayesian networks" (Martin Neil, Norman Fenton, Lars Nielson, 2000), with 287 citations. Next come "Selecting methods for ecosystem service assessment: A decision tree approach" (250) and "Stable local computation with conditional Gaussian distributions" (240).
Showing 50 of 60 papers. Every paper with more than 5 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Building large-scale Bayesian networks Martin Neil, Norman Fenton, Lars Nielson · The Knowledge Engineering Review | Sep 2000 | 287 |
| 2 | Selecting methods for ecosystem service assessment: A decision tree approach Paula A. Harrison et al. · Ecosystem Services | 23 Oct 2017 | 250 |
| 3 | Stable local computation with conditional Gaussian distributions Steffen Lilholt Lauritzen, Frank Jensen · Statistics and Computing | Apr 2001 | 240 |
| 4 | Creating urban green infrastructure where it is needed – A spatial ecosystem service-based decision analysis of green roofs in Barcelona Johannes Langemeyer, Diego Wedgwood, Timon McPhearson et al. · The Science of The Total Environment | 14 Nov 2019 | 236 |
| 5 | Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes Galia Weidl, Anders Læsø Madsen, S. Israelson · Computers & Chemical Engineering | 20 Jul 2005 | 153 |
| 6 | The Hugin Tool for Learning Bayesian Networks Anders Læsø Madsen, Michael Lang, Uffe B. Kjærulff et al. · Lecture notes in computer science | 2003 | 106 |
| 7 | THE HUGIN TOOL FOR PROBABILISTIC GRAPHICAL MODELS Anders Læsø Madsen, Frank Jensen, Uffe B. Kjærulff et al. · International Journal of Artificial Intelligence Tools | Jun 2005 | 103 |
| 8 | A parallel algorithm for Bayesian network structure learning from large data sets Anders Læsø Madsen, Frank Jensen, Antonio Salmerón et al. · Knowledge-Based Systems | 26 Jul 2016 | 84 |
| 9 | Maximal prime subgraph decomposition of Bayesian networks. K G Olesen, A L Madsen · PubMed | 2002 | 73 |
| 10 | A Review of Inference Algorithms for Hybrid Bayesian Networks Antonio Salmerón, Rafael Rumí, Helge Langseth et al. · Journal of Artificial Intelligence Research | 30 Aug 2018 | 58 |
| 11 | Model predictive control for a heat booster substation in ultra low temperature district heating systems Rune Hermansen, Kevin Michael Smith, Jan Eric Thorsen et al. · Energy | 2 Aug 2021 | 48 |
| 12 | Operationalising ecosystem service assessment in Bayesian Belief Networks: Experiences within the OpenNESS project Ron I. Lewis Smith et al. · Ecosystem Services | 20 Nov 2017 | 46 |
| 13 | Assessing ecosystem services from multifunctional trees in pastures using Bayesian belief networks David Nicholas Barton, Tamara Benjamín, Carlos R. Cerdán et al. · Ecosystem Services | 30 Mar 2016 | 40 |
| 14 | A causal probabilistic network for optimal treatment of bacterial infections Leonard Leibovici, Michael D. C. Fishman, Henrik Carl Schønheyder et al. · IEEE Transactions on Knowledge and Data Engineering | 2000 | 40 |
| 15 | Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river David Nicholas Barton, Håkon Sundt, Ana Adeva Bustos et al. · Environmental Modelling & Software | 13 Dec 2019 | 39 |
| 16 | Variations over the message computation algorithm of lazy propagation Anders Læsø Madsen · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) | 25 May 2006 | 33 |
| 17 | Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning Thomas Carta, Clément Romac, Thomas Wolf et al. · arXiv (Cornell University) | 2 Feb 2023 | 31 |
| 18 | Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence S. Jannicke Moe, Anders Læsø Madsen, Kristin A. Connors et al. · Environmental Modelling & Software | 17 Feb 2020 | 29 |
| 19 | Health-Related Evaluation of Building Products based on Climate Chamber Tests Peter Nielsen, Lilli Kirkeskov Jensen, Karen Eng et al. · Indoor Air | Sep 1994 | 25 |
| 20 | Modeling Concept Drift: A Probabilistic Graphical Model Based Approach Hanen Borchani, Ana María Martínez, Andrés R. Masegosa et al. · Lecture notes in computer science | 2015 | 22 |
| 21 | Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks Galia Weidl, Anders Læsø Madsen, Stevens Wang et al. · IEEE Intelligent Transportation Systems Magazine | 2018 | 21 |
| 22 | Improvements to message computation in lazy propagation Anders Læsø Madsen · International Journal of Approximate Reasoning | 29 Jan 2010 | 21 |
| 23 | An empirical evaluation of possible variations of lazy propagation Anders Læsø Madsen · arXiv (Cornell University) | 7 Jul 2004 | 20 |
| 24 | Enhancing Control Room Operator Decision Making Joseph Mietkiewicz, Ammar Nathad Abbas, Chidera Winifred Amazu et al. · Processes | 2 Feb 2024 | 18 |
| 25 | Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition Meryem Tahri, Jan Kašpar, Anders Læsø Madsen et al. · Environmental Modelling & Software | 28 Oct 2021 | 17 |
| 26 | Identification and Evaluation of Cases for Excess Heat Utilisation Using GIS Fabian Bühler, Stefan N. Petrović, Torben Ommen et al. · Energies | 27 Mar 2018 | 17 |
| 27 | SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices Mohamed S. Sayed, Niels Lohse, Nicolaj Søndberg-Jeppesen et al. | Jul 2015 | 17 |
| 28 | A FACTORIZED REPRESENTATION OF INDEPENDENCE OF CAUSAL INFLUENCE AND LAZY PROPAGATION Anders Læsø Madsen, Bruce D’Ambrosio · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems | Apr 2000 | 15 |
| 29 | Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements Galia Weidl, Anders Læsø Madsen, Dietmar Kasper et al. | Oct 2014 | 15 |
| 30 | Incorporating climate projections in the environmental risk assessment of pesticides in aquatic ecosystems Rik Oldenkamp, Rasmus Benestad, John Daniel Hader et al. · Integrated Environmental Assessment and Management | 5 Oct 2023 | 14 |
| 31 | Scaling up Bayesian variational inference using distributed computing clusters Andrés R. Masegosa, Ana María Martínez, Helge Langseth et al. · International Journal of Approximate Reasoning | 28 Jun 2017 | 14 |
| 32 | AMIDST: A Java toolbox for scalable probabilistic machine learning Andrés R. Masegosa, Ana María Martínez, Darío Ramos-López et al. · Knowledge-Based Systems | 29 Sep 2018 | 14 |
| 33 | Solving linear-quadratic conditional Gaussian influence diagrams Anders Læsø Madsen, F. Jensen · International Journal of Approximate Reasoning | 18 Sep 2004 | 14 |
| 34 | Evaluation of a Bayesian Network for Strengthening the Weight of Evidence to Predict Acute Fish Toxicity from Fish Embryo Toxicity Data Adam David Lillicrap, S. Jannicke Moe, Raoul L. Wolf et al. · Integrated Environmental Assessment and Management | 3 Mar 2020 | 13 |
| 35 | ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II Miguel Ángel Sotelo, Luis Miguel Bergasa, R. Flores et al. · Lecture notes in computer science | 2003 | 12 |
| 36 | Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime Luigi Ferrara, Christian Mårtenson, Pontus Svenson et al. · Lecture notes in computer science | 2008 | 11 |
| 37 | Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón et al. · International Journal of Approximate Reasoning | 15 Jun 2018 | 10 |
| 38 | Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level Anders Læsø Madsen, Nicolaj Søndberg-Jeppesen, Mohamed S. Sayed et al. · Lecture notes in computer science | 2017 | 9 |
| 39 | Using a Bayesian belief network to diagnose significant adverse effect of the EU Water Framework Directive on hydropower production in Norway David Nicholas Barton, Tor Haakon Bakken, Anders Læsø Madsen · Journal of Applied Water Engineering and Research | 2 Jan 2016 | 9 |
| 40 | A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs Anders Læsø Madsen, Frank Jensen, Antonio Salmerón et al. · Lecture notes in computer science | 2014 | 9 |
| 41 | Early Recognition of Maneuvers in Highway Traffic Galia Weidl, Anders Læsø Madsen, Viacheslav Tereshchenko et al. · Lecture notes in computer science | 2015 | 8 |
| 42 | Prevalence of central serous chorioretinopathy in Denmark Ida Ny Frederiksen, Danson Vasanthan Muttuvelu, Rodrigo Anguita et al. · Acta Ophthalmologica | 11 May 2025 | 7 |
| 43 | Financial Data Analysis with PGMs Using AMIDST Rafael Cabañas, Ana María Martínez, Andrés R. Masegosa et al. | Dec 2016 | 7 |
| 44 | MAP inference in dynamic hybrid Bayesian networks Darío Ramos-López, Andrés R. Masegosa, Ana María Martínez et al. · Progress in Artificial Intelligence | 27 Jan 2017 | 7 |
| 45 | Bayesian network inference using marginal trees Cory J. Butz, Jhonatan S. Oliveira, Anders Læsø Madsen · International Journal of Approximate Reasoning | 29 Jul 2015 | 7 |
| 46 | Dynamic Bayesian modeling for risk prediction in credit operations Hanen Borchani, Ana María Martínez, Masegosa Andrés R. et al. · Frontiers in artificial intelligence and applications | 2015 | 7 |
| 47 | Parallel Importance Sampling in Conditional Linear Gaussian Networks Antonio Salmerón, Darío Ramos-López, Hanen Borchani et al. · Lecture notes in computer science | 2015 | 7 |
| 48 | Predicting operators reliability for control room alarm management using knowledge-based Bayesian networks Houda Briwa, Anders Læsø Madsen, Maria Chiara Leva · Reliability Engineering & System Safety | 23 Jan 2026 | 6 |
| 49 | An empirical study of Bayesian network inference with simple propagation Cory J. Butz, Jhonatan S. Oliveira, André Evaristo dos Santos et al. · International Journal of Approximate Reasoning | 6 Nov 2017 | 6 |
| 50 | A Software Package for Web Deployment of Probabilistic Graphical Models Anders Læsø Madsen, Martin Karlsen, Gary C. Barker et al. · Frontiers in artificial intelligence and applications | 2013 | 6 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.