Anders L. Madsen

3.2k total citations · 1 hit paper
66 papers, 1.6k citations indexed

About

Anders L. Madsen is a scholar working on Artificial Intelligence, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, Anders L. Madsen has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 11 papers in Signal Processing. Recurrent topics in Anders L. Madsen's work include Bayesian Modeling and Causal Inference (44 papers), AI-based Problem Solving and Planning (12 papers) and Data Quality and Management (12 papers). Anders L. Madsen is often cited by papers focused on Bayesian Modeling and Causal Inference (44 papers), AI-based Problem Solving and Planning (12 papers) and Data Quality and Management (12 papers). Anders L. Madsen collaborates with scholars based in Denmark, Norway and Spain. Anders L. Madsen's co-authors include Uffe Kjærulff, Finn V. Jensen, Galia Weidl, David N. Barton, Frank Jensen, Francesc Baró, Johannes Langemeyer, Timon McPhearson, Thomas D. Nielsen and Helge Langseth and has published in prestigious journals such as The Science of The Total Environment, Artificial Intelligence and Knowledge-Based Systems.

In The Last Decade

Anders L. Madsen

63 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

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

2012 367 citations Uffe Kjærulff, Anders L. Madsen profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Anders L. Madsen Denmark	16	627	263	217	200	150	66	1.6k
Antonio Salmerón Spain	19	835 1.3×	258 1.0×	143 0.7×	227 1.1×	88 0.6×	88	1.6k
Nelson F. F. Ebecken Brazil	23	565 0.9×	153 0.6×	153 0.7×	108 0.5×	148 1.0×	209	2.0k
Thomas Bartz–Beielstein Germany	21	1.0k 1.7×	149 0.6×	76 0.4×	242 1.2×	178 1.2×	104	2.3k
Bin Chen China	24	242 0.4×	96 0.4×	93 0.4×	82 0.4×	131 0.9×	168	1.8k
Rafael Rumí Spain	14	507 0.8×	274 1.0×	117 0.5×	127 0.6×	54 0.4×	43	1.2k
Xiuju Fu Singapore	23	615 1.0×	106 0.4×	61 0.3×	102 0.5×	142 0.9×	101	2.5k
Renbin Xiao China	21	368 0.6×	185 0.7×	53 0.2×	117 0.6×	206 1.4×	172	2.0k
Shin Ta Liu	7	189 0.3×	133 0.5×	178 0.8×	322 1.6×	78 0.5×	8	1.4k
Kjersti Aas Norway	18	433 0.7×	435 1.7×	188 0.9×	277 1.4×	85 0.6×	40	2.8k
Derya Birant Türkiye	19	777 1.2×	97 0.4×	43 0.2×	91 0.5×	194 1.3×	90	2.3k

Countries citing papers authored by Anders L. Madsen

Since Specialization

Citations

This map shows the geographic impact of Anders L. Madsen'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 Anders L. Madsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders L. Madsen more than expected).

Fields of papers citing papers by Anders L. Madsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anders L. Madsen. 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 Anders L. Madsen. The network helps show where Anders L. Madsen may publish in the future.

Co-authorship network of co-authors of Anders L. Madsen

This figure shows the co-authorship network connecting the top 25 collaborators of Anders L. Madsen. A scholar is included among the top collaborators of Anders L. Madsen 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 Anders L. Madsen. Anders L. Madsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Madsen, Anders L., et al.. (2023). Dynamic Influence Diagram-Based Deep Reinforcement Learning Framework and Application for Decision Support for Operators in Control Rooms. Arrow - TU Dublin (Technological University Dublin). 2806–2813. 4 indexed citations

Madsen, Anders L., et al.. (2023). Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. VBN Forskningsportal (Aalborg Universitet). 73–82. 2 indexed citations

Oldenkamp, Rik, Rasmus Benestad, John D. Hader, et al.. (2023). Incorporating climate projections in the environmental risk assessment of pesticides in aquatic ecosystems. Integrated Environmental Assessment and Management. 20(2). 384–400. 9 indexed citations

Barton, David N., Håkon Sundt, Hans‐Petter Fjeldstad, et al.. (2019). Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river. Environmental Modelling & Software. 124. 104604–104604. 28 indexed citations

Weidl, Galia, et al.. (2018). Situation Awareness and Early Recognition of Traffic Maneuvers. VBN Forskningsportal (Aalborg Universitet). 7–16. 1 indexed citations

Madsen, Anders L., et al.. (2018). Simple Propagation with Arc-Reversal in Bayesian Networks. VBN Forskningsportal (Aalborg Universitet). 260–271. 1 indexed citations

Masegosa, Andrés R., Antonio Salmerón, Rafael Rumí, et al.. (2018). Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. International Journal of Approximate Reasoning. 100. 115–134. 7 indexed citations

Butz, Cory J., et al.. (2017). An empirical study of Bayesian network inference with simple propagation. International Journal of Approximate Reasoning. 92. 198–211. 4 indexed citations

Butz, Cory J., et al.. (2016). Bayesian Network Inference with Simple Propagation. VBN Forskningsportal (Aalborg Universitet). 62–655. 1 indexed citations

10.

Butz, Cory J., et al.. (2015). Bayesian network inference using marginal trees. International Journal of Approximate Reasoning. 68. 127–152. 3 indexed citations

11.

Madsen, Anders L.. (2010). Improvements to message computation in lazy propagation. International Journal of Approximate Reasoning. 51(5). 499–514. 12 indexed citations

12.

Madsen, Anders L.. (2006). Variations over the message computation algorithm of lazy propagation. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 36(3). 636–648. 15 indexed citations

13.

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

14.

Madsen, Anders L.. (2004). An empirical evaluation of possible variations of lazy propagation. arXiv (Cornell University). 366–373. 7 indexed citations

15.

Madsen, Anders L., et al.. (2004). Sonar image quality assessment for an autonomous underwater vehicle. World Automation Congress. 15. 33–38. 7 indexed citations

16.

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

17.

Kjærulff, Uffe & Anders L. Madsen. (2004). A methodology for acquiring qualitative knowledge for probabilistic graphical models. VBN Forskningsportal (Aalborg Universitet). 2 indexed citations

18.

Madsen, Anders L. & Finn V. Jensen. (1999). Parallelization of Inference in Bayesian Networks. 3 indexed citations

19.

Madsen, Anders L. & Bruce D’Ambrosio. (1999). A Factorized Representation of Independence of Causal Influence and Lazy Propagation. The Florida AI Research Society. 444–448. 1 indexed citations

20.

Madsen, Anders L. & Finn V. Jensen. (1999). Lazy propagation: A junction tree inference algorithm based on lazy evaluation. Artificial Intelligence. 113(1-2). 203–245. 120 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.

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