default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAnders L. Madsen
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c62]Rasmus L. Olsen, Hans-Peter Schwefel, Anders L. Madsen:
Reliable electricity distribution using a digital twin based on explainable artificial intelligence. SmartGridComm 2024: 84-85- [i9]Sandra Johnson, Kerrie L. Mengersen, Patrick O'Callaghan, Anders L. Madsen:
Proposer selection in EIP-7251. CoRR abs/2404.12657 (2024) - 2023
- [c61]Yeimy Paola Valencia Usme
, Marc Normann, Iryna Sapsai, Joerg Abke, Anders L. Madsen, Galia Weidl:
Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. ECSEE 2023: 73-82 - [c60]Joseph Mietkiewicz, Anders L. Madsen:
Enhancing Control Room Operator Decision Making: An Application of Dynamic Influence Diagrams in Formaldehyde Manufacturing. ECSQARU 2023: 15-26 - [c59]Anders L. Madsen, Cory J. Butz:
A Comparison of Different Marginalization Operations in Simple Propagation. ECSQARU 2023: 172-182 - 2022
- [j24]Meryem Tahri, Jan Kaspar, Anders L. Madsen, Roman Modlinger, Khodabakhsh Zabihi, Robert Marusák, Harald Vacik:
Comparative study of fuzzy-AHP and BBN for spatially-explicit prediction of bark beetle predisposition. Environ. Model. Softw. 147: 105233 (2022) - [c58]Anders L. Madsen, Kristian G. Olesen, Frank Jensen, Per Henriksen, Thomas Mulvad Larsen, Jørn Munkhof Møller:
Online Updating of Conditional Linear Gaussian Bayesian Networks. PGM 2022: 97-108 - [c57]Anders L. Madsen, S. Jannicke Moe, Thomas Braunbeck, Kristin A. Connors, Michelle Embry, Kristin Schirmer, Stefan Scholz, Raoul Wolf, Adam A. Lillicrap:
A Decision Support System to Predict Acute Fish Toxicity. PGM 2022: 253-264 - [c56]Sandra Johnson, David Hyland-Wood, Anders L. Madsen, Kerrie L. Mengersen:
Stateful to Stateless: Modelling Stateless Ethereum. MARS@ETAPS 2022: 27-39 - 2020
- [j23]David N. Barton, Håkon Sundt, Ana Adeva-Bustos, Hans-Petter Fjeldstad, Richard D. Hedger, Torbjørn Forseth, Berit Köhler, Øystein Aas, Knut Alfredsen, Anders L. Madsen:
Multi-criteria decision analysis in Bayesian networks - Diagnosing ecosystem service trade-offs in a hydropower regulated river. Environ. Model. Softw. 124: 104604 (2020) - [j22]S. Jannicke Moe, Anders L. Madsen, Kristin A. Connors, Jane M. Rawlings, Scott E. Belanger, Wayne G. Landis, Raoul Wolf, Adam D. Lillicrap:
Development of a hybrid Bayesian network model for predicting acute fish toxicity using multiple lines of evidence. Environ. Model. Softw. 126: 104655 (2020) - [c55]Anders L. Madsen, Kristian G. Olesen, Heidi Lynge Løvschall, Nicolaj Søndberg-Jeppesen, Frank Jensen, Morten Lindblad, Mads Lause Mogensen, Trine Søby Christensen:
Prediction of High Risk of Deviations in Home Care Deliveries. PGM 2020: 281-292 - [c54]Anders L. Madsen, Kristian G. Olesen, Jørn Munkhof Møller, Nicolaj Søndberg-Jeppesen, Frank Jensen, Thomas Mulvad Larsen, Per Henriksen, Morten Lindblad, Trine Søby Christensen:
A Software System for Predicting Patient Flow at the Emergency Department of Aalborg University Hospital. PGM 2020: 617-620
2010 – 2019
- 2019
- [j21]Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen:
AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. 163: 595-597 (2019) - [c53]Cory J. Butz, André E. dos Santos, Jhonatan de S. Oliveira, Anders L. Madsen:
Exploiting Symmetry of Independence in d-Separation. Canadian AI 2019: 42-54 - [c52]Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
Solving Influence Diagrams with Simple Propagation. Canadian AI 2019: 68-79 - 2018
- [j20]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
An empirical study of Bayesian network inference with simple propagation. Int. J. Approx. Reason. 92: 198-211 (2018) - [j19]Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen:
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reason. 100: 115-134 (2018) - [j18]Galia Weidl, Anders L. Madsen, Stevens Wang, Dietmar Kasper, Martin Karlsen:
Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks. IEEE Intell. Transp. Syst. Mag. 10(3): 146-158 (2018) - [j17]Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen:
A Review of Inference Algorithms for Hybrid Bayesian Networks. J. Artif. Intell. Res. 62: 799-828 (2018) - [c51]Luís Neto, Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Ricardo Silva, João Reis, Peter McIntyre, Gil Gonçalves:
A component framework as an enabler for industrial cyber physical systems. ICPS 2018: 339-344 - [c50]Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
Simple Propagation with Arc-Reversal in Bayesian Networks. PGM 2018: 260-271 - 2017
- [j16]Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen:
Scaling up Bayesian variational inference using distributed computing clusters. Int. J. Approx. Reason. 88: 435-451 (2017) - [j15]Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen:
A parallel algorithm for Bayesian network structure learning from large data sets. Knowl. Based Syst. 117: 46-55 (2017) - [j14]Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen:
MAP inference in dynamic hybrid Bayesian networks. Prog. Artif. Intell. 6(2): 133-144 (2017) - [c49]Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Frank Jensen, Mohamed S. Sayed, Ulrich Moser, Luís Neto, João Reis, Niels Lohse:
Parameter Learning Algorithms for Continuous Model Improvement Using Operational Data. ECSQARU 2017: 115-124 - [c48]Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen:
Bayesian Models of Data Streams with Hierarchical Power Priors. ICML 2017: 2334-2343 - [c47]Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Mohamed S. Sayed, Michael Peschl, Niels Lohse:
Applying Object-Oriented Bayesian Networks for Smart Diagnosis and Health Monitoring at both Component and Factory Level. IEA/AIE (2) 2017: 132-141 - [i8]Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen:
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR abs/1704.01427 (2017) - [i7]Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen:
Bayesian Models of Data Streams with Hierarchical Power Priors. CoRR abs/1707.02293 (2017) - 2016
- [j13]Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen:
Bayesian network inference using marginal trees. Int. J. Approx. Reason. 68: 127-152 (2016) - [j12]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams. Int. J. Approx. Reason. 70: 13-35 (2016) - [c46]Anders L. Madsen, Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos:
On Tree Structures Used by Simple Propagation. Canadian AI 2016: 207-212 - [c45]Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa:
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI 2016: 743-750 - [c44]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
Bayesian Network Inference with Simple Propagation. FLAIRS 2016: 650-655 - [c43]Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen:
Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops 2016: 1284-1287 - [c42]Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, Anders L. Madsen:
On Bayesian Network Inference with Simple Propagation. Probabilistic Graphical Models 2016: 62-73 - [c41]Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen:
d-VMP: Distributed Variational Message Passing. Probabilistic Graphical Models 2016: 321-332 - [c40]Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen:
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Probabilistic Graphical Models 2016: 415-425 - 2015
- [c39]Anders L. Madsen, Cory J. Butz:
Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Canadian AI 2015: 3-15 - [c38]Anders L. Madsen, Frank Jensen, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen:
Parallelisation of the PC Algorithm. CAEPIA 2015: 14-24 - [c37]Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen:
Parallel Importance Sampling in Conditional Linear Gaussian Networks. CAEPIA 2015: 36-46 - [c36]Antonio Salmerón, Rafael Rumí, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen:
MPE Inference in Conditional Linear Gaussian Networks. ECSQARU 2015: 407-416 - [c35]Galia Weidl, Anders L. Madsen, Viacheslav Tereshchenko, Dietmar Kasper, Gabi Breuel:
Early Recognition of Maneuvers in Highway Traffic. ECSQARU 2015: 529-540 - [c34]Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez:
Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. IDA 2015: 72-83 - [c33]Anders L. Madsen, Nicolaj Søndberg-Jeppesen, Niels Lohse, Mohamed S. Sayed:
A methodology for developing local smart diagnostic models using expert knowledge. INDIN 2015: 1682-1687 - [c32]Mohamed S. Sayed, Niels Lohse, Nicolaj Søndberg-Jeppesen, Anders L. Madsen:
SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices. INDIN 2015: 1700-1705 - [c31]Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Antonio Fernández, Anders L. Madsen, Ramón Sáez:
Dynamic Bayesian modeling for risk prediction in credit operations. SCAI 2015: 17-26 - 2014
- [c30]Galia Weidl, Anders L. Madsen, Dietmar Kasper, Gabi Breuel:
Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements. ISIC 2014: 1626-1631 - [c29]Rafael Cabañas, Anders L. Madsen, Andrés Cano, Manuel Gómez-Olmedo:
On SPI for Evaluating Influence Diagrams. IPMU (1) 2014: 506-516 - [c28]Thomas D. Nielsen, Sigve Hovda, Antonio Fernández, Helge Langseth, Anders L. Madsen, Andrés R. Masegosa, Antonio Salmerón:
Requirement Engineering for a Small Project with Pre-Specified Scope. NIK 2014 - [c27]Cory J. Butz, Jhonatan de S. Oliveira, Anders L. Madsen:
Bayesian Network Inference Using Marginal Trees. Probabilistic Graphical Models 2014: 81-96 - [c26]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
On SPI-Lazy Evaluation of Influence Diagrams. Probabilistic Graphical Models 2014: 97-112 - [c25]Anders L. Madsen, Frank Jensen, Martin Karlsen, Nicolaj Søndberg-Jeppesen:
Bayesian Networks with Function Nodes. Probabilistic Graphical Models 2014: 286-301 - [c24]Anders L. Madsen, Frank Jensen, Antonio Salmerón, Martin Karlsen, Helge Langseth, Thomas D. Nielsen:
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. Probabilistic Graphical Models 2014: 302-317 - 2013
- [j11]Anders L. Madsen, Cory J. Butz:
Ordering arc-reversal operations when eliminating variables in lazy AR propagation. Int. J. Approx. Reason. 54(8): 1182-1196 (2013) - [c23]Cory J. Butz, Wen Yan, Anders L. Madsen:
d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. Canadian AI 2013: 13-24 - [c22]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
Approximate Lazy Evaluation of Influence Diagrams. CAEPIA 2013: 321-331 - [c21]Cory J. Butz, Wen Yan, Anders L. Madsen:
On Semantics of Inference in Bayesian Networks. ECSQARU 2013: 73-84 - [c20]Anders L. Madsen, Cory J. Butz:
On the Tree Structure Used by Lazy Propagation for Inference in Bayesian Networks. ECSQARU 2013: 400-411 - [c19]Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen:
Heuristics for Determining the Elimination Ordering in the Influence Diagram Evaluation with Binary Trees. SCAI 2013: 65-74 - [c18]Anders L. Madsen, Martin Karlsen, Gary C. Barker, Ana Belén García, Jeffrey Hoorfar, Frank Jensen, Håkan Vigre:
A Software Package for Web Deployment of Probabilistic Graphical Models. SCAI 2013: 175-184 - [i6]Anders L. Madsen, Dennis Nilsson:
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation. CoRR abs/1301.2291 (2013) - [i5]Anders L. Madsen, Finn Verner Jensen:
Lazy Evaluation of Symmetric Bayesian Decision Problems. CoRR abs/1301.6716 (2013) - [i4]Anders L. Madsen, Finn Verner Jensen:
Lazy Propagation in Junction Trees. CoRR abs/1301.7398 (2013) - 2012
- [i3]Anders L. Madsen:
Belief Update in CLG Bayesian Networks With Lazy Propagation. CoRR abs/1206.6854 (2012) - [i2]Anders L. Madsen:
A Differential Semantics of Lazy AR Propagation. CoRR abs/1207.1355 (2012) - [i1]Anders L. Madsen:
An Empirical Evaluation of Possible Variations of Lazy Propagation. CoRR abs/1207.4137 (2012) - 2011
- [c17]Cory J. Butz, Anders L. Madsen, Kevin Williams:
Using Four Cost Measures to Determine Arc Reversal Orderings. ECSQARU 2011: 110-121 - 2010
- [j10]Anders L. Madsen:
Improvements to message computation in lazy propagation. Int. J. Approx. Reason. 51(5): 499-514 (2010)
2000 – 2009
- 2008
- [j9]Anders L. Madsen:
Belief update in CLG Bayesian networks with lazy propagation. Int. J. Approx. Reason. 49(2): 503-521 (2008) - [c16]Luigi Ferrara, Christian Mårtenson, Pontus Svenson, Per Svensson, Justo Hidalgo, Anastasio Molano, Anders L. Madsen:
Integrating Data Sources and Network Analysis Tools to Support the Fight Against Organized Crime. ISI Workshops 2008: 171-182 - 2006
- [j8]Anders L. Madsen:
Variations over the message computation algorithm of lazy propagation. IEEE Trans. Syst. Man Cybern. Part B 36(3): 636-648 (2006) - [c15]Anders L. Madsen:
Belief Update in CLG Bayesian Networks With Lazy Propagation. UAI 2006 - 2005
- [j7]Galia Weidl, Anders L. Madsen, Stefan Israelson:
Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. Comput. Chem. Eng. 29(9): 1996-2009 (2005) - [j6]Anders L. Madsen, Frank Jensen, Uffe Kjærulff, Michael Lang:
The Hugin Tool for Probabilistic Graphical Models. Int. J. Artif. Intell. Tools 14(3): 507-544 (2005) - [j5]Anders L. Madsen, Frank Jensen:
Solving linear-quadratic conditional Gaussian influence diagrams. Int. J. Approx. Reason. 38(3): 263-282 (2005) - 2003
- [c14]Anders L. Madsen, Frank Jensen:
Mixed Influence Diagrams. ECSQARU 2003: 208-219 - [c13]Anders L. Madsen, Michael Lang, Uffe Kjærulff, Frank Jensen:
The Hugin Tool for Learning Bayesian Networks. ECSQARU 2003: 594-605 - [c12]Miguel Ángel Sotelo, Luis Miguel Bergasa, Ramón Flores, Manuel Ocaña, Marie-Hélène Doussin, Luis Magdalena, Joerg Kalwa, Anders L. Madsen, Michel Perrier, Damien Roland Pietro Corigliano:
ADVOCATE II: ADVanced On-Board Diagnosis and Control of Autonomous Systems II. EUROCAST 2003: 302-313 - 2002
- [j4]Kristian G. Olesen, Anders L. Madsen:
Maximal prime subgraph decomposition of Bayesian networks. IEEE Trans. Syst. Man Cybern. Part B 32(1): 21-31 (2002) - [j3]Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer:
Practical modeling of Bayesian decision problems - exploiting deterministic relations. IEEE Trans. Syst. Man Cybern. Part B 32(1): 32-38 (2002) - [c11]Galia Weidl, Anders L. Madsen, Erik Dahlquist:
Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions. HIS 2002: 221-230 - [c10]Frank Jensen, Uffe Kjærulff, Michael Lang, Anders L. Madsen:
Hugin - The Tool for Bayesian Networks and Influence Diagrams. Probabilistic Graphical Models 2002 - 2001
- [c9]Anders L. Madsen, Kristian G. Olesen, Søren L. Dittmer:
Practical Modeling of Bayesian Decision Problems -- Exploiting Deterministic Relations. FLAIRS 2001: 585-590 - [c8]Kristian G. Olesen, Anders L. Madsen:
Maximal Prime Subgraph Decomposition of Bayesian Networks. FLAIRS 2001: 596-601 - [c7]Anders L. Madsen, Dennis Nilsson:
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation. UAI 2001: 337-345 - 2000
- [j2]Anders L. Madsen, Bruce D'Ambrosio:
A Factorized Representation of Independence of Causal Influence and Lazy Propagation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 8(2): 151-166 (2000)
1990 – 1999
- 1999
- [j1]Anders L. Madsen, Finn Verner Jensen:
LAZY Propagation: A Junction Tree Inference Algorithm Based on Lazy Evaluation. Artif. Intell. 113(1-2): 203-245 (1999) - [c6]Anders L. Madsen, Bruce D'Ambrosio:
Lazy Propagation and Independence of Causal Influence. ESCQARU 1999: 293-304 - [c5]Anders L. Madsen, Bruce D'Ambrosio:
A Factorized Representation of Independence of Causal Influence and Lazy Propagation. FLAIRS 1999: 444-448 - [c4]Anders L. Madsen, Finn Verner Jensen:
Lazy Evaluation of Symmetric Bayesian Decision Problems. UAI 1999: 382-390 - 1998
- [c3]Anders L. Madsen:
Lazy Propagation and Independence of Causal Influence. ECAI 1998: 612-613 - [c2]Anders L. Madsen, Lars M. Nielsen, Finn Verner Jensen:
ProbSy--A System for the Calculation of Probabilities in the Card Game Bridge. FLAIRS 1998: 435-439 - [c1]Anders L. Madsen, Finn Verner Jensen:
Lazy Propagation in Junction Trees. UAI 1998: 362-369
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
