Manfred Jaeger
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Adnan DarwicheMark ChaviraGuy Van den BroeckHua MaoJens Frederik Dalsgaard NielsenTomi SilanderYingke ChenThomas D. Nielsen
- Topics
- Bayesian Modeling and Causal Inference (25 papers)Logic, Reasoning, and Knowledge (12 papers)Semantic Web and Ontologies (10 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Manfred Jaeger
39 papers receiving 535 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 416
- Signal Processing 91
- Computational Theory and Mathematics 86
- Management Science and Operations Research 78
- Computer Networks and Communications 75
Countries citing papers authored by Manfred Jaeger
This map shows the geographic impact of Manfred Jaeger'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 Manfred Jaeger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manfred Jaeger more than expected).
Fields of papers citing papers by Manfred Jaeger
This network shows the impact of papers produced by Manfred Jaeger. 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 Manfred Jaeger. The network helps show where Manfred Jaeger may publish in the future.
Co-authorship network of co-authors of Manfred Jaeger
This figure shows the co-authorship network connecting the top 25 collaborators of Manfred Jaeger. A scholar is included among the top collaborators of Manfred Jaeger 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 Manfred Jaeger. Manfred Jaeger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Factorial clustering with an application to plant distribution data | 0 |
| 5 | Probabilistic-Logic Models: Reasoning and Learning with Relational Structures | 1 |
| 6 | Comparative Evaluation of PL languages. | 2 |
| 7 | An Empirical Study of Efficiency and Accuracy of Probabilistic Graphical Models | 4 |
| 8 | 26 | |
| 9 | Learning probabilistic decision graphs | 2 |
| 10 | 3 | |
| 11 | Compiling Relational Bayesian Networks for Exact Inference | 8 |
| 12 | Probabilistic classifiers and the concepts they recognize | 10 |
| 13 | 4 | |
| 14 | 22 | |
| 15 | Fairness, Computable Fairness and Randomness | 2 |
| 16 | Reasoning About Infinite Random Structures with Relational Bayesian Networks | 12 |
| 17 | Representation Independence of Nonmonotonic Inference Relations | 5 |
| 18 | Data Mining as Selective Theory Extraction in Probabilistic Logic | 2 |
| 19 | Minimum Cross-Entropy Reasoning: A Statistical Justification | 1 |
| 20 | Description Logics for Natural Language Processing | 1 |
About Manfred Jaeger
Manfred Jaeger is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 43 papers that have together received 575 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (25 papers), Logic, Reasoning, and Knowledge (12 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Artificial Intelligence (416 citations), Software (46 citations) and Signal Processing (91 citations). Manfred Jaeger has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Adnan Darwiche, Mark Chavira, Guy Van den Broeck, Hua Mao, Jens Frederik Dalsgaard Nielsen, Tomi Silander, Yingke Chen, Thomas D. Nielsen, Kim G. Larsen and Brian Nielsen. Their work appears in journals such as The Annals of Statistics, Artificial Intelligence and Machine Learning.
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.