Silja Renooij
- Artificial Intelligence top 2%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 5%
- Political Science and International Relations top 10%
- Economics and Econometrics top 10%
- Co-authors
- Cilia WittemanLinda C. van der GaagHenry PrakkenBart VerheijBabs G. TaalB.M.P. AlemanSjoerd T. TimmerJohn‐Jules Ch. Meyer
- Topics
- Bayesian Modeling and Causal Inference (42 papers)AI-based Problem Solving and Planning (16 papers)Artificial Intelligence in Law (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaArtificial IntelligenceEcological Modelling
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Silja Renooij
47 papers receiving 767 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 527
- Management Science and Operations Research 142
- Statistics, Probability and Uncertainty 89
- Political Science and International Relations 83
- Economics and Econometrics 68
Countries citing papers authored by Silja Renooij
This map shows the geographic impact of Silja Renooij'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 Silja Renooij with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silja Renooij more than expected).
Fields of papers citing papers by Silja Renooij
This network shows the impact of papers produced by Silja Renooij. 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 Silja Renooij. The network helps show where Silja Renooij may publish in the future.
Co-authorship network of co-authors of Silja Renooij
This figure shows the co-authorship network connecting the top 25 collaborators of Silja Renooij. A scholar is included among the top collaborators of Silja Renooij 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 Silja Renooij. Silja Renooij 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 | Same-Decision Probability: threshold robustness and application to explanation | 0 |
| 4 | 35 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | Lattices for Studying Monotonicity of Bayesian Networks. | 4 |
| 11 | Exploiting evidence-dependent sensitivity bounds | 2 |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 49 | |
| 15 | 9 | |
| 16 | 4 | |
| 17 | Zooming in on Trade-Offs in Qualitative Probabilistic Networks | 1 |
| 18 | 125 | |
| 19 | 9 | |
| 20 | Decision Making in Qualitative Influence Diagrams | 10 |
About Silja Renooij
Silja Renooij is a scholar working on Artificial Intelligence, General Decision Sciences and Computational Theory and Mathematics, having authored 50 papers that have together received 828 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (42 papers), AI-based Problem Solving and Planning (16 papers) and Artificial Intelligence in Law (10 papers). The work is most often cited by research in General Decision Sciences (31 citations), Artificial Intelligence (527 citations) and Statistics, Probability and Uncertainty (89 citations). Silja Renooij has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Cilia Witteman, Linda C. van der Gaag, Henry Prakken, Bart Verheij, Babs G. Taal, B.M.P. Aleman, Sjoerd T. Timmer, John‐Jules Ch. Meyer, Pieter Koele and Floris Bex. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Ecological Modelling.
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.