Tomi Silander
- Artificial Intelligence top 2%
- Molecular Biology
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Information Systems top 10%
- Co-authors
- Petri MyllymäkiKirsi TirriPetri KontkanenTeemu RoosTze-Yun LeongStevan JovanovichPeter GrünwaldMark Craven
- Topics
- Bayesian Modeling and Causal Inference (20 papers)Machine Learning and Data Classification (6 papers)Data Quality and Management (6 papers)
- Partner nations
- FinlandSingaporeUnited States
In The Last Decade
Tomi Silander
49 papers receiving 887 citations
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 484
- Molecular Biology 207
- Management Science and Operations Research 129
- Computational Theory and Mathematics 94
- Information Systems 77
Countries citing papers authored by Tomi Silander
This map shows the geographic impact of Tomi Silander'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 Tomi Silander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomi Silander more than expected).
Fields of papers citing papers by Tomi Silander
This network shows the impact of papers produced by Tomi Silander. 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 Tomi Silander. The network helps show where Tomi Silander may publish in the future.
Co-authorship network of co-authors of Tomi Silander
This figure shows the co-authorship network connecting the top 25 collaborators of Tomi Silander. A scholar is included among the top collaborators of Tomi Silander 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 Tomi Silander. Tomi Silander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 16 | |
| 3 | Using New Models to Analyze Complex Regularities of the World: Commentary on Musso et al. (2013) | 1 |
| 4 | Do risk-averse people lie less? A comparison of risk-taking behavior in deceptive and non-deceptive scenarios | 0 |
| 5 | Online Feature Selection for Model-based Reinforcement Learning | 26 |
| 6 | Transferring Expectations in Model-based Reinforcement Learning | 10 |
| 7 | A generative model based approach to retrieving ischemic stroke images. | 2 |
| 8 | 5 | |
| 9 | Locally Minimax Optimal Predictive Modeling with Bayesian Networks | 5 |
| 10 | Factorized normalized maximum likelihood criterion for learning Bayesian network structures | 31 |
| 11 | 59 | |
| 12 | EDUFORM – A Tool for Creating Adaptive Questionnaires | 5 |
| 13 | 26 | |
| 14 | Learning probabilistic decision graphs | 2 |
| 15 | Adaptive Profiling Tool for Teacher Education | 0 |
| 16 | Bayesian Modeling Approach to Implement an Adaptive Questionnaire | 3 |
| 17 | 167 | |
| 18 | 7 | |
| 19 | Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. | 2 |
| 20 | BAYDA: software for Bayesian classification and feature selection | 10 |
About Tomi Silander
Tomi Silander is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, having authored 54 papers that have together received 992 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (20 papers), Machine Learning and Data Classification (6 papers) and Data Quality and Management (6 papers). The work is most often cited by research in Artificial Intelligence (484 citations), Virology (68 citations) and Management Science and Operations Research (129 citations). Tomi Silander has collaborated with scholars based in Finland, Singapore and United States. Frequent co-authors include Petri Myllymäki, Kirsi Tirri, Petri Kontkanen, Teemu Roos, Tze-Yun Leong, Stevan Jovanovich, Peter Grünwald, Mark Craven, Janardan K. Reddy and David R. Rank. Their work appears in journals such as Bioinformatics, Scientific Reports and Molecular Pharmacology.
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.