Sara Steegen
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
-
- Meta-analysis and systematic reviews
Papers in
-
- Bayesian Modeling and Causal Inference 1
-
- Data Visualization and Analytics 2
- Co-authors
- Francis Tuerlinckx (5 shared papers)Wolf Vanpaemel (5 shared papers)Andrew Gelman (1 shared paper)Jun Qian (1 shared paper)Emmanuel Vander Poorten (1 shared paper)H. Van Brussel (1 shared paper)Wim De Neys (1 shared paper)Dominiek Reynaerts (1 shared paper)
- Journals
- Psychological Methods (1 paper)Journal of Experimental Child Psychology (1 paper)International Journal of Machine Tools and Manufacture (1 paper)Journal of Mathematical Psychology (1 paper)Perspectives on Psychological Science (1 paper)
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Sara Steegen
8 papers receiving 833 citations
Sara Steegen's Hit Papers
Peers
Comparison fields: 5 of 135
- General Decision Sciences 36
- Statistics, Probability and Uncertainty 112
- Experimental and Cognitive Psychology 182
- Applied Psychology 63
- Cognitive Neuroscience 194
Countries citing papers authored by Sara Steegen
This map shows the geographic impact of Sara Steegen'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 Sara Steegen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Steegen more than expected).
Fields of papers citing papers by Sara Steegen
This network shows the impact of papers produced by Sara Steegen. 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 Sara Steegen. The network helps show where Sara Steegen may publish in the future.
Co-authors
The 12 scholars most cited alongside Sara Steegen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Increasing Transparency Through a Multiverse Analysis Hit paper breakdown → | 2016 | 765 |
| 2 | 2020 | 35 | |
| 3 | 2014 | 19 | |
| 4 | 2002 | 16 | |
| 5 | 2012 | 6 | |
| 6 | 2016 | 4 | |
| 7 | 2014 | 3 | |
| 8 | 2017 | 1 |
About Sara Steegen
Sara Steegen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Ocean Engineering, having authored 8 papers that have together received 849 indexed citations. Recurring topics across this work include Data Visualization and Analytics (2 papers), Advanced Statistical Methods and Models (1 paper), Advanced Surface Polishing Techniques (1 paper), Bayesian Modeling and Causal Inference (1 paper), Memory Processes and Influences (1 paper), Economic and Environmental Valuation (1 paper), Advanced Machining and Optimization Techniques (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in General Decision Sciences (36 citations), Statistics, Probability and Uncertainty (112 citations), Experimental and Cognitive Psychology (182 citations), Applied Psychology (63 citations) and Cognitive Neuroscience (194 citations). Sara Steegen has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Francis Tuerlinckx, Wolf Vanpaemel, Andrew Gelman, Jun Qian, Emmanuel Vander Poorten, H. Van Brussel, Wim De Neys, Dominiek Reynaerts, Helena Matute and Miguel A. Vadillo. Their work appears in journals such as Psychological Methods, Journal of Experimental Child Psychology, International Journal of Machine Tools and Manufacture, Journal of Mathematical Psychology and Perspectives on Psychological Science.
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.