Richard Scheines
- History and Philosophy of Science top 0.1%
- Philosophy and History of Science 6
- Statistics and Probability top 0.2%
- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 6
- Artificial Intelligence top 0.2%
- Bayesian Modeling and Causal Inference 38
- Intelligent Tutoring Systems and Adaptive Learning 9
- AI-based Problem Solving and Planning 8
- Machine Learning and Algorithms 5
- General Decision Sciences top 2%
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- Innovative Teaching and Learning Methods 7
- Co-authors
- Peter SpirtesClark GlymourSteven P. ReiseKeith F. WidamanMark G. HavilandFrederick EberhardtAnne BoomsmaHerbert Hoijtink
- Journals
- Philosophy of Science (3 papers)Synthese (2 papers)Structural Equation Modeling A Multidisciplinary Journal (2 papers)
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Richard Scheines
68 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- History and Philosophy of Science 779
- Statistics and Probability 1.2k
- Artificial Intelligence 3.9k
- General Decision Sciences 168
- Management Science and Operations Research 977
Countries citing papers authored by Richard Scheines
This map shows the geographic impact of Richard Scheines'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 Richard Scheines with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Scheines more than expected).
Fields of papers citing papers by Richard Scheines
This network shows the impact of papers produced by Richard Scheines. 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 Richard Scheines. The network helps show where Richard Scheines may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard Scheines, 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 | Is the Doer Effect Robust across Multiple Data Sets | 2018 | 5 |
| 2 | 2018 | 0 | |
| 3 | 2018 | 2 | |
| 4 | 2018 | 0 | |
| 5 | 2018 | 14 | |
| 6 | 2018 | 5 | |
| 7 | 2018 | 0 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 0 | |
| 10 | 2018 | 1 | |
| 11 | Measurement Error and Causal Discovery. | 2016 | 10 |
| 12 | Discovering Prerequisite Relationships Among Knowledge Components. | 2014 | 29 |
| 13 | Combining Experiments to Discover Linear Cyclic Models with Latent Variables | 2010 | 25 |
| 14 | Unsupervised Discovery of Student Strategies. | 2010 | 18 |
| 15 | On the number of experiments sufficient and in the worst case necessary to identify all causal relations among N variables | 2005 | 27 |
| 16 | 2004 | 11 | |
| 17 | Evidence of cross-hybridization artifact in expressed sequence tags (ESTs) on cDNA microarrays | 2002 | 1 |
| 18 | Public administration and health care: estimating latent causal influences: TETRAD III variable selection and Bayesian parameter estimation | 2002 | 1 |
| 19 | Causation, Prediction, and Search, 2nd Edition | 2001 | 144 |
| 20 | TETRAD II : tools for causal modeling | 1994 | 46 |
About Richard Scheines
Richard Scheines is a scholar working on Statistics and Probability, Artificial Intelligence, History and Philosophy of Science, Management Science and Operations Research and Developmental and Educational Psychology, having authored 77 papers that have together received 8.2k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (38 papers), Intelligent Tutoring Systems and Adaptive Learning (9 papers), AI-based Problem Solving and Planning (8 papers), Innovative Teaching and Learning Methods (7 papers), Advanced Causal Inference Techniques (7 papers), Philosophy and History of Science (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in History and Philosophy of Science (779 citations), Statistics and Probability (1.2k citations), Artificial Intelligence (3.9k citations), General Decision Sciences (168 citations) and Management Science and Operations Research (977 citations). Richard Scheines has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Peter Spirtes, Clark Glymour, Steven P. Reise, Keith F. Widaman, Mark G. Haviland, Frederick Eberhardt, Anne Boomsma, Herbert Hoijtink, Kevin T. Kelly and Christopher Meek. Their work appears in journals such as Philosophy of Science, Synthese, Structural Equation Modeling A Multidisciplinary Journal, Multivariate Behavioral Research and Sociological Methods & Research.
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.