Peter Spirtes
Impact in
- History and Philosophy of Science top 0.1%
- Philosophy and History of Science
- Statistics and Probability top 0.2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
Papers in
-
- Advanced Causal Inference Techniques 11
- Statistical Methods and Inference 8
- Statistical Methods and Bayesian Inference 6
-
- Bayesian Modeling and Causal Inference 63
- AI-based Problem Solving and Planning 7
- Machine Learning and Algorithms 6
- Co-authors
- Clark GlymourRichard ScheinesKun ZhangThomas S. RichardsonChristopher MeekJiji ZhangKevin T. KellyThomas Richardson
- Journals
- Synthese (3 papers)Multivariate Behavioral Research (3 papers)Bioinformatics (2 papers)Biometrika (2 papers)The Annals of Statistics (2 papers)
- Partner nations
- United StatesDenmarkFinland
In The Last Decade
Peter Spirtes
88 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- History and Philosophy of Science 795
- Statistics and Probability 1.4k
- Artificial Intelligence 5.3k
- Management Science and Operations Research 1.2k
- General Decision Sciences 149
Countries citing papers authored by Peter Spirtes
This map shows the geographic impact of Peter Spirtes'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 Peter Spirtes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Spirtes more than expected).
Fields of papers citing papers by Peter Spirtes
This network shows the impact of papers produced by Peter Spirtes. 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 Peter Spirtes. The network helps show where Peter Spirtes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Spirtes, 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 | 2024 | 1 | |
| 2 | 2023 | 4 | |
| 3 | On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge | 2020 | 4 |
| 4 | Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding. | 2018 | 16 |
| 5 | Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results. | 2018 | 5 |
| 6 | 2018 | 14 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 16 | |
| 9 | Data-driven covariate selection for nonparametric estimation of causal effects | 2013 | 18 |
| 10 | Statistical test for consistent estimation of causal effects in linear non-Gaussian models | 2012 | 11 |
| 11 | Nonlinear directed acyclic structure learning with weakly additive noise models | 2009 | 24 |
| 12 | A theoretical study of Y structures for causal discovery | 2006 | 24 |
| 13 | A transformational characterization of Markov equivalence for directed acyclic graphs with latent variables | 2005 | 7 |
| 14 | 2005 | 43 | |
| 15 | Evidence of cross-hybridization artifact in expressed sequence tags (ESTs) on cDNA microarrays | 2002 | 1 |
| 16 | Causation, Prediction, and Search, 2nd Edition | 2001 | 144 |
| 17 | An Anytime Algorithm for Causal Inference | 2001 | 32 |
| 18 | An experiment in causal discovery using a pneumona database. | 1999 | 9 |
| 19 | Learning Bayesian networks with discrete variables from data | 1995 | 101 |
| 20 | TETRAD II : tools for causal modeling | 1994 | 46 |
About Peter Spirtes
Peter Spirtes is a scholar working on Statistics and Probability, Artificial Intelligence, History and Philosophy of Science, Management Science and Operations Research and General Decision Sciences, having authored 93 papers that have together received 9.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (63 papers), Advanced Causal Inference Techniques (11 papers), Statistical Methods and Inference (8 papers), AI-based Problem Solving and Planning (7 papers), Philosophy and History of Science (7 papers), Machine Learning and Algorithms (6 papers), Statistical Methods and Bayesian Inference (6 papers) and Multi-Criteria Decision Making (5 papers). The work is most often cited by research in History and Philosophy of Science (795 citations), Statistics and Probability (1.4k citations), Artificial Intelligence (5.3k citations), Management Science and Operations Research (1.2k citations) and General Decision Sciences (149 citations). Peter Spirtes has collaborated with scholars based in United States, Denmark and Finland. Frequent co-authors include Clark Glymour, Richard Scheines, Kun Zhang, Thomas S. Richardson, Christopher Meek, Jiji Zhang, Kevin T. Kelly, Thomas Richardson, Christopher Meek and Neil W. Henry. Their work appears in journals such as Synthese, Multivariate Behavioral Research, Bioinformatics, Biometrika and The Annals of Statistics.
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.