Daniel Malinsky
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Bayesian Modeling and Causal Inference 7
- Machine Learning and Algorithms 2
-
- Advanced Causal Inference Techniques 3
- Co-authors
- David Danks (1 shared paper)Liam Kofi Bright (1 shared paper)Peter Spirtes (4 shared papers)Ilya Shpitser (3 shared papers)Eric J. Tchetgen Tchetgen (1 shared paper)Niels Richard Hansen (1 shared paper)Andrew M. Cameron (2 shared papers)Tanjala S. Purnell (3 shared papers)
- Journals
- Philosophy of Science (2 papers)Journal of the American Medical Informatics Association (1 paper)Philosophy Compass (1 paper)International Journal of Approximate Reasoning (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Daniel Malinsky
21 papers receiving 293 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 40
- Health Informatics 5
- History and Philosophy of Science 16
- Transplantation 7
- Hepatology 19
Countries citing papers authored by Daniel Malinsky
This map shows the geographic impact of Daniel Malinsky'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 Daniel Malinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Malinsky more than expected).
Fields of papers citing papers by Daniel Malinsky
This network shows the impact of papers produced by Daniel Malinsky. 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 Daniel Malinsky. The network helps show where Daniel Malinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Malinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 71 | |
| 2 | 2015 | 64 | |
| 3 | 2022 | 26 | |
| 4 | 2017 | 18 | |
| 5 | Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding. | 2018 | 17 |
| 6 | 2019 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 11 | |
| 9 | Causal Learning for Partially Observed Stochastic Dynamical Systems | 2018 | 11 |
| 10 | 2023 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2025 | 5 | |
| 14 | Learning Optimal Fair Policies. | 2019 | 4 |
| 15 | 2023 | 3 | |
| 16 | 2025 | 3 | |
| 17 | Estimating Causal Effects with Ancestral Graph Markov Models. | 2016 | 3 |
| 18 | 2024 | 2 | |
| 19 | 2015 | 2 | |
| 20 | Learning the Structure of a Nonstationary Vector Autoregression. | 2019 | 2 |
About Daniel Malinsky
Daniel Malinsky is a scholar working on Artificial Intelligence, Statistics and Probability, General Health Professions, History and Philosophy of Science and Clinical Psychology, having authored 23 papers that have together received 302 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Advanced Causal Inference Techniques (3 papers), Machine Learning and Algorithms (2 papers), Liver Disease and Transplantation (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Fault Detection and Control Systems (2 papers), Philosophy and History of Science (2 papers) and Agricultural risk and resilience (1 paper). The work is most often cited by research in Statistics and Probability (40 citations), Health Informatics (5 citations), History and Philosophy of Science (16 citations), Transplantation (7 citations) and Hepatology (19 citations). Daniel Malinsky has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include David Danks, Liam Kofi Bright, Peter Spirtes, Ilya Shpitser, Eric J. Tchetgen Tchetgen, Niels Richard Hansen, Andrew M. Cameron, Tanjala S. Purnell, James P. Hamilton and Dorry L. Segev. Their work appears in journals such as Philosophy of Science, Journal of the American Medical Informatics Association, Philosophy Compass, International Journal of Approximate Reasoning and Science Advances.
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.