Daniel Malinsky
Impact in
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Advanced Causal Inference Techniques 5
- Statistical Methods and Inference 3
-
- Bayesian Modeling and Causal Inference 9
- Co-authors
- David J. Danks (1 shared paper)Liam Kofi Bright (1 shared paper)Peter Spirtes (4 shared papers)Ilya Shpitser (5 shared papers)Rohit Bhattacharya (1 shared paper)Tanjala S. Purnell (3 shared papers)Scott Levin (3 shared papers)Alexandra T. Strauss (3 shared papers)
- Journals
- Philosophy of Science (2 papers)Liver Transplantation (1 paper)Science Advances (1 paper)Philosophy Compass (1 paper)Synthese (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Daniel Malinsky
26 papers receiving 383 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 10
- Statistics and Probability 51
- History and Philosophy of Science 19
- Transplantation 9
- Artificial Intelligence 109
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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2015 | 76 | |
| 3 | 2022 | 30 | |
| 4 | 2023 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 2023 | 17 | |
| 7 | Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding. | 2018 | 15 |
| 8 | 2023 | 15 | |
| 9 | 2017 | 13 | |
| 10 | Causal Learning for Partially Observed Stochastic Dynamical Systems | 2018 | 13 |
| 11 | 2023 | 13 | |
| 12 | 2025 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 11 | |
| 16 | Learning Optimal Fair Policies. | 2019 | 8 |
| 17 | 2019 | 7 | |
| 18 | Estimating Causal Effects with Ancestral Graph Markov Models. | 2016 | 3 |
| 19 | 2023 | 3 | |
| 20 | 2025 | 3 |
About Daniel Malinsky
Daniel Malinsky is a scholar working on Statistics and Probability, Artificial Intelligence, Health Informatics, History and Philosophy of Science and Hepatology, having authored 29 papers that have together received 399 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (9 papers), Advanced Causal Inference Techniques (5 papers), Statistical Methods and Inference (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Philosophy and History of Science (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Fault Detection and Control Systems (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Health Informatics (10 citations), Statistics and Probability (51 citations), History and Philosophy of Science (19 citations), Transplantation (9 citations) and Artificial Intelligence (109 citations). Daniel Malinsky has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David J. Danks, Liam Kofi Bright, Peter Spirtes, Ilya Shpitser, Rohit Bhattacharya, Tanjala S. Purnell, Scott Levin, Alexandra T. Strauss, James P. Hamilton and Jacqueline M. Garonzik-Wang. Their work appears in journals such as Philosophy of Science, Liver Transplantation, Science Advances, Philosophy Compass and Synthese.
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.