Daniel Malinsky

713 total citations
22 papers, 283 citations indexed

About

Daniel Malinsky is a scholar working on Artificial Intelligence, Statistics and Probability and General Health Professions. According to data from OpenAlex, Daniel Malinsky has authored 22 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Statistics and Probability and 3 papers in General Health Professions. Recurrent topics in Daniel Malinsky's work include Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (4 papers) and Machine Learning and Algorithms (2 papers). Daniel Malinsky is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (4 papers) and Machine Learning and Algorithms (2 papers). Daniel Malinsky collaborates with scholars based in United States, Canada and Guinea-Bissau. Daniel Malinsky's co-authors include David Danks, Liam Kofi Bright, Peter Spirtes, Ilya Shpitser, Eric J. Tchetgen Tchetgen, James P. Hamilton, John W. Jackson, Dorry L. Segev, Niels Richard Hansen and Alexandra T. Strauss and has published in prestigious journals such as Scientific Reports, Science Advances and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Daniel Malinsky

20 papers receiving 273 citations

Peers

Countries citing papers authored by Daniel Malinsky

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Malinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Malinsky. A scholar is included among the top collaborators of Daniel Malinsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Malinsky. Daniel Malinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation 2025 ·Journal of the American Medical Informatics Association ·(unknown), Iñigo Urteaga, (unknown), George Hripcsak, Pierre Elias, Benjamin Recht, Noémie Elhadad, James C. Fackler, Mark Sendak, Jenna Wiens, (unknown), (unknown), Madalina Fiterau, Zachary C. Lipton, Daniel Malinsky, Madhur Nayan, Hongseok Namkoong, Soojin Park, Julia E. Vogt, Rajesh Ranganath	4
2	Intrinsic health as a foundation for a science of health 2025 ·Science Advances ·Alan A. Cohen, Martin Picard, John Beard, Daniel W. Belsky, Julie B. Herbstman, (unknown), Molei Liu, Nour Makarem, Daniel Malinsky, Sen Pei, Ying Wei, (unknown)	1
3	Mind the Height-gap: Association of a Novel Index of Growth Impairment With Airflow Obstruction in Adulthood 2024 ·(unknown), (unknown), M J Alter, (unknown), Ani Manichaikul, James C. Engert, Magnus Ekström, Daniel Malinsky, Elizabeth C. Oelsner, R. Graham Barr, Stephanie Lovinsky‐Desir, (unknown)	0
4	Longitudinal patterns of natural hazard exposures and anxiety and depression symptoms among young adults in four low- and middle-income countries 2024 ·Scientific Reports ·Ilan Cerna-Turoff, Joan A. Casey, Katherine M. Keyes, Kara E. Rudolph, Daniel Malinsky	2
5	Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: A qualitative study 2023 ·Hepatology Communications ·Alexandra T. Strauss, (unknown), Hannah C. Sung, (unknown), Harold P. Lehmann, Tanjala S. Purnell, John W. Jackson, Daniel Malinsky, James P. Hamilton, Jacqueline Garonzik‐Wang, Stephen H. Gray, Macey L. Levan, Jeremiah S. Hinson, Ayşe P. Gürses, Ahmet Gürakar, Dorry L. Segev, Scott Levin	10
6	The Effect of the Earned Income Tax Credit on Physical and Mental health—Results from the Atlanta Paycheck Plus Experiment 2023 ·Milbank Quarterly ·Peter Muennig, Daniel W. Belsky, Daniel Malinsky, (unknown), Zohn Rosen, Heidi Allen	2
7	Critical interactions between race and the highly granular area deprivation index in liver transplant evaluation 2023 ·Clinical Transplantation ·Alexandra T. Strauss, (unknown), John W. Jackson, Daniel Malinsky, Dorry L. Segev, James P. Hamilton, Jacqueline Garonzik‐Wang, Ahmet Gürakar, Andrew M. Cameron, Lorraine T. Dean, Eili Klein, Scott Levin, Tanjala S. Purnell	12
8	Disease-Specific Contribution of Pulvinar Dysfunction to Impaired Emotion Recognition in Schizophrenia 2022 ·Frontiers in Behavioral Neuroscience ·Antı́gona Martı́nez, Russell H. Tobe, Pablo A. Gaspar, Daniel Malinsky, Elisa C. Dias, Pejman Sehatpour, Péter Lakatos, Gaurav H. Patel, (unknown), Gail Silipo, Daniel C. Javitt	9
9	Multicenter study of racial and ethnic inequities in liver transplantation evaluation: Understanding mechanisms and identifying solutions 2022 ·Liver Transplantation ·Alexandra T. Strauss, (unknown), Tanjala S. Purnell, Hannah C. Sung, John W. Jackson, Scott Levin, (unknown), Daniel Malinsky, Dorry L. Segev, James P. Hamilton, Jacqueline Garonzik‐Wang, Stephen H. Gray, Macey L. Levan, Joseph R. Scalea, Andrew M. Cameron, (unknown), Ayşe P. Gürses	25
10	Causal determinants of postoperative length of stay in cardiac surgery using causal graphical learning 2022 ·Journal of Thoracic and Cardiovascular Surgery ·(unknown), Ranjani Srinivasan, Chin Siang Ong, Diane Alejo, Stefano Schena, Ilya Shpitser, Marc Sussman, Glenn J.R. Whitman, Daniel Malinsky	11
11	Association of Central Airway Tree Caliber with Mortality Among Older Adults: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study 2022 ·(unknown), Coralynn Sack, (unknown), Norrina B. Allen, Alain G. Bertoni, (unknown), David R. Jacobs, Joel D. Kaufman, Andrew F. Laine, (unknown), Daniel Malinsky, Erin D. Michos, (unknown), Steve Shea, K. Watson, A. De Benedetti, R. Graham Barr, Benjamin M. Smith	0
12	Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model 2019 ·arXiv (Cornell University) ·Daniel Malinsky, Ilya Shpitser, Eric J. Tchetgen Tchetgen	13
13	Learning the Structure of a Nonstationary Vector Autoregression. 2019 ·PubMed ·Daniel Malinsky, Peter Spirtes	1
14	Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding. 2018 ·Knowledge Discovery and Data Mining ·Daniel Malinsky, Peter Spirtes	16
15	Causal Learning for Partially Observed Stochastic Dynamical Systems 2018 ·Research at the University of Copenhagen (University of Copenhagen) ·(unknown), Daniel Malinsky, Niels Richard Hansen	10
16	Estimating bounds on causal effects in high-dimensional and possibly confounded systems 2017 ·International Journal of Approximate Reasoning ·Daniel Malinsky, Peter Spirtes	16
17	Causal discovery algorithms: A practical guide 2017 ·Philosophy Compass ·Daniel Malinsky, David Danks	69
18	Intervening on structure 2017 ·Synthese ·Daniel Malinsky	11
19	Causally Interpreting Intersectionality Theory 2015 ·Philosophy of Science ·Liam Kofi Bright, Daniel Malinsky, (unknown)	62
20	Hypothesis Testing, “Dutch Book” Arguments, and Risk 2015 ·Philosophy of Science ·Daniel Malinsky	2

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.

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