Daniel Malinsky

About

Daniel Malinsky is a scholar working on Artificial Intelligence, Statistics and Probability and Clinical Psychology. According to data from OpenAlex, Daniel Malinsky has authored 18 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 2 papers in Clinical Psychology. Recurrent topics in Daniel Malinsky’s work include Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (5 papers) and Machine Learning and Algorithms (3 papers). Daniel Malinsky is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Advanced Causal Inference Techniques (5 papers) and Machine Learning and Algorithms (3 papers). Daniel Malinsky collaborates with scholars based in United States, Guinea-Bissau and Spain. Daniel Malinsky's co-authors include David Danks, Liam Kofi Bright, Peter Spirtes, Ilya Shpitser, Eric J. Tchetgen Tchetgen, Niels Richard Hansen, John W. Jackson, Alexandra T. Strauss, Andrew M. Cameron and Thomas S. Richardson and has published in prestigious journals such as Journal of the American Statistical Association, Scientific Reports and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Co-authorship network of co-authors of Daniel Malinsky i

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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.

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).

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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