Marco Cusumano-Towner

About

Marco Cusumano-Towner is a scholar working on Artificial Intelligence, Human-Computer Interaction and Biomedical Engineering. According to data from OpenAlex, Marco Cusumano-Towner has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Human-Computer Interaction and 1 paper in Biomedical Engineering. Recurrent topics in Marco Cusumano-Towner’s work include Bayesian Modeling and Causal Inference (4 papers), Machine Learning and Algorithms (3 papers) and Evolutionary Algorithms and Applications (1 paper). Marco Cusumano-Towner is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Machine Learning and Algorithms (3 papers) and Evolutionary Algorithms and Applications (1 paper). Marco Cusumano-Towner collaborates with scholars based in United States and Switzerland. Marco Cusumano-Towner's co-authors include Pieter Abbeel, Jeremy Maitin-Shepard, Arjun Singh, Stephen D. Miller, James F. O’Brien, Vikash K. Mansinghka, David M. Maslove, Gomathi Krishnan, Martin Rinard and Michael Carbin and has published in prestigious journals such as Journal of the American Medical Informatics Association, ACM SIGPLAN Notices and Proceedings of the ACM on Programming Languages.

In The Last Decade

Co-authorship network of co-authors of Marco Cusumano-Towner i

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Fields of papers citing papers by Marco Cusumano-Towner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Cusumano-Towner. 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 Marco Cusumano-Towner. The network helps show where Marco Cusumano-Towner may publish in the future.

Countries citing papers authored by Marco Cusumano-Towner

Since Specialization

Citations

This map shows the geographic impact of Marco Cusumano-Towner'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 Marco Cusumano-Towner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cusumano-Towner 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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