Suzanne M. Mahoney

11 papers and 204 indexed citations i.

About

Suzanne M. Mahoney is a scholar working on Artificial Intelligence, Sociology and Political Science and Software. According to data from OpenAlex, Suzanne M. Mahoney has authored 11 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Software. Recurrent topics in Suzanne M. Mahoney’s work include Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (6 papers) and Logic, Reasoning, and Knowledge (3 papers). Suzanne M. Mahoney is often cited by papers focused on Bayesian Modeling and Causal Inference (7 papers), AI-based Problem Solving and Planning (6 papers) and Logic, Reasoning, and Knowledge (3 papers). Suzanne M. Mahoney collaborates with scholars based in United States. Suzanne M. Mahoney's co-authors include Kathryn Blackmond Laskey, Bruce D’Ambrosio, Tod S. Levitt, Dennis M. Buede, Barry Ezell, Eric C. Carlson, Amanda B. Hepler, Michael S. Johnson and Roderick B. Jordan and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Reliability Engineering & System Safety and INFORMS Journal on Applied Analytics.

In The Last Decade

Co-authorship network of co-authors of Suzanne M. Mahoney i

Fields of papers citing papers by Suzanne M. Mahoney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne M. Mahoney. 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 Suzanne M. Mahoney. The network helps show where Suzanne M. Mahoney may publish in the future.

Countries citing papers authored by Suzanne M. Mahoney

Since Specialization
Citations

This map shows the geographic impact of Suzanne M. Mahoney'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 Suzanne M. Mahoney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne M. Mahoney 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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