Mary‐Anne Williams

127 papers and 1.1k indexed citations i.

About

Mary‐Anne Williams is a scholar working on Artificial Intelligence, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Mary‐Anne Williams has authored 127 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 22 papers in Social Psychology and 15 papers in Control and Systems Engineering. Recurrent topics in Mary‐Anne Williams’s work include Logic, Reasoning, and Knowledge (24 papers), Social Robot Interaction and HRI (17 papers) and Bayesian Modeling and Causal Inference (17 papers). Mary‐Anne Williams is often cited by papers focused on Logic, Reasoning, and Knowledge (24 papers), Social Robot Interaction and HRI (17 papers) and Bayesian Modeling and Causal Inference (17 papers). Mary‐Anne Williams collaborates with scholars based in Australia, United States and Greece. Mary‐Anne Williams's co-authors include Pavlos Peppas, Harry Surden, Salem Benferhat, Benjamin Johnston, Peter Gärdenfors, Jochen Schweitzer, Robert Freedman, John M. Rainey, Robert Pohl and Henri Prade and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Plant Cell.

In The Last Decade

Co-authorship network of co-authors of Mary‐Anne Williams i

Fields of papers citing papers by Mary‐Anne Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary‐Anne Williams. 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 Mary‐Anne Williams. The network helps show where Mary‐Anne Williams may publish in the future.

Countries citing papers authored by Mary‐Anne Williams

Since Specialization
Citations

This map shows the geographic impact of Mary‐Anne Williams'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 Mary‐Anne Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary‐Anne Williams 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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2025