Queen Mary

About

Queen Mary is a scholar working on Sociology and Political Science, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Queen Mary has authored 8 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Queen Mary’s work include Social Capital and Networks (1 paper), Biomedical and Engineering Education (1 paper) and Management and Organizational Studies (1 paper). Queen Mary is often cited by papers focused on Social Capital and Networks (1 paper), Biomedical and Engineering Education (1 paper) and Management and Organizational Studies (1 paper). Queen Mary collaborates with scholars based in Mexico, United Kingdom and South Korea. Queen Mary's co-authors include Ahu Tatlι, Walter R. Nord, Mustafa F. Özbilgin, Moira Kelly, Zhengxiao Guo, L.P. Kubin, G. Kostorz, D. G. Pettifor, David W. Edgington and Neil Bradford and has published in prestigious journals such as Academy of Management Review, Materials Science and Engineering A and Sociology of Health & Illness.

In The Last Decade

Co-authorship network of co-authors of Queen Mary i

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Fields of papers citing papers by Queen Mary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Queen Mary

Since Specialization

Citations

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