Queen Mary

58 total papers · 409 total citations
15 papers, 211 citations indexed

About

Queen Mary is a scholar working on Finance, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Queen Mary has authored 15 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Finance, 1 paper in Strategy and Management and 1 paper in Sociology and Political Science. Recurrent topics in Queen Mary’s work include Law, AI, and Intellectual Property (1 paper), Corporate Governance and Law (1 paper) and Biomedical and Engineering Education (1 paper). Queen Mary is often cited by papers focused on Law, AI, and Intellectual Property (1 paper), Corporate Governance and Law (1 paper) and Biomedical and Engineering Education (1 paper). Queen Mary collaborates with scholars based in Mexico, United Kingdom and France. Queen Mary's co-authors include Mustafa F. Özbilgin, Walter R. Nord, Ahu Tatlι, Moira Kelly, Philip E. Ogden, Andrew Church, L.P. Kubin, H. R. Loyn, Zhengxiao Guo and G. Kostorz 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

This figure shows the co-authorship network connecting the top 25 collaborators of Queen Mary. A scholar is included among the top collaborators of Queen Mary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Queen Mary. Queen Mary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Queen Mary

13 papers receiving 202 citations

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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2026