Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average within
it), or reaches the top citation threshold in at least one of its specific research topics.
Countries citing papers authored by Tania Murray Li
Since Specialization
Citations
This map shows the geographic impact of Tania Murray Li'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 Tania Murray Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Murray Li more than expected).
This network shows the impact of papers produced by Tania Murray Li. 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 Tania Murray Li. The network helps show where Tania Murray Li may publish in the future.
Tania Murray Li is a scholar working on Demography, Political Science and International Relations and Education, having authored 5 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tourism, Volunteerism, and Development (1 paper), Global Educational Policies and Reforms (1 paper) and Global Education and Multiculturalism (1 paper). The work is most often cited by research in General Agricultural and Biological Sciences (354 citations), Development (130 citations) and Anthropology (251 citations). Tania Murray Li has collaborated with scholars based in Canada and France. Their work appears in journals such as HAL (Le Centre pour la Communication Scientifique Directe).
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.