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.
2016Proceedings of the 19th International Conference on Artificial Intelligence and Statistics 2016
Countries citing papers authored by Matthew Graham
Since Specialization
Citations
This map shows the geographic impact of Matthew Graham'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 Matthew Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Graham more than expected).
This network shows the impact of papers produced by Matthew Graham. 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 Matthew Graham. The network helps show where Matthew Graham may publish in the future.
Co-authorship network
The 2 scholars most cited alongside Matthew Graham, linked wherever they have
co-authored with each other. Click a name or a connecting line to browse the papers they
share.
Border = papers with Matthew GrahamLine = papers co-authored togetherMatthew Graham links everyone, so they are left out of the graph.
Matthew Graham is a scholar working on Global and Planetary Change, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 2 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ethics in Clinical Research (1 paper) and Sustainability and Climate Change Governance (1 paper). The work is most often cited by research in Artificial Intelligence (930 citations), Computational Mathematics (14 citations) and Health Informatics (25 citations). Matthew Graham has collaborated with scholars based in United Kingdom. Frequent co-authors include Iain Murray and Gabrielle Samuel. Their work appears in journals such as Journal of Translational Medicine.
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.