Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of Al Young'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 Al Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Al Young more than expected).
This network shows the impact of papers produced by Al Young. 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 Al Young. The network helps show where Al Young may publish in the future.
Co-authors
The 3 scholars most cited alongside Al Young, 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 Al YoungLine = papers co-authored togetherAl Young links everyone, so they are left out of the graph.
Al Young is a scholar working on Infectious Diseases, Organic Chemistry, Surgery, Communication and Small Animals, having authored 2 papers that have together received 405 indexed citations. The work is most often cited by research in Mathematical Physics (97 citations), Applied Mathematics (92 citations), Algebra and Number Theory (34 citations), Geometry and Topology (56 citations) and Discrete Mathematics and Combinatorics (20 citations). Al Young has collaborated with scholars based in United States. Frequent co-authors include Raymond Carver, Gore Vidal and Vladimir Nabokov. Their work appears in journals such as The Hudson Review and The Iowa Review.
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.