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.
Biostatistics -- An Introductory Text
1965770 citationsAvram Goldstein et al.Biometricsprofile →
Countries citing papers authored by Avram Goldstein
Since Specialization
Citations
This map shows the geographic impact of Avram Goldstein'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 Avram Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avram Goldstein more than expected).
This network shows the impact of papers produced by Avram Goldstein. 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 Avram Goldstein. The network helps show where Avram Goldstein may publish in the future.
Avram Goldstein is a scholar working on Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Education, having authored 4 papers that have together received 814 indexed citations. Recurring topics across this work include Medical Education and Admissions (1 paper), Parental Involvement in Education (1 paper) and Innovations in Medical Education (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (185 citations), Pharmacology (36 citations) and Physiology (103 citations). Their work appears in journals such as Biometrics, The Elementary School Journal and PubMed.
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.