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.
Big Data: Astronomical or Genomical?
2015744 citationsZachary Stephens, Faraz Faghri et al.PLoS Biologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Miles Efron'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 Miles Efron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miles Efron more than expected).
This network shows the impact of papers produced by Miles Efron. 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 Miles Efron. The network helps show where Miles Efron may publish in the future.
Co-authorship network of co-authors of Miles Efron
This figure shows the co-authorship network connecting the top 25 collaborators of Miles Efron.
A scholar is included among the top collaborators of Miles Efron 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 Miles Efron. Miles Efron is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Stephens, Zachary, Faraz Faghri, Roy H. Campbell, et al.. (2015). Big Data: Astronomical or Genomical?. PLoS Biology. 13(7). e1002195–e1002195.744 indexed citations breakdown →
4.
Sherman, Garrick, et al.. (2014). The University of Illinois' Graduate School of Library and Information Science at TREC 2014. Text REtrieval Conference.1 indexed citations
Efron, Miles, et al.. (2011). The University of Illinois' Graduate School of Library and Information Science at TREC 2012. Text REtrieval Conference.2 indexed citations
Efron, Miles. (2007). Metadata Use in OAI-Compliant Institutional Repositories. Texas Digital Library (University of Texas). 8(2). 4.4 indexed citations
13.
Efron, Miles, et al.. (2007). University of Texas School of Information at TREC 2007.. Text REtrieval Conference.10 indexed citations
Efron, Miles. (2004). Cultural Orientation: Classifying Subjective Documents by Cociation Analysis.. National Conference on Artificial Intelligence. 41–48.5 indexed citations
Newby, Gregory B. & Miles Efron. (2003). Eigenvalue-based estimators for optimal dimensionality reduction in information retrieval.5 indexed citations
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.