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.
Adapted large language models can outperform medical experts in clinical text summarization
2024252 citationsWilliam Collins, Jason Hom et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by William Collins
Since
Specialization
Citations
This map shows the geographic impact of William Collins'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 William Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Collins more than expected).
This network shows the impact of papers produced by William Collins. 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 William Collins. The network helps show where William Collins may publish in the future.
Co-authorship network of co-authors of William Collins
This figure shows the co-authorship network connecting the top 25 collaborators of William Collins.
A scholar is included among the top collaborators of William Collins 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 William Collins. William Collins is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Boustan, Leah Platt & William Collins. (2013). The Origins and Persistence of Black-White Differences in Women's Labor Force Participation. National Bureau of Economic Research. 205–240.
8.
Collins, William, et al.. (2007). Teaching Artificial Intelligence across the Computer Science Curriculum Using Sudoku as a Problem Domain.. The Florida AI Research Society. 327–332.
9.
Bailey, Martha, Jeremy Atack, Kathryn Freeman Anderson, et al.. (2005). MORE POWER TO THE PILL: THE IMPACT OF CONTRACEPTIVE FREEDOM ON WOMEN’S LIFE CYCLE LABOR SUPPLY* July 2005. SSRN Electronic Journal.17 indexed citations
10.
Collins, William & Martha Bailey. (2004). The Wage Gains of African-American Women in the 1940s. SSRN Electronic Journal.1 indexed citations
Collins, William & Melissa A. Thomasson. (2002). Exploring the Racial Gap in Infant Mortality Rates, 1920-1970. RePEc: Research Papers in Economics.2 indexed citations
13.
Collins, William & Robert A. Margo. (1999). Race and Home Ownership, 1900 to 1990. National Bureau of Economic Research.1 indexed citations
14.
Collins, William, et al.. (1999). More EJS : discography of the Edward J. Smith recordings : "Unique Opera Records Corporation" (1972-1977), "A.N.N.A. Record Company" (1978-1982), "special-label" issues (circa 1954-1981), and addendum to "The Golden age of opera" series. Greenwood Press eBooks.
15.
Collins, William, et al.. (1996). Memorials. The Leading Edge. 15(7). 858–860.1 indexed citations
Collins, William. (1985). Intermediate Pascal Programming: A Case Study Approach. McGraw-Hill, Inc. eBooks.2 indexed citations
18.
Collins, William. (1984). An introduction to programming and Pascal. Macmillan eBooks.
19.
Collins, William, et al.. (1981). Remote mineralogical analysis using a high-resolution airborne spectroradiometer - Preliminary results of the Mark II system.4 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.