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.
Using Algebraic Geometry
2005854 citationsDavid A. Cox, John B. Little et al.profile →
Toric Varieties
2011379 citationsDavid A. Cox, John B. Little et al.Graduate studies in mathematicsprofile →
Ideals, Varieties, and Algorithms
2015287 citationsDavid A. Cox, John B. Little et al.profile →
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 David A. Cox'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 David A. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Cox more than expected).
This network shows the impact of papers produced by David A. Cox. 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 David A. Cox. The network helps show where David A. Cox may publish in the future.
Co-authorship network of co-authors of David A. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Cox.
A scholar is included among the top collaborators of David A. Cox 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 David A. Cox. David A. Cox is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cox, David A., John B. Little, & Hal Schenck. (2011). Toric Varieties. Graduate studies in mathematics.379 indexed citations breakdown →
4.
Cox, David A., John B. Little, & Donal O’Shea. (2007). Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3/e (Undergraduate Texts in Mathematics). Springer eBooks.244 indexed citations
Cattani, Eduardo, David A. Cox, Alicia Dickenstein, et al.. (2005). Solving Polynomial Equations: Foundations, Algorithms, and Applications (Algorithms and Computation in Mathematics). Springer eBooks.12 indexed citations
8.
Cox, David A.. (2005). What is the Role of Algebra in Applied Mathematics.3 indexed citations
9.
Cox, David A., J. C. R. Hunt, Paul M. Mason, H. S. Wheater, & Peter Wolf. (2002). Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences: 360 (1796). Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 360(1796).1 indexed citations
10.
Cox, David A., Bernd Sturmfels, & Dinesh Manocha. (1998). Applications of computational algebraic geometry : American Mathematical Society short course, January 6-7, 1997, San Diego, California. American Mathematical Society eBooks.6 indexed citations
Cox, David A.. (1993). The Homogeneous coordinate ring of a toric variety, revised version. arXiv (Cornell University).20 indexed citations
14.
Cox, David A. & Mark L. Green. (1990). Polynomial structures and generic Torelli for projective hypersurfaces. Compositio Mathematica. 73(2). 121–124.3 indexed citations
Cox, David A.. (1974). Tubular neighborhoods in the etale topology. Xerox University Microfilms eBooks.1 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.