David Cox

41 papers receiving 2.6k citations

David Cox's Hit Papers

Using Algebraic Geometry 1998 · 518 citations
5180+11+22Years since publication200400600

Peers

David Cox
Comparison fields: 5 of 147
  • Computational Mathematics 69
  • Algebra and Number Theory 526
  • Computational Theory and Mathematics 1.1k
  • Geometry and Topology 584
  • Discrete Mathematics and Combinatorics 119
Replace Daniel Lazard with:
Daniel Lazard France
George E. Collins United States
Ioannis Z. Emiris Greece
L. Mirsky United Kingdom
James McKee United Kingdom
Stefano Serra‐Capizzano Italy
Leslie Hogben United States
Bernard Mourrain France
Peter McMullen United Kingdom
Harm Derksen United States
David Cox relative to Daniel Lazard France Daniel Lazard's profile →
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Citations per year

Countries citing papers authored by David Cox

Since Specialization
Citations

This map shows the geographic impact of David 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 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 Cox more than expected).

Fields of papers citing papers by David Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David 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 Cox. The network helps show where David Cox may publish in the future.

Co-authors

The 25 scholars most cited alongside David Cox, 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 David Cox Line = papers co-authored together David Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ideals, Varieties, and Algorithms
Hit paper breakdown →
1992640
2
Using Algebraic Geometry
Hit paper breakdown →
1998518
3 1997277
4 1997217
5 2018152
6 2006145
7 200886
8 198384
9 198675
10 198369
11 200053
12 200351
13 200547
14 201732
15 198332
16 201131
17 199730
18 198227
19 200827
20 201527

About David Cox

David Cox is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Molecular Biology, Geometry and Topology and Computational Mechanics, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Polynomial and algebraic computation (14 papers), Commutative Algebra and Its Applications (9 papers), Advanced Numerical Analysis Techniques (7 papers), Spinal Cord Injury Research (5 papers), Algebraic Geometry and Number Theory (5 papers), Fungal and yeast genetics research (4 papers), Substance Abuse Treatment and Outcomes (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Computational Mathematics (69 citations), Algebra and Number Theory (526 citations), Computational Theory and Mathematics (1.1k citations), Geometry and Topology (584 citations) and Discrete Mathematics and Combinatorics (119 citations). David Cox has collaborated with scholars based in United States, Canada and Argentina. Frequent co-authors include John B. Little, Donal O’Shea, David W. Russell, Valerie M. Williamson, Samir P. Patel, Alexander G. Rabchevsky, Jenna L. Gollihue, Patrick G. Sullivan, Elton T. Young and Fernando Cardozo‐Pelaez. Their work appears in journals such as Molecular and Cellular Biology, Journal of Neurotrauma, Experimental Neurology, Drug and Alcohol Dependence and Proceedings of the American Mathematical Society.

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.

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