David E Speyer

33 papers receiving 695 citations

Peers

David E Speyer
Comparison fields: 5 of 55
  • Discrete Mathematics and Combinatorics 389
  • Geometry and Topology 551
  • Algebra and Number Theory 236
  • Computational Mathematics 16
  • Computational Theory and Mathematics 321
Replace Lauren Williams with:
Lauren Williams United States
Thomas Lam United States
Boris Shapiro Sweden
I. P. Goulden Canada
Laurent Manivel France
James United Kingdom
Corrado De Concini Italy
Mark Haiman United States
Alain Lascoux France
Benson Farb United States
David E Speyer relative to Lauren Williams United States Lauren Williams's profile →
Citations per field
00.5×1.5×2.0×
Lauren Williams · 1×
Citations per year

Countries citing papers authored by David E Speyer

Since Specialization
Citations

This map shows the geographic impact of David E Speyer'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 E Speyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E Speyer more than expected).

Fields of papers citing papers by David E Speyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside David E Speyer, 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 E Speyer Line = papers co-authored together David E Speyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200670
2 200670
3 200867
4 201362
5 200558
6 200944
7 201542
8 200841
9 200938
10 200933
11 200432
12 200428
13 201727
14 200826
15 201024
16 200822
17 201216
18 200514
19 200513
20 201811

About David E Speyer

David E Speyer is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Mathematical Physics and Algebra and Number Theory, having authored 38 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced Combinatorial Mathematics (20 papers), Algebraic structures and combinatorial models (17 papers), Polynomial and algebraic computation (8 papers), Advanced Algebra and Geometry (7 papers), Algebraic Geometry and Number Theory (6 papers), Commutative Algebra and Its Applications (5 papers), Advanced Topics in Algebra (4 papers) and Homotopy and Cohomology in Algebraic Topology (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (389 citations), Geometry and Topology (551 citations), Algebra and Number Theory (236 citations), Computational Mathematics (16 citations) and Computational Theory and Mathematics (321 citations). David E Speyer has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Lauren Williams, Bernd Sturmfels, Nathan Reading, Alexander Postnikov, Allen Knutson, Thomas Lam, Rekha R. Thomas, Anders Jensen, Lior Pachter and T. Kyle Petersen. Their work appears in journals such as Journal of Algebraic Combinatorics, Duke Mathematical Journal, Proceedings of the London Mathematical Society, The Electronic Journal of Combinatorics and Journal of Combinatorial Theory Series A.

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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