David Bayer

1.2k total citations
10 papers, 656 citations indexed

About

David Bayer is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory and Numerical Analysis. According to data from OpenAlex, David Bayer has authored 10 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 4 papers in Algebra and Number Theory and 3 papers in Numerical Analysis. Recurrent topics in David Bayer's work include Polynomial and algebraic computation (6 papers), Commutative Algebra and Its Applications (3 papers) and Advanced Optimization Algorithms Research (3 papers). David Bayer is often cited by papers focused on Polynomial and algebraic computation (6 papers), Commutative Algebra and Its Applications (3 papers) and Advanced Optimization Algorithms Research (3 papers). David Bayer collaborates with scholars based in United States, Austria and Iran. David Bayer's co-authors include Michael Stillman, Jeffrey C. Lagarias, J. Tersoff, Ian Morrison, Péter Balázs, Asghar Rahimi and Roland Leser and has published in prestigious journals such as Physical Review Letters, Mathematical Programming and Transactions of the American Mathematical Society.

In The Last Decade

David Bayer

10 papers receiving 567 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Bayer United States	10	420	292	240	196	67	10	656
H. Michael Möller Germany	14	487 1.2×	239 0.8×	185 0.8×	70 0.4×	200 3.0×	24	636
I. Zaballa Spain	13	522 1.2×	231 0.8×	139 0.6×	161 0.8×	17 0.3×	68	682
D.D. Olesky Canada	15	600 1.4×	113 0.4×	237 1.0×	111 0.6×	14 0.2×	93	780
Karin Gatermann Germany	11	242 0.6×	61 0.2×	84 0.3×	121 0.6×	73 1.1×	26	497
Victor Vinnikov Israel	14	279 0.7×	213 0.7×	236 1.0×	102 0.5×	33 0.5×	55	723
Lawrence A. Fialkow United States	17	500 1.2×	285 1.0×	71 0.3×	242 1.2×	60 0.9×	51	985
Néstor Thome Spain	19	940 2.2×	331 1.1×	102 0.4×	297 1.5×	25 0.4×	79	1.0k
Ilya M. Spitkovsky United States	14	459 1.1×	213 0.7×	104 0.4×	76 0.4×	35 0.5×	125	866
Évelyne Hubert France	13	212 0.5×	96 0.3×	146 0.6×	72 0.4×	106 1.6×	43	433
David Handelman Canada	20	455 1.1×	922 3.2×	602 2.5×	85 0.4×	15 0.2×	84	1.5k

Countries citing papers authored by David Bayer

Since Specialization

Citations

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

Fields of papers citing papers by David Bayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of David Bayer. A scholar is included among the top collaborators of David Bayer 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 Bayer. David Bayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Bayer, David, et al.. (2017). A comparison of the playing structure in elite kids tennis on two different scaled courts. International Journal of Performance Analysis in Sport. 17(1-2). 34–43. 14 indexed citations

2.

Balázs, Péter, David Bayer, & Asghar Rahimi. (2012). Multipliers for continuous frames in Hilbert spaces. Journal of Physics A Mathematical and Theoretical. 45(24). 244023–244023. 40 indexed citations

3.

Bayer, David & Jeffrey C. Lagarias. (1991). Karmarkar's linear programming algorithm and Newton's method. Mathematical Programming. 50(1-3). 291–330. 20 indexed citations

4.

Bayer, David & Jeffrey C. Lagarias. (1989). The nonlinear geometry of linear programming. II. Legendre transform coordinates and central trajectories. Transactions of the American Mathematical Society. 314(2). 527–527. 72 indexed citations

5.

Bayer, David & Jeffrey C. Lagarias. (1989). The nonlinear geometry of linear programming. I. Affine and projective scaling trajectories. Transactions of the American Mathematical Society. 314(2). 499–499. 130 indexed citations

6.

Bayer, David & Michael Stillman. (1988). On the complexity of computing syzygies. Journal of Symbolic Computation. 6(2-3). 135–147. 47 indexed citations

7.

Bayer, David & Ian Morrison. (1988). Standard bases and geometric invariant theoryI. Initial ideals and state polytopes. Journal of Symbolic Computation. 6(2-3). 209–217. 34 indexed citations

8.

Bayer, David & Michael Stillman. (1987). A criterion for detectingm-regularity. Inventiones mathematicae. 87(1). 1–11. 193 indexed citations

9.

Bayer, David & Michael Stillman. (1987). A theorem on refining division orders by the reverse lexicographic order. Duke Mathematical Journal. 55(2). 57 indexed citations

10.

Tersoff, J. & David Bayer. (1983). Quantum Statistics for Distinguishable Particles. Physical Review Letters. 50(8). 553–554. 49 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.

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