David Bayer
Impact in
- Algebra and Number Theory top 5%
- Commutative Algebra and Its Applications
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
Papers in
-
- Polynomial and algebraic computation 6
- Matrix Theory and Algorithms 2
- Optimization and Variational Analysis 2
-
- Commutative Algebra and Its Applications 3
- Co-authors
- Michael Stillman (3 shared papers)Jeffrey C. Lagarias (3 shared papers)J. Tersoff (1 shared paper)Ian Morrison (1 shared paper)Péter Balázs (1 shared paper)Asghar Rahimi (1 shared paper)Roland Leser (1 shared paper)
- Journals
- Transactions of the American Mathematical Society (2 papers)Inventiones mathematicae (1 paper)Duke Mathematical Journal (1 paper)Journal of Physics A Mathematical and Theoretical (1 paper)Mathematical Programming (1 paper)
- Partner nations
- United StatesAustriaIran
In The Last Decade
David Bayer
10 papers receiving 567 citations
Peers
Comparison fields: 5 of 63
- Algebra and Number Theory 292
- Numerical Analysis 196
- Geometry and Topology 240
- Computational Theory and Mathematics 420
- Discrete Mathematics and Combinatorics 33
Countries citing papers authored by David Bayer
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
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-authors
The 7 scholars most cited alongside David Bayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 193 | |
| 2 | 1989 | 130 | |
| 3 | 1989 | 72 | |
| 4 | 1987 | 57 | |
| 5 | 1983 | 49 | |
| 6 | 1988 | 47 | |
| 7 | 2012 | 40 | |
| 8 | 1988 | 34 | |
| 9 | 1991 | 20 | |
| 10 | 2017 | 14 |
About David Bayer
David Bayer is a scholar working on Computational Theory and Mathematics, Algebra and Number Theory, Numerical Analysis, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 10 papers that have together received 656 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (6 papers), Advanced Optimization Algorithms Research (3 papers), Commutative Algebra and Its Applications (3 papers), Matrix Theory and Algorithms (2 papers), Optimization and Variational Analysis (2 papers), Algebraic Geometry and Number Theory (2 papers), Biofield Effects and Biophysics (1 paper) and Sports Dynamics and Biomechanics (1 paper). The work is most often cited by research in Algebra and Number Theory (292 citations), Numerical Analysis (196 citations), Geometry and Topology (240 citations), Computational Theory and Mathematics (420 citations) and Discrete Mathematics and Combinatorics (33 citations). David Bayer has collaborated with scholars based in United States, Austria and Iran. Frequent co-authors include Michael Stillman, Jeffrey C. Lagarias, J. Tersoff, Ian Morrison, Péter Balázs, Asghar Rahimi and Roland Leser. Their work appears in journals such as Transactions of the American Mathematical Society, Inventiones mathematicae, Duke Mathematical Journal, Journal of Physics A Mathematical and Theoretical and Mathematical Programming.
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.