David H. Bailey

164 papers receiving 3.9k citations

Peers

David H. Bailey
Comparison fields: 5 of 150
  • Hardware and Architecture 1.1k
  • Algebra and Number Theory 481
  • Discrete Mathematics and Combinatorics 247
  • Theoretical Computer Science 69
  • Computational Theory and Mathematics 958
Replace Richard P. Brent with:
Richard P. Brent Australia
Robert Sedgewick United States
Volker Strassen Switzerland
Philippe Flajolet France
G.E. Whitesides United States
Ronald F. Boisvert United States
Olga Taussky United States
Alfred Tarski United States
Carl D. Meyer United States
Harald Niederreiter Austria
David H. Bailey relative to Richard P. Brent Australia Richard P. Brent's profile →
Citations per field
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Citations per year

Countries citing papers authored by David H. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by David H. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991388
2 2016235
3 2006216
4 2013170
5 2003164
6 1995151
7 1997132
8 2002132
9 2014108
10 2012101
11 199399
12 199495
13 200092
14 200491
15 201290
16 199388
17 200486
18 200872
19 200254
20 201454

About David H. Bailey

David H. Bailey is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Algebra and Number Theory, Artificial Intelligence and Computer Networks and Communications, having authored 175 papers that have together received 4.2k indexed citations. Recurring topics across this work include Numerical Methods and Algorithms (35 papers), Parallel Computing and Optimization Techniques (31 papers), Advanced Mathematical Identities (22 papers), Analytic Number Theory Research (20 papers), Distributed and Parallel Computing Systems (15 papers), Polynomial and algebraic computation (12 papers), Financial Markets and Investment Strategies (11 papers) and Advanced Combinatorial Mathematics (11 papers). The work is most often cited by research in Hardware and Architecture (1.1k citations), Algebra and Number Theory (481 citations), Discrete Mathematics and Combinatorics (247 citations), Theoretical Computer Science (69 citations) and Computational Theory and Mathematics (958 citations). David H. Bailey has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Jonathan M. Borwein, Marcos López de Prado, Roland Girgensohn, Richard E. Crandall, Peter Borwein, Horst D. Simon, Eric Barszcz, Leonardo Dagum, Simon Plouffe and Yozo Hida. Their work appears in journals such as Experimental Mathematics, Mathematics of Computation, Applied Mathematics and Computation, Journal of Physics B Atomic Molecular and Optical Physics and Computing in Science & Engineering.

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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