The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where David H. Bailey sits on this spectrum.
This scientist: 210 publications — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where David H. Bailey sits on this spectrum.
This scientist: 55 D-Index — 79th percentile
79% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
David H. Bailey is affiliated with Lawrence Berkeley National Laboratory in the United States. Their work spans multiple fields, primarily focusing on Economics, Econometrics and Finance, as well as Social Sciences.
The main subfields of study covered by their research include Finance, Economics and Econometrics, Sociology and Political Science, Political Science and International Relations, and Computational Theory and Mathematics. Their research topics cover a range of areas such as Financial Markets and Investment Strategies, Financial Risk and Volatility Modeling, Social Media and Politics, Numerical Methods and Algorithms, Complex Systems and Time Series Analysis, History and Theory of Mathematics, and Social and Cultural Dynamics.
David H. Bailey has published papers in various scholarly venues, with frequent contributions to:
Some notable papers authored or co-authored by Bailey include:
In addition to journal articles, Bailey has contributed to book publications. These include titles published by Oxford University Press and Springer International Publishing, such as "Competition Law" (2024) and "From Analysis to Visualization" (2020).
Their frequent collaborators feature several researchers with whom they have co-authored multiple works, including:
D. H. Bailey;E. Barszcz;J. T. Barton;D. S. Browning
D.H. Bailey;E. Barszcz;J.T. Barton;D.S. Browning
Dan Zuras;Mike Cowlishaw;Alex Aiken;Matthew Applegate
David Bailey;Peter Borwein;Simon Plouffe
D.H. Bailey;E. Barszcz;L. Dagum;H.D. Simon
D. H. Bailey
David H. Bailey;Paul N. Swarztrauber
Victoria Stodden;Marcia McNutt;David H. Bailey;Ewa Deelman
Jonathan M. Borwein;David H. Bailey;Roland Girgensohn
Y. Hida;X.S. Li;D.H. Bailey
Cindy Rubio-González;Cuong Nguyen;Hong Diep Nguyen;James Demmel
Helaman R. P. Ferguson;David H. Bailey;Steve Arno
Xiaoye S. Li;James W. Demmel;David H. Bailey;Greg Henry
David H. Bailey
David H. Bailey
David H. Bailey;Marcos M. López de Prado
David H. Bailey
David H. Bailey;Jonathan M. Borwein;Marcos López de Prado;Qiji Jim Zhu
J. M. Borwein;P. B. Borwein;D. H. Bailey
David H. Bailey;David J. Broadhurst
David H. Bailey;Jonathan M. Borwein;David Broadhurst;M. L. Glasser
David H. Bailey;Hida Yozo;Xiaoye S. Li;Brandon Thompson
X.S. Li;J.W. Demmel;D.H. Bailey;G. Henry
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Studying Mathematics in the USA opens doors to various advanced degree options and career pathways. Many students consider pursuing an online MBA to combine quantitative skills with business knowledge. When exploring options, it's important to understand the availability of transfer credits for online mba programs, which can reduce time and cost by recognizing prior coursework.
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If flexibility and ease of admission are priorities, exploring the easiest mba and easiest online mba programs can offer accessible pathways to upgrade your credentials without compromising quality.
Combining mathematics with business or data-focused graduate programs can significantly broaden career prospects, making these related online degrees valuable options for current and aspiring mathematicians.
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