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 Sam Howison sits on this spectrum.
This scientist: 164 publications — 46th percentile
46% 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 Sam Howison sits on this spectrum.
This scientist: 43 D-Index — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Sam Howison is affiliated with the University of Oxford in the United Kingdom. Their research primarily falls within the field of Economics, Econometrics and Finance, with a notable focus on Finance and associated subfields such as Economics and Econometrics, Management Science and Operations Research, Statistical and Nonlinear Physics, and Computational Theory and Mathematics.
Howison's work spans several key topics including stochastic processes and financial applications, complex systems and time series analysis, stock market forecasting methods, financial risk and volatility modeling, market dynamics and volatility, capital investment and risk analysis, as well as financial markets and investment strategies.
The recent papers authored or co-authored by Howison illustrate a range of interests across economics, finance, and applied mathematics. These include:
Their frequent co-authors include researchers who have contributed extensively to the fields of network science, applied mathematics, and finance. Prominent collaborators are Mihai Cucuringu, Mason A. Porter, Jakob Albers, Alexander Y. Shestopaloff, and Nikolas Michael.
The publication venues selected by Howison reflect interdisciplinary engagement across quantitative finance, applied mathematics, and economics. These venues include the SSRN Electronic Journal, arXiv (Cornell University), Applied Mathematical Finance, European Journal of Applied Mathematics, and Quantitative Finance.
Paul Wilmott;Sam Howison;Jeff Dewynne
Paul Wilmott;Jeff Dewynne;Sam Howison
Paul Wilmott;Sam Howison;Jeff Dewynne
S. D. Howison;J. R. Ockendon;S. K. Wilson
John Ockendon;Sam Howison;Andrew Lacey;Alexander Movchan
S. J. Chapman;S. D. Howison;J. R. Ockendon
S. D. Howison
S. D. Howison
Marya Bazzi;Mason A. Porter;Stacy Williams;Mark McDonald
Patrick S. Stumpf;Rosanna C.G. Smith;Michael Lenz;Michael Lenz;Andreas Schuppert
Paul Wilmott;sam Howison;Jeff Dewaynne
S. D. Howison
Michael Siegel;Russel E. Caflisch;S. A. M. Howison
S.D. Howison;J.F. Rodrigues;M. Shillor
Ben Hambly;Sam Howison;Tino Kluge
Michael Coulon;Sam Howison
Sam Howison;Avraam Rafailidis;Henrik Rasmussen
Mark McDonald;Omer Suleman;Stacy Williams;Sam Howison
Nicholas Jackson;Endre Suli;Sam Howison
S. D. Howison;J. R. Ockendon;A. A. Lacey
If you think any of the details on this page are incorrect, let us know.
For students completing a Mathematics degree in the USA, numerous online graduate programs offer pathways to enhance their careers. Many consider pursuing an MBA to complement their analytical skills, especially those exploring can you transfer mba credits options. This flexibility helps students accelerate their studies and reduce expenses by transferring previous coursework.
Data analytics is another thriving field that integrates well with a math background. A data analytics masters program can prepare students for roles in big data, finance, or technology sectors, providing practical skills alongside theoretical knowledge.
For those seeking quicker or more accessible graduate studies, exploring mba programs easy to get into offers a strategic route. These programs often have lower admission barriers, making advanced business education more attainable.
Additionally, many candidates prioritize time-efficiency. The easiest and fastest online mba programs combine convenience with affordability, allowing graduates to swiftly enter the workforce or advance their current careers.
Chinese Academy of Sciences
Wageningen University & Research
University of California, Davis
National University of Singapore
Marwadi University
Linköping University
Goddard Space Flight Center
Maastricht University
Australian National University
University of California, Riverside
Kanazawa University
Hasso Plattner Institute
Chinese Academy of Sciences
Utah State University
Polish Academy of Sciences
University of Western Australia
