Ben Hambly

3.3k citations
98 papers · 2.0k · 1 hit paper · h-index 25

Impact in

    • Mathematical Dynamics and Fractals
    • Stochastic processes and statistical mechanics
    • advanced mathematical theories
  • Finance top 2%
    • Stochastic processes and financial applications

Papers in

Ben Hambly

90 papers receiving 1.9k citations

Ben Hambly's Hit Papers

Recent advances in reinforcement learning in finance 2023 · 93 citations
930+1+2Years since publication255075

Peers

Ben Hambly
Comparison fields: 5 of 134
  • Mathematical Physics 803
  • Finance 457
  • Applied Mathematics 320
  • Condensed Matter Physics 351
  • Statistics and Probability 236
Replace Anton Wakolbinger with:
Anton Wakolbinger Germany
Steven N. Evans United States
Andris Abakuks United Kingdom
Maury Bramson United States
J. D. Biggins United Kingdom
Samuel J. Taylor United States
David Levin United States
Erwin Bolthausen Switzerland
Kathryn Prewitt United States
Rabi Bhattacharya United States
Ben Hambly relative to Anton Wakolbinger Germany Anton Wakolbinger's profile →
Citations per field
00.5×4.9×
Anton Wakolbinger · 1×
Citations per year

Countries citing papers authored by Ben Hambly

Since Specialization
Citations

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

Fields of papers citing papers by Ben Hambly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996490
2
Monte Carlo methods for the valuation of multiple exercise options
200395
3
Recent advances in reinforcement learning in finance
Hit paper breakdown →
202393
4 200989
5 199481
6 199972
7 201848
8 199247
9 199745
10 201237
11 202137
12 200936
13 202135
14 200033
15 201431
16 201130
17 200329
18 200227
19 200027
20 201927

About Ben Hambly

Ben Hambly is a scholar working on Mathematical Physics, Condensed Matter Physics, Finance, Computational Theory and Mathematics and Statistics and Probability, having authored 98 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (40 papers), Theoretical and Computational Physics (39 papers), Mathematical Dynamics and Fractals (38 papers), Stochastic processes and financial applications (33 papers), Advanced Mathematical Modeling in Engineering (10 papers), Markov Chains and Monte Carlo Methods (8 papers), Credit Risk and Financial Regulations (8 papers) and Complex Systems and Time Series Analysis (8 papers). The work is most often cited by research in Mathematical Physics (803 citations), Finance (457 citations), Applied Mathematics (320 citations), Condensed Matter Physics (351 citations) and Statistics and Probability (236 citations). Ben Hambly has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Helga Stoyan, Dietrich Stoyan, Takashi Kumagai, Renyuan Xu, Nicolai Meinshausen, Terry Lyons, Sam Howison, David A. Croydon, Martin T. Barlow and Jean Martin. Their work appears in journals such as Stochastic Processes and their Applications, Advances in Applied Probability, Electronic Journal of Probability, Probability Theory and Related Fields and Journal of Applied Probability.

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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