John W. Lau

28 papers and 506 indexed citations i.

About

John W. Lau is a scholar working on Finance, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, John W. Lau has authored 28 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Finance, 14 papers in Artificial Intelligence and 11 papers in Statistics and Probability. Recurrent topics in John W. Lau’s work include Bayesian Methods and Mixture Models (14 papers), Financial Risk and Volatility Modeling (12 papers) and Stochastic processes and financial applications (7 papers). John W. Lau is often cited by papers focused on Bayesian Methods and Mixture Models (14 papers), Financial Risk and Volatility Modeling (12 papers) and Stochastic processes and financial applications (7 papers). John W. Lau collaborates with scholars based in Australia, Hong Kong and United Kingdom. John W. Lau's co-authors include Tak Kuen Siu, Hailiang Yang, Robert J. Elliott, Leunglung Chan, Edward Cripps, Mike K. P. So, Jeffrey S. Phillips, Melinda Hodkiewicz, Natalia L. Komarova and Dominik Wodarz and has published in prestigious journals such as IEEE Transactions on Automatic Control, The American Naturalist and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of John W. Lau i

Fields of papers citing papers by John W. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Lau. 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 John W. Lau. The network helps show where John W. Lau may publish in the future.

Countries citing papers authored by John W. Lau

Since Specialization
Citations

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

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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2025