John W. Lau

31 papers and 502 indexed citations
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About

John W. Lau is a scholar working on Artificial Intelligence, Finance and Statistics and Probability. According to data from OpenAlex, John W. Lau has authored 31 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Finance and 10 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 (13 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 (13 papers) and Stochastic processes and financial applications (7 papers). John W. Lau collaborates with scholars based in Australia, United Kingdom and Hong Kong. John W. Lau's co-authors include Tak Kuen Siu, Hailiang Yang, Robert J. Elliott, Edward Cripps, Leunglung Chan, Jeffrey S. Phillips, Melinda Hodkiewicz, Mike K. P. So, Dominik Wodarz and Natalia L. Komarova and has published in prestigious journals such as The American Naturalist, IEEE Transactions on Automatic Control and PLoS Computational Biology.

In The Last Decade

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

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Lau. A scholar is included among the top collaborators of John W. Lau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John W. Lau. John W. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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