Jennifer Chan

80 papers and 1.5k indexed citations i.

About

Jennifer Chan is a scholar working on Statistics and Probability, Economics and Econometrics and Finance. According to data from OpenAlex, Jennifer Chan has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 26 papers in Economics and Econometrics and 23 papers in Finance. Recurrent topics in Jennifer Chan’s work include Statistical Methods and Bayesian Inference (23 papers), Financial Risk and Volatility Modeling (20 papers) and Bayesian Methods and Mixture Models (19 papers). Jennifer Chan is often cited by papers focused on Statistical Methods and Bayesian Inference (23 papers), Financial Risk and Volatility Modeling (20 papers) and Bayesian Methods and Mixture Models (19 papers). Jennifer Chan collaborates with scholars based in Australia, Hong Kong and United States. Jennifer Chan's co-authors include Shelton Peiris, S. T. Boris Choy, Anthony Y. C. Kuk, Yeh Lam, Nick James, Max Menzies, James Bell, Kok Haur Ng, Philip L. H. Yu and Gareth W. Peters and has published in prestigious journals such as Science, Biometrics and Statistics in Medicine.

In The Last Decade

Co-authorship network of co-authors of Jennifer Chan i

Fields of papers citing papers by Jennifer Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer Chan

Since Specialization
Citations

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