David Chan
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in
-
- Bayesian Methods and Mixture Models 5
-
- Statistical Methods and Inference 5
- Co-authors
- Robert Kohn (6 shared papers)M. Pitt (1 shared paper)Michael S. Smith (1 shared paper)Chris Kirby (4 shared papers)Tim Hesterberg (1 shared paper)Rong Ge (1 shared paper)Diane Lambert (1 shared paper)Honggang Xu (3 shared papers)
- Journals
- Journal of China Tourism Research (2 papers)International Journal of Hospitality Management (1 paper)Journal of Advertising Research (1 paper)Biometrika (1 paper)Journal of Computational and Graphical Statistics (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
David Chan
14 papers receiving 420 citations
Peers
Comparison fields: 5 of 81
- Statistics and Probability 204
- Finance 94
- Tourism, Leisure and Hospitality Management 13
- Marketing 60
- Artificial Intelligence 156
Countries citing papers authored by David Chan
This map shows the geographic impact of David 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 David Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chan more than expected).
Fields of papers citing papers by David Chan
This network shows the impact of papers produced by David 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 David Chan. The network helps show where David Chan may publish in the future.
Co-authors
The 13 scholars most cited alongside David Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 162 | |
| 2 | 2001 | 130 | |
| 3 | 2010 | 54 | |
| 4 | 2006 | 22 | |
| 5 | 2011 | 21 | |
| 6 | 2006 | 21 | |
| 7 | 2018 | 11 | |
| 8 | 2016 | 10 | |
| 9 | Challenges and Opportunities in Media Mix Modeling | 2017 | 8 |
| 10 | Bayesian Methods for Media Mix Modeling with Carryover and Shape Effects | 2017 | 7 |
| 11 | 2006 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2005 | 2 | |
| 14 | 2016 | 2 | |
| 15 | A Hierarchical Bayesian Approach to Improve Media Mix Models Using Category Data | 2017 | 2 |
| 16 | Geo-level Bayesian Hierarchical Media Mix Modeling | 2017 | 1 |
About David Chan
David Chan is a scholar working on Artificial Intelligence, Statistics and Probability, Tourism, Leisure and Hospitality Management, Communication and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 459 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (5 papers), Consumer Market Behavior and Pricing (3 papers), International Student and Expatriate Challenges (3 papers), Financial Risk and Volatility Modeling (3 papers), Hospitality and Tourism Education (3 papers), Human Resource and Talent Management (2 papers) and Monetary Policy and Economic Impact (2 papers). The work is most often cited by research in Statistics and Probability (204 citations), Finance (94 citations), Tourism, Leisure and Hospitality Management (13 citations), Marketing (60 citations) and Artificial Intelligence (156 citations). David Chan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Robert Kohn, M. Pitt, Michael S. Smith, Chris Kirby, Tim Hesterberg, Rong Ge, Diane Lambert, Honggang Xu, Jim Koehler and David J. Nott. Their work appears in journals such as Journal of China Tourism Research, International Journal of Hospitality Management, Journal of Advertising Research, Biometrika and Journal of Computational and Graphical Statistics.
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.