Richard Gerlach
- Finance top 0.5%
- Economics and Econometrics top 1%
- General Economics, Econometrics and Finance top 2%
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Co-authors
- Cathy W. S. ChenRobert KohnChris CarterFrank TuylQian ChenEdward M.H. LinRalf ZurbrueggKerrie Mengersen
- Topics
- Financial Risk and Volatility Modeling (57 papers)Monetary Policy and Economic Impact (26 papers)Market Dynamics and Volatility (25 papers)
In The Last Decade
Richard Gerlach
88 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Finance 903
- Economics and Econometrics 764
- General Economics, Econometrics and Finance 395
- Statistics and Probability 355
- Management Science and Operations Research 216
Countries citing papers authored by Richard Gerlach
This map shows the geographic impact of Richard Gerlach'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 Richard Gerlach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Gerlach more than expected).
Fields of papers citing papers by Richard Gerlach
This network shows the impact of papers produced by Richard Gerlach. 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 Richard Gerlach. The network helps show where Richard Gerlach may publish in the future.
Co-authorship network of co-authors of Richard Gerlach
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Gerlach. A scholar is included among the top collaborators of Richard Gerlach 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 Richard Gerlach. Richard Gerlach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 30 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | Bayesian Estimation for Parsimonious Threshold Autoregressive Models in R | 8 |
| 13 | 15 | |
| 14 | 49 | |
| 15 | A Bayesian model averaging approach to enhance value investment | 3 |
| 16 | PERMANENT AND TRANSITORY DRIVERS OF SECURITISED REAL ESTATE | 1 |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 10 | |
| 20 | 40 |
About Richard Gerlach
Richard Gerlach is a scholar working on Finance, General Economics, Econometrics and Finance and Statistics and Probability, having authored 91 papers that have together received 1.6k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (57 papers), Monetary Policy and Economic Impact (26 papers) and Market Dynamics and Volatility (25 papers). The work is most often cited by research in Finance (903 citations), General Economics, Econometrics and Finance (395 citations) and Statistics and Probability (355 citations). Richard Gerlach has collaborated with scholars based in Australia, Taiwan and Hong Kong. Frequent co-authors include Cathy W. S. Chen, Robert Kohn, Chris Carter, Frank Tuyl, Qian Chen, Edward M.H. Lin, Ralf Zurbruegg, Kerrie Mengersen, Zudi Lu and Patrick Wilson. Their work appears in journals such as Journal of the American Statistical Association, Expert Systems with Applications and IEEE Access.
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.