Paul M. Beaumont
- Economics and Econometrics top 5%
- Finance top 10%
- Sociology and Political Science
- General Economics, Econometrics and Finance top 10%
- Management Science and Operations Research
- Co-authors
- Andrew M. IssermanRobert WalkerStefan C. NorrbinAnuj SrivastavaDavid A. PlanePeter A. RogersonAdam RosePatrick T. Bradshaw
- Topics
- Financial Risk and Volatility Modeling (7 papers)Monetary Policy and Economic Impact (6 papers)Market Dynamics and Volatility (5 papers)
- Journals
- Journal of the American Statistical AssociationReview of Financial StudiesEcological Economics
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Paul M. Beaumont
26 papers receiving 258 citations
Peers
Comparison fields: 5 of 58
- Economics and Econometrics 186
- Finance 52
- Sociology and Political Science 41
- General Economics, Econometrics and Finance 40
- Management Science and Operations Research 28
Countries citing papers authored by Paul M. Beaumont
This map shows the geographic impact of Paul M. Beaumont'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 Paul M. Beaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul M. Beaumont more than expected).
Fields of papers citing papers by Paul M. Beaumont
This network shows the impact of papers produced by Paul M. Beaumont. 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 Paul M. Beaumont. The network helps show where Paul M. Beaumont may publish in the future.
Co-authorship network of co-authors of Paul M. Beaumont
This figure shows the co-authorship network connecting the top 25 collaborators of Paul M. Beaumont. A scholar is included among the top collaborators of Paul M. Beaumont 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 Paul M. Beaumont. Paul M. Beaumont 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 | 1 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models | 1 |
| 8 | Inference for likelihood-based estimators of generalized long-memory processes | 1 |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 42 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 15 | |
| 15 | 14 | |
| 16 | 24 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 7 |
About Paul M. Beaumont
Paul M. Beaumont is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 30 papers that have together received 283 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (7 papers), Monetary Policy and Economic Impact (6 papers) and Market Dynamics and Volatility (5 papers). The work is most often cited by research in Economics and Econometrics (186 citations), Finance (52 citations) and General Economics, Econometrics and Finance (40 citations). Paul M. Beaumont has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Andrew M. Isserman, Robert Walker, Stefan C. Norrbin, Anuj Srivastava, David A. Plane, Peter A. Rogerson, Adam Rose, Patrick T. Bradshaw, Huan Tang and Matthew Ando. Their work appears in journals such as Journal of the American Statistical Association, Review of Financial Studies and Ecological Economics.
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.