Bernhard Pfaff
Impact in
-
- Monetary Policy and Economic Impact
- Finance top 5%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
Papers in
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- Stock Market Forecasting Methods 1
- Forecasting Techniques and Applications 1
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- Advanced Optimization Algorithms Research 1
- Co-authors
- Alexander J. McNeil (1 shared paper)
- Journals
- Journal of Statistical Software (1 paper)SHILAP Revista de lepidopterología (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
In The Last Decade
Bernhard Pfaff
9 papers receiving 545 citations
Peers
Comparison fields: 5 of 122
- General Economics, Econometrics and Finance 124
- Finance 105
- Economics and Econometrics 258
- Management Science and Operations Research 92
- General Energy 6
Countries citing papers authored by Bernhard Pfaff
This map shows the geographic impact of Bernhard Pfaff'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 Bernhard Pfaff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Pfaff more than expected).
Fields of papers citing papers by Bernhard Pfaff
This network shows the impact of papers produced by Bernhard Pfaff. 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 Bernhard Pfaff. The network helps show where Bernhard Pfaff may publish in the future.
Co-authors
The 1 scholars most cited alongside Bernhard Pfaff, 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 | 2008 | 307 | |
| 2 | 2008 | 207 | |
| 3 | VAR, SVAR and SVEC Models: Implementation Within R Package vars | 2008 | 33 |
| 4 | 2016 | 29 | |
| 5 | 2012 | 14 | |
| 6 | Unit root and cointegration tests for time series data | 2016 | 2 |
| 7 | VAR Modelling [R package vars version 1.5-3] | 2018 | 1 |
| 8 | Extreme Values in R [R package evir version 1.7-4] | 2018 | 1 |
| 9 | Unit Root and Cointegration Tests for Time Series Data [R package urca version 1.3-0] | 2016 | 1 |
| 10 | Cone Constrained Convex Problems | 2015 | 0 |
About Bernhard Pfaff
Bernhard Pfaff is a scholar working on Management Science and Operations Research, Numerical Analysis, Finance, Ocean Engineering and General Economics, Econometrics and Finance, having authored 10 papers that have together received 595 indexed citations. Recurring topics across this work include Optimization and Packing Problems (1 paper), Advanced Optimization Algorithms Research (1 paper), Stochastic processes and financial applications (1 paper), Monetary Policy and Economic Impact (1 paper), Reservoir Engineering and Simulation Methods (1 paper), Stock Market Forecasting Methods (1 paper), Market Dynamics and Volatility (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (124 citations), Finance (105 citations), Economics and Econometrics (258 citations), Management Science and Operations Research (92 citations) and General Energy (6 citations). Frequent co-authors include Alexander J. McNeil. Their work appears in journals such as Journal of Statistical Software, SHILAP Revista de lepidopterología and CERN Document Server (European Organization for Nuclear Research).
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.