Feike C. Drost
- Finance top 1%
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 2%
- Statistics and Probability top 2%
- Management Science and Operations Research top 10%
- Co-authors
- Theo NijmanBas J. M. WerkerChris A. J. KlaassenGloria González‐RiveraFrank de JongJ. OosterhoffW.C.M. KallenbergDavid S. Moore
- Topics
- Financial Risk and Volatility Modeling (15 papers)Monetary Policy and Economic Impact (12 papers)Statistical Methods and Inference (10 papers)
- Partner nations
- NetherlandsUnited StatesBelgium
In The Last Decade
Feike C. Drost
31 papers receiving 909 citations
Peers
Comparison fields: 5 of 58
- Finance 832
- Economics and Econometrics 550
- General Economics, Econometrics and Finance 350
- Statistics and Probability 231
- Management Science and Operations Research 64
Countries citing papers authored by Feike C. Drost
This map shows the geographic impact of Feike C. Drost'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 Feike C. Drost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feike C. Drost more than expected).
Fields of papers citing papers by Feike C. Drost
This network shows the impact of papers produced by Feike C. Drost. 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 Feike C. Drost. The network helps show where Feike C. Drost may publish in the future.
Co-authorship network of co-authors of Feike C. Drost
This figure shows the co-authorship network connecting the top 25 collaborators of Feike C. Drost. A scholar is included among the top collaborators of Feike C. Drost 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 Feike C. Drost. Feike C. Drost is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 55 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 35 | |
| 12 | 26 | |
| 13 | 30 | |
| 14 | 20 | |
| 15 | 1 | |
| 16 | 85 | |
| 17 | 25 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | Asymptotics for generalized chi-square goodness-of-fit tests | 8 |
About Feike C. Drost
Feike C. Drost is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (15 papers), Monetary Policy and Economic Impact (12 papers) and Statistical Methods and Inference (10 papers). The work is most often cited by research in Finance (832 citations), General Economics, Econometrics and Finance (350 citations) and Statistics and Probability (231 citations). Feike C. Drost has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Theo Nijman, Bas J. M. Werker, Chris A. J. Klaassen, Gloria González‐Rivera, Frank de Jong, J. Oosterhoff, W.C.M. Kallenberg, David S. Moore and Noel Cressie. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and Journal of Econometrics.
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.