Michael Vogt
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Finance top 10%
- Demography top 10%
- Statistics and Probability top 5%
- Co-authors
- Oliver LintonChristian HippLena BonevaRolf IsermannVojislav KecmanMatthias R. FenglerEnno MammenOliver B. Linton
- Topics
- Financial Risk and Volatility Modeling (9 papers)Statistical Methods and Inference (7 papers)Fault Detection and Control Systems (6 papers)
- Journals
- BiometrikaJournal of EconometricsJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Michael Vogt
29 papers receiving 278 citations
Peers
Comparison fields: 5 of 54
- Economics and Econometrics 139
- Management Science and Operations Research 77
- Finance 71
- Demography 62
- Statistics and Probability 49
Countries citing papers authored by Michael Vogt
This map shows the geographic impact of Michael Vogt'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 Michael Vogt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Vogt more than expected).
Fields of papers citing papers by Michael Vogt
This network shows the impact of papers produced by Michael Vogt. 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 Michael Vogt. The network helps show where Michael Vogt may publish in the future.
Co-authorship network of co-authors of Michael Vogt
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Vogt. A scholar is included among the top collaborators of Michael Vogt 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 Michael Vogt. Michael Vogt 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 | 9 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 20 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | On the Equality of Kernel AdaTron and Sequential Minimal Optimization in Classification and Regression Tasks and Alike Algorithms for Kernel Machines | 15 |
| 16 | 24 | |
| 17 | 51 | |
| 18 | 3 | |
| 19 | Fast Simulation Methods for the Detection of Reflection- and Crosstalk Effects During the Design of Complex Printed Circuit Boards. | 3 |
| 20 | 2 |
About Michael Vogt
Michael Vogt is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance, having authored 33 papers that have together received 292 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (9 papers), Statistical Methods and Inference (7 papers) and Fault Detection and Control Systems (6 papers). The work is most often cited by research in Finance (71 citations), Management Science and Operations Research (77 citations) and Statistics and Probability (49 citations). Michael Vogt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Oliver Linton, Christian Hipp, Lena Boneva, Rolf Isermann, Vojislav Kecman, Matthias R. Fengler, Enno Mammen, Oliver B. Linton, K. Pressel and Patrick Schwarz. Their work appears in journals such as Biometrika, Journal of Econometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.