Michael Vogt

717 total citations
33 papers, 292 citations indexed

About

Michael Vogt is a scholar working on Finance, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Michael Vogt has authored 33 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Finance, 8 papers in Economics and Econometrics and 7 papers in Artificial Intelligence. Recurrent topics in Michael Vogt's work include Financial Risk and Volatility Modeling (9 papers), Statistical Methods and Inference (7 papers) and Fault Detection and Control Systems (6 papers). Michael Vogt is often cited by papers focused on Financial Risk and Volatility Modeling (9 papers), Statistical Methods and Inference (7 papers) and Fault Detection and Control Systems (6 papers). Michael Vogt collaborates with scholars based in Germany, United Kingdom and United States. Michael Vogt's 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 and has published in prestigious journals such as Biometrika, Journal of Econometrics and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Michael Vogt

29 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Vogt Germany 10 139 77 71 62 49 33 292
Zifeng Zhao United States 9 79 0.6× 25 0.3× 74 1.0× 10 0.2× 69 1.4× 30 258
Bogdan Grechuk United Kingdom 10 63 0.5× 140 1.8× 79 1.1× 16 0.3× 31 0.6× 29 251
A. Alexandre Trindade United States 9 75 0.5× 60 0.8× 97 1.4× 5 0.1× 73 1.5× 49 334
Daniel Andersson Sweden 7 69 0.5× 91 1.2× 183 2.6× 77 1.2× 9 0.2× 27 330
Ke Yu China 7 125 0.9× 119 1.5× 230 3.2× 7 0.1× 80 1.6× 13 395
Xianhua Peng United States 9 112 0.8× 171 2.2× 170 2.4× 24 0.4× 26 0.5× 16 331
Hao Xing United States 11 132 0.9× 51 0.7× 251 3.5× 32 0.5× 8 0.2× 55 395
Harry Zheng United Kingdom 12 126 0.9× 148 1.9× 307 4.3× 80 1.3× 12 0.2× 72 502
Maciej Romaniuk Poland 10 141 1.0× 124 1.6× 104 1.5× 90 1.5× 77 1.6× 26 280

Countries citing papers authored by Michael Vogt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mammen, Enno, et al.. (2020). Calendar effect and in-sample forecasting. Insurance Mathematics and Economics. 96. 31–52.
2.
Vogt, Michael & Oliver Linton. (2020). Multiscale clustering of nonparametric regression curves. Journal of Econometrics. 216(1). 305–325. 9 indexed citations
3.
Vogt, Michael. (2019). On the differences betweenL2Boosting and the Lasso. Statistics & Probability Letters. 157. 108634–108634. 1 indexed citations
4.
Pressel, K., et al.. (2018). Process technology and integration of an LED driver using chip-embedding technology. 1–7. 2 indexed citations
5.
Vogt, Michael. (2018). An overview of deep learning techniques. at - Automatisierungstechnik. 66(9). 690–703. 7 indexed citations
7.
Fengler, Matthias R., Enno Mammen, & Michael Vogt. (2015). Specification and structural break tests for additive models with applications to realized variance data. Journal of Econometrics. 188(1). 196–218. 12 indexed citations
9.
Boneva, Lena, Oliver Linton, & Michael Vogt. (2015). The Effect of Fragmentation in Trading on Market Quality in the UK Equity Market. Journal of Applied Econometrics. 31(1). 192–213. 20 indexed citations
10.
Vogt, Michael & Oliver Linton. (2014). Nonparametric estimation of a periodic sequence in the presence of a smooth trend. Biometrika. 101(1). 121–140. 11 indexed citations
11.
Linton, Oliver B., et al.. (2013). A Semiparametric Model for Heterogeneous Panel Data with Fixed Effects. SSRN Electronic Journal. 5 indexed citations
12.
Linton, Oliver B., et al.. (2013). The Effect of Fragmentation in Trading on Market Quality in the UK Equity Market. SSRN Electronic Journal. 2 indexed citations
13.
Vogt, Michael. (2008). Support Vector Machines for Identification and Classification Problems in Control Engineering. at - Automatisierungstechnik. 56(7). 391–391. 6 indexed citations
14.
Vogt, Michael, et al.. (2005). IDENTIFICATION OF A HYDRAULIC SERVO-AXIS USING SUPPORT VECTOR MACHINES. IFAC Proceedings Volumes. 38(1). 722–727. 5 indexed citations
15.
Kecman, Vojislav, et al.. (2003). On the Equality of Kernel AdaTron and Sequential Minimal Optimization in Classification and Regression Tasks and Alike Algorithms for Kernel Machines. TUbilio (Technical University of Darmstadt). 215–222. 15 indexed citations
16.
Hipp, Christian & Michael Vogt. (2003). Optimal Dynamic XL Reinsurance. Astin Bulletin. 33(2). 193–207. 24 indexed citations
17.
Hipp, Christian & Michael Vogt. (2003). Optimal Dynamic XL Reinsurance. Astin Bulletin. 33(2). 193–207. 51 indexed citations
18.
Griese, Elmar, et al.. (1994). Fast simulation method for the detection of reflection—and crosstalk effects during the design of complex printed circuit boards. European Design Automation Conference. 408–413. 3 indexed citations
19.
Griese, Elmar, et al.. (1994). Fast Simulation Methods for the Detection of Reflection- and Crosstalk Effects During the Design of Complex Printed Circuit Boards.. 408–413. 3 indexed citations
20.
Vogt, Michael, et al.. (1989). Output Error Identification of Hydrogenerator Conduit Dynamics. IEEE Power Engineering Review. 9(9). 34–35. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026