Michael C. Münnix
Impact in
- Finance top 5%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Economics and Econometrics top 5%
- Complex Systems and Time Series Analysis
- Market Dynamics and Volatility
Papers in
- Finance 8
- Financial Risk and Volatility Modeling 8
- Financial Markets and Investment Strategies 2
- Credit Risk and Financial Regulations 1
- Stochastic processes and financial applications 1
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- Complex Systems and Time Series Analysis 7
- Market Dynamics and Volatility 3
- Co-authors
- Rudi Schäfer (8 shared papers)Thomas Guhr (6 shared papers)T. H. Seligman (1 shared paper)F. Leyvraz (1 shared paper)H. Eugene Stanley (1 shared paper)Takashi Shimada (1 shared paper)Oliver Grothe (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)PLoS ONE (1 paper)Quantitative Finance (1 paper)International Journal of Theoretical and Applied Finance (1 paper)Europhysics Letters (EPL) (1 paper)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Michael C. Münnix
8 papers receiving 261 citations
Peers
Comparison fields: 5 of 43
- Finance 144
- Economics and Econometrics 220
- Statistical and Nonlinear Physics 61
- Management Science and Operations Research 39
- General Economics, Econometrics and Finance 18
Countries citing papers authored by Michael C. Münnix
This map shows the geographic impact of Michael C. Münnix'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 C. Münnix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Münnix more than expected).
Fields of papers citing papers by Michael C. Münnix
This network shows the impact of papers produced by Michael C. Münnix. 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 C. Münnix. The network helps show where Michael C. Münnix may publish in the future.
Co-authors
The 7 scholars most cited alongside Michael C. Münnix, 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 | 2012 | 152 | |
| 2 | 2010 | 36 | |
| 3 | 2009 | 16 | |
| 4 | 2014 | 14 | |
| 5 | 2011 | 14 | |
| 6 | 2012 | 12 | |
| 7 | 2011 | 12 | |
| 8 | 2011 | 10 |
About Michael C. Münnix
Michael C. Münnix is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 266 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (8 papers), Complex Systems and Time Series Analysis (7 papers), Market Dynamics and Volatility (3 papers), Financial Markets and Investment Strategies (2 papers), Stock Market Forecasting Methods (2 papers), Credit Risk and Financial Regulations (1 paper) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Finance (144 citations), Economics and Econometrics (220 citations), Statistical and Nonlinear Physics (61 citations), Management Science and Operations Research (39 citations) and General Economics, Econometrics and Finance (18 citations). Michael C. Münnix has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Rudi Schäfer, Thomas Guhr, T. H. Seligman, F. Leyvraz, H. Eugene Stanley, Takashi Shimada and Oliver Grothe. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, PLoS ONE, Quantitative Finance, International Journal of Theoretical and Applied Finance and Europhysics Letters (EPL).
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.