Michael Liebmann
Impact in
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
- Finance 7
- Financial Markets and Investment Strategies 7
-
- Stock Market Forecasting Methods 5
- Co-authors
- Dirk Neumann (9 shared papers)Michael Hagenau (5 shared papers)Alexei G. Orlov (2 shared papers)Matthias Hauser (1 shared paper)Liane Häußler (1 shared paper)Brigitte Voit (1 shared paper)Doris Pospiech (1 shared paper)Dieter Jehnichen (1 shared paper)
- Journals
- Decision Support Systems (1 paper)International Review of Financial Analysis (1 paper)Macromolecular Chemistry and Physics (1 paper)International Conference on Information Systems (2 papers)SSRN Electronic Journal (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Michael Liebmann
10 papers receiving 326 citations
Peers
Comparison fields: 5 of 57
- Management Science and Operations Research 214
- Finance 108
- Economics and Econometrics 117
- Artificial Intelligence 112
- Accounting 38
Countries citing papers authored by Michael Liebmann
This map shows the geographic impact of Michael Liebmann'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 Liebmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Liebmann more than expected).
Fields of papers citing papers by Michael Liebmann
This network shows the impact of papers produced by Michael Liebmann. 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 Liebmann. The network helps show where Michael Liebmann may publish in the future.
Co-authors
The 11 scholars most cited alongside Michael Liebmann, 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 | 2013 | 230 | |
| 2 | 2012 | 36 | |
| 3 | 2015 | 21 | |
| 4 | 2013 | 13 | |
| 5 | 2016 | 11 | |
| 6 | 1986 | 11 | |
| 7 | 2013 | 11 | |
| 8 | Information Processing in Electronic Markets: Measuring Subjective Interpretation Using Sentiment Analysis | 2012 | 9 |
| 9 | Towards an Oil Crisis Early Warning System based on Absolute News Volume | 2012 | 2 |
| 10 | 2011 | 1 | |
| 11 | 2014 | 0 |
About Michael Liebmann
Michael Liebmann is a scholar working on Finance, Management Science and Operations Research, Artificial Intelligence, Economics and Econometrics and Accounting, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (7 papers), Stock Market Forecasting Methods (5 papers), Auditing, Earnings Management, Governance (4 papers), Advanced Text Analysis Techniques (3 papers), Market Dynamics and Volatility (3 papers), Complex Systems and Time Series Analysis (1 paper), Advanced Computational Techniques and Applications (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Management Science and Operations Research (214 citations), Finance (108 citations), Economics and Econometrics (117 citations), Artificial Intelligence (112 citations) and Accounting (38 citations). Michael Liebmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Dirk Neumann, Michael Hagenau, Alexei G. Orlov, Matthias Hauser, Liane Häußler, Brigitte Voit, Doris Pospiech, Dieter Jehnichen, Andreas Korwitz and Hartmut Komber. Their work appears in journals such as Decision Support Systems, International Review of Financial Analysis, Macromolecular Chemistry and Physics, International Conference on Information Systems and SSRN Electronic Journal.
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.