Michael Hagenau
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Finance top 5%
- Electrical and Electronic Engineering
- Co-authors
- Dirk NeumannMichael LiebmannMatthias HauserChristof WeinhardtMarc T. P. AdamAdriana KorczakMatthias Häußler
- Topics
- Financial Markets and Investment Strategies (6 papers)Stock Market Forecasting Methods (5 papers)Auditing, Earnings Management, Governance (3 papers)
- Journals
- Decision Support SystemsJournal of the Association for Information SystemsInternational Conference on Information Systems
- Partner nations
- GermanyUnited Kingdom
In The Last Decade
Michael Hagenau
7 papers receiving 275 citations
Peers
Comparison fields: 5 of 37
- Management Science and Operations Research 204
- Artificial Intelligence 110
- Economics and Econometrics 101
- Finance 99
- Electrical and Electronic Engineering 35
Countries citing papers authored by Michael Hagenau
This map shows the geographic impact of Michael Hagenau'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 Hagenau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hagenau more than expected).
Fields of papers citing papers by Michael Hagenau
This network shows the impact of papers produced by Michael Hagenau. 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 Hagenau. The network helps show where Michael Hagenau may publish in the future.
Co-authorship network of co-authors of Michael Hagenau
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hagenau. A scholar is included among the top collaborators of Michael Hagenau 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 Hagenau. Michael Hagenau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 230 | |
| 3 | Information Processing in Electronic Markets: Measuring Subjective Interpretation Using Sentiment Analysis | 9 |
| 4 | 36 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Emotions in Electronic Auctions - A Physio-Economic Approach on Information Systems | 5 |
About Michael Hagenau
Michael Hagenau is a scholar working on Finance, Management Science and Operations Research and Accounting, having authored 7 papers that have together received 293 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (6 papers), Stock Market Forecasting Methods (5 papers) and Auditing, Earnings Management, Governance (3 papers). The work is most often cited by research in Management Science and Operations Research (204 citations), Finance (99 citations) and Economics and Econometrics (101 citations). Michael Hagenau has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Dirk Neumann, Michael Liebmann, Matthias Hauser, Christof Weinhardt, Marc T. P. Adam, Adriana Korczak and Matthias Häußler. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems and International Conference on Information Systems.
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.