Joerg Osterrieder
- Economics and Econometrics top 2%
- Finance top 2%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Management Information Systems top 10%
- Co-authors
- Stephen ChanSaralees NadarajahJeffrey ChuJulian LorenzBranka Hadji MishevaMarcos MachadoThorsten RheinländerAlessandra Amato
- Topics
- Complex Systems and Time Series Analysis (18 papers)Stock Market Forecasting Methods (14 papers)Market Dynamics and Volatility (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPhysica A Statistical Mechanics and its Applications
- Partner nations
- NetherlandsSwitzerlandUnited Kingdom
In The Last Decade
Joerg Osterrieder
48 papers receiving 707 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Economics and Econometrics 579
- Finance 366
- Information Systems 359
- Management Science and Operations Research 115
- Management Information Systems 42
Countries citing papers authored by Joerg Osterrieder
This map shows the geographic impact of Joerg Osterrieder'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 Joerg Osterrieder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joerg Osterrieder more than expected).
Fields of papers citing papers by Joerg Osterrieder
This network shows the impact of papers produced by Joerg Osterrieder. 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 Joerg Osterrieder. The network helps show where Joerg Osterrieder may publish in the future.
Co-authorship network of co-authors of Joerg Osterrieder
This figure shows the co-authorship network connecting the top 25 collaborators of Joerg Osterrieder. A scholar is included among the top collaborators of Joerg Osterrieder 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 Joerg Osterrieder. Joerg Osterrieder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | Bitcoin and Cryptocurrencies¡ªNot for the Faint-Hearted | 1 |
| 19 | 5 | |
| 20 | A Statistical Risk Assessment of Bitcoin and Its Extreme Tail Behaviour | 3 |
About Joerg Osterrieder
Joerg Osterrieder is a scholar working on Finance, Accounting and Management Science and Operations Research, having authored 61 papers that have together received 740 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (18 papers), Stock Market Forecasting Methods (14 papers) and Market Dynamics and Volatility (12 papers). The work is most often cited by research in Finance (366 citations), Economics and Econometrics (579 citations) and Information Systems (359 citations). Joerg Osterrieder has collaborated with scholars based in Netherlands, Switzerland and United Kingdom. Frequent co-authors include Stephen Chan, Saralees Nadarajah, Jeffrey Chu, Julian Lorenz, Branka Hadji Misheva, Marcos Machado, Thorsten Rheinländer, Alessandra Amato, Dariusz Kucharczyk and Yuanyuan Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Physica A Statistical Mechanics and its Applications.
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.