Sebastian Poledna
- Economics and Econometrics top 2%
- Finance top 2%
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Stefan ThurnerMarco van der LeijSerafín Martínez-JaramilloJosé Luis Molina-BorboaPeter KlimekJ. Doyne FarmerCars HommesStefan Hochrainer‐Stigler
- Topics
- Complex Systems and Time Series Analysis (11 papers)Economic theories and models (10 papers)Banking stability, regulation, efficiency (8 papers)
- Partner nations
- AustriaUnited StatesNetherlands
In The Last Decade
Sebastian Poledna
26 papers receiving 718 citations
Peers
Comparison fields: 5 of 82
- Economics and Econometrics 454
- Finance 340
- Sociology and Political Science 81
- Statistical and Nonlinear Physics 75
- General Economics, Econometrics and Finance 74
Countries citing papers authored by Sebastian Poledna
This map shows the geographic impact of Sebastian Poledna'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 Sebastian Poledna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Poledna more than expected).
Fields of papers citing papers by Sebastian Poledna
This network shows the impact of papers produced by Sebastian Poledna. 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 Sebastian Poledna. The network helps show where Sebastian Poledna may publish in the future.
Co-authorship network of co-authors of Sebastian Poledna
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Poledna. A scholar is included among the top collaborators of Sebastian Poledna 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 Sebastian Poledna. Sebastian Poledna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | Recovery of the Austrian economy following the COVID-19 crisis can take up to three years, IIASA Policy Brief #26 | 2 |
| 11 | Recovery of the Austrian economy following the COVID-19 crisis can take up to three years | 6 |
| 12 | 17 | |
| 13 | 26 | |
| 14 | 20 | |
| 15 | 6 | |
| 16 | 67 | |
| 17 | 196 | |
| 18 | 58 | |
| 19 | 36 | |
| 20 | 81 |
About Sebastian Poledna
Sebastian Poledna is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance, having authored 26 papers that have together received 740 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (11 papers), Economic theories and models (10 papers) and Banking stability, regulation, efficiency (8 papers). The work is most often cited by research in Finance (340 citations), Economics and Econometrics (454 citations) and General Energy (11 citations). Sebastian Poledna has collaborated with scholars based in Austria, United States and Netherlands. Frequent co-authors include Stefan Thurner, Marco van der Leij, Serafín Martínez-Jaramillo, José Luis Molina-Borboa, Peter Klimek, J. Doyne Farmer, Cars Hommes, Stefan Hochrainer‐Stigler, E. Rovenskaya and Anton Pichler. Their work appears in journals such as Nature Communications, Scientific Reports and Journal of Banking & Finance.
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.