Ivana Stiperski
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Environmental Engineering top 2%
- Computational Mechanics top 5%
- Earth-Surface Processes top 10%
- Co-authors
- Mathias W. RotachMarc CalafVanda Grubı̆sı́cAlexander GohmBrigitta GogerLindsey NicholsonOliver FuhrerBranko Grisogono
- Topics
- Meteorological Phenomena and Simulations (37 papers)Wind and Air Flow Studies (18 papers)Climate variability and models (13 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Ivana Stiperski
42 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 50
- Atmospheric Science 928
- Global and Planetary Change 710
- Environmental Engineering 479
- Computational Mechanics 188
- Earth-Surface Processes 80
Countries citing papers authored by Ivana Stiperski
This map shows the geographic impact of Ivana Stiperski'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 Ivana Stiperski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Stiperski more than expected).
Fields of papers citing papers by Ivana Stiperski
This network shows the impact of papers produced by Ivana Stiperski. 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 Ivana Stiperski. The network helps show where Ivana Stiperski may publish in the future.
Co-authorship network of co-authors of Ivana Stiperski
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Stiperski. A scholar is included among the top collaborators of Ivana Stiperski 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 Ivana Stiperski. Ivana Stiperski 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 38 | |
| 8 | 15 | |
| 9 | 18 | |
| 10 | 21 | |
| 11 | 48 | |
| 12 | 19 | |
| 13 | 167 | |
| 14 | 55 | |
| 15 | On the turbulence structure, dominant scales and scaling of deep katabatic flows on a shallow slope | 1 |
| 16 | 34 | |
| 17 | i-Box: Studying boundary layers in very complex terrain | 1 |
| 18 | ALADIN/HR: TESTING THE NEW SUB-GRID SCALE OROGRAPHY REPRESENTATION ON BURA CASES | 0 |
| 19 | Katabatic flow with coriolis effect | 1 |
| 20 | Uzroci razvoja superćelije i tornadogeneze 30. kolovoza 2003. | 4 |
About Ivana Stiperski
Ivana Stiperski is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (37 papers), Wind and Air Flow Studies (18 papers) and Climate variability and models (13 papers). The work is most often cited by research in Atmospheric Science (928 citations), Environmental Engineering (479 citations) and Global and Planetary Change (710 citations). Ivana Stiperski has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Mathias W. Rotach, Marc Calaf, Vanda Grubı̆sı́c, Alexander Gohm, Brigitta Goger, Lindsey Nicholson, Oliver Fuhrer, Branko Grisogono, Daniel J. Kirshbaum and Stefano Serafin. Their work appears in journals such as Physical Review Letters, Journal of the Atmospheric Sciences and Monthly Weather Review.
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.