Ursula Geßner
About
In The Last Decade
Ursula Geßner
60 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 100
- Global and Planetary Change 1.4k
- Ecology 1.2k
- Atmospheric Science 786
- Environmental Engineering 616
- Water Science and Technology 353
Countries citing papers authored by Ursula Geßner
This map shows the geographic impact of Ursula Geßner'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 Ursula Geßner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ursula Geßner more than expected).
Fields of papers citing papers by Ursula Geßner
This network shows the impact of papers produced by Ursula Geßner. 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 Ursula Geßner. The network helps show where Ursula Geßner may publish in the future.
Co-authorship network of co-authors of Ursula Geßner
This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Geßner. A scholar is included among the top collaborators of Ursula Geßner 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 Ursula Geßner. Ursula Geßner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 34 | |
| 12 | 28 | |
| 13 | 27 | |
| 14 | 65 | |
| 15 | 71 | |
| 16 | 2 | |
| 17 | 29 | |
| 18 | 107 | |
| 19 | 7 | |
| 20 | Vegetation structure mapping with remote sensing time series: Capabilities and improvements | 2 |
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.