Lea Schönherr
About
In The Last Decade
Lea Schönherr
10 papers receiving 65 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 26
- Signal Processing 19
- Computer Vision and Pattern Recognition 18
- Aerospace Engineering 14
- Information Systems 10
Countries citing papers authored by Lea Schönherr
This map shows the geographic impact of Lea Schönherr'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 Lea Schönherr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lea Schönherr more than expected).
Fields of papers citing papers by Lea Schönherr
This network shows the impact of papers produced by Lea Schönherr. 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 Lea Schönherr. The network helps show where Lea Schönherr may publish in the future.
Co-authorship network of co-authors of Lea Schönherr
This figure shows the co-authorship network connecting the top 25 collaborators of Lea Schönherr. A scholar is included among the top collaborators of Lea Schönherr 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 Lea Schönherr. Lea Schönherr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | Leveraging Frequency Analysis for Deep Fake Image Recognition | 10 |
| 11 | Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems. | 4 |
| 12 | 6 |
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.