Leandro von Werra
- Electrical and Electronic Engineering
- Computational Mechanics
- Materials Chemistry
- Biomedical Engineering
- Astronomy and Astrophysics
- Co-authors
- Urs RohnerJ. A. WhitbyJohann MichlerAxel MurkCarsten EickhoffEce D. Gamsiz UzunNaman JainJiawei Liu
- Topics
- Soil Moisture and Remote Sensing (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Ion-surface interactions and analysis (1 paper)
- Journals
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingInstrumentation Science & TechnologyText REtrieval Conference
- Partner nations
- SwitzerlandUnited StatesIran
In The Last Decade
Leandro von Werra
6 papers receiving 44 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 24
- Computational Mechanics 17
- Materials Chemistry 9
- Biomedical Engineering 9
- Astronomy and Astrophysics 6
Countries citing papers authored by Leandro von Werra
This map shows the geographic impact of Leandro von Werra'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 Leandro von Werra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro von Werra more than expected).
Fields of papers citing papers by Leandro von Werra
This network shows the impact of papers produced by Leandro von Werra. 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 Leandro von Werra. The network helps show where Leandro von Werra may publish in the future.
Co-authorship network of co-authors of Leandro von Werra
This figure shows the co-authorship network connecting the top 25 collaborators of Leandro von Werra. A scholar is included among the top collaborators of Leandro von Werra 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 Leandro von Werra. Leandro von Werra 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 | 6 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | ETH Zurich at TREC Precision Medicine 2017. | 1 |
| 6 | 3 | |
| 7 | 28 |
About Leandro von Werra
Leandro von Werra is a scholar working on Surfaces, Coatings and Films, Environmental Engineering and Artificial Intelligence, having authored 7 papers that have together received 45 indexed citations. Recurring topics across this work include Soil Moisture and Remote Sensing (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Ion-surface interactions and analysis (1 paper). The work is most often cited by research in Computational Mechanics (17 citations), Health Informatics (1 citation) and Surfaces, Coatings and Films (5 citations). Leandro von Werra has collaborated with scholars based in Switzerland, United States and Iran. Frequent co-authors include Urs Rohner, J. A. Whitby, Johann Michler, Axel Murk, Carsten Eickhoff, Ece D. Gamsiz Uzun, Naman Jain, Jiawei Liu, Yuxiang Wei and Harm de Vries. Their work appears in journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Instrumentation Science & Technology and Text REtrieval Conference.
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.