Christian Weinert
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Thomas SchneiderOleksandr TkachenkoEbrahim M. SonghoriM. Sadegh RiaziFarinaz KoushanfarJohannes BuchmannAlexander WiesmaierDaniel Cabarcas
- Topics
- Cryptography and Data Security (10 papers)Privacy-Preserving Technologies in Data (7 papers)User Authentication and Security Systems (6 papers)
- Partner nations
- GermanyUnited KingdomColombia
In The Last Decade
Christian Weinert
18 papers receiving 432 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 345
- Information Systems 132
- Signal Processing 67
- Computer Networks and Communications 48
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by Christian Weinert
This map shows the geographic impact of Christian Weinert'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 Christian Weinert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Weinert more than expected).
Fields of papers citing papers by Christian Weinert
This network shows the impact of papers produced by Christian Weinert. 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 Christian Weinert. The network helps show where Christian Weinert may publish in the future.
Co-authorship network of co-authors of Christian Weinert
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Weinert. A scholar is included among the top collaborators of Christian Weinert 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 Christian Weinert. Christian Weinert 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 | 3 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | Mobile Private Contact Discovery at Scale | 18 |
| 10 | 14 | |
| 11 | 227 | |
| 12 | 21 | |
| 13 | 26 | |
| 14 | 58 | |
| 15 | 2 | |
| 16 | 30 | |
| 17 | 3 | |
| 18 | SAE Annual Meeting | 22 |
About Christian Weinert
Christian Weinert is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 18 papers that have together received 451 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (7 papers) and User Authentication and Security Systems (6 papers). The work is most often cited by research in Artificial Intelligence (345 citations), Signal Processing (67 citations) and Information Systems (132 citations). Christian Weinert has collaborated with scholars based in Germany, United Kingdom and Colombia. Frequent co-authors include Thomas Schneider, Oleksandr Tkachenko, Ebrahim M. Songhori, M. Sadegh Riazi, Farinaz Koushanfar, Johannes Buchmann, Alexander Wiesmaier, Daniel Cabarcas, Florian Göpfert and Sarah Nadi. Their work appears in journals such as ACM Computing Surveys, Computers & Security and ACM Transactions on Privacy and Security.
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.