Alexander Pretschner
About
In The Last Decade
Alexander Pretschner
166 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Software 1.6k
- Information Systems 1.5k
- Artificial Intelligence 1.2k
- Computer Networks and Communications 810
- Signal Processing 607
Countries citing papers authored by Alexander Pretschner
This map shows the geographic impact of Alexander Pretschner'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 Alexander Pretschner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Pretschner more than expected).
Fields of papers citing papers by Alexander Pretschner
This network shows the impact of papers produced by Alexander Pretschner. 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 Alexander Pretschner. The network helps show where Alexander Pretschner may publish in the future.
Co-authorship network of co-authors of Alexander Pretschner
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Pretschner. A scholar is included among the top collaborators of Alexander Pretschner 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 Alexander Pretschner. Alexander Pretschner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | Chapter Eight - A Taxonomy of Software Integrity Protection Techniques. | 1 |
| 10 | 60 | |
| 11 | Predicting the Resilience of Obfuscated Code Against Symbolic Execution Attacks via Machine Learning | 20 |
| 12 | 7 | |
| 13 | Distributed data usage control for web applications | 1 |
| 14 | 2 | |
| 15 | 6 | |
| 16 | Usage Control Enforcement with Data Flow Tracking for X11 | 20 |
| 17 | 1 | |
| 18 | Model-Based Testing of Reactive Systems, Advanced Lectures | 22 |
| 19 | Model-Based Testing of Reactive Systems: Advanced Lectures (Lecture Notes in Computer Science) | 65 |
| 20 | 5 |
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.