Katharina Kohls
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Information Systems top 10%
- Co-authors
- David RupprechtThorsten HolzChristina PöpperRoya EnsafiMarkus DürmuthApostolis ZarrasDorothea KolossaChristian Böhm
- Topics
- Internet Traffic Analysis and Secure E-voting (10 papers)Advanced Malware Detection Techniques (8 papers)Network Security and Intrusion Detection (7 papers)
- Journals
- ElectronicsUSENIX Security SymposiumRadboud Repository (Radboud University)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Katharina Kohls
17 papers receiving 317 citations
Peers
Comparison fields: 5 of 33
- Computer Networks and Communications 196
- Artificial Intelligence 188
- Electrical and Electronic Engineering 103
- Signal Processing 86
- Information Systems 66
Countries citing papers authored by Katharina Kohls
This map shows the geographic impact of Katharina Kohls'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 Katharina Kohls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharina Kohls more than expected).
Fields of papers citing papers by Katharina Kohls
This network shows the impact of papers produced by Katharina Kohls. 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 Katharina Kohls. The network helps show where Katharina Kohls may publish in the future.
Co-authorship network of co-authors of Katharina Kohls
This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Kohls. A scholar is included among the top collaborators of Katharina Kohls 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 Katharina Kohls. Katharina Kohls 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 | 4 | |
| 3 | 16 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | Call Me Maybe: Eavesdropping Encrypted {LTE} Calls With ReVoLTE | 19 |
| 8 | 39 | |
| 9 | 44 | |
| 10 | 115 | |
| 11 | 11 | |
| 12 | 29 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 2 |
About Katharina Kohls
Katharina Kohls is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (10 papers), Advanced Malware Detection Techniques (8 papers) and Network Security and Intrusion Detection (7 papers). The work is most often cited by research in Computer Networks and Communications (196 citations), Signal Processing (86 citations) and Artificial Intelligence (188 citations). Katharina Kohls has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include David Rupprecht, Thorsten Holz, Christina Pöpper, Roya Ensafi, Markus Dürmuth, Apostolis Zarras, Dorothea Kolossa, Christian Böhm, Harald Vranken and Wouter Joosen. Their work appears in journals such as Electronics, USENIX Security Symposium and Radboud Repository (Radboud University).
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.