Johanna Amann
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 2%
- Information Systems top 2%
- Sociology and Political Science
- Co-authors
- Zakir DurumericMichael BaileyJ. Alex HaldermanVern PaxsonJethro G. BeekmanFrank LiDavid AdrianMathias Payer
- Topics
- Network Security and Intrusion Detection (11 papers)Internet Traffic Analysis and Secure E-voting (10 papers)Advanced Malware Detection Techniques (9 papers)
- Journals
- ACM SIGCOMM Computer Communication ReviewLecture notes in computer scienceIEEE Transactions on Applied Superconductivity
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Johanna Amann
17 papers receiving 751 citations
Hit Papers
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 458
- Computer Networks and Communications 403
- Signal Processing 337
- Information Systems 334
- Sociology and Political Science 75
Countries citing papers authored by Johanna Amann
This map shows the geographic impact of Johanna Amann'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 Johanna Amann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johanna Amann more than expected).
Fields of papers citing papers by Johanna Amann
This network shows the impact of papers produced by Johanna Amann. 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 Johanna Amann. The network helps show where Johanna Amann may publish in the future.
Co-authorship network of co-authors of Johanna Amann
This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Amann. A scholar is included among the top collaborators of Johanna Amann 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 Johanna Amann. Johanna Amann 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 | A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web | 3 |
| 3 | 36 | |
| 4 | 10 | |
| 5 | 40 | |
| 6 | 2 | |
| 7 | 64 | |
| 8 | 4 | |
| 9 | 42 | |
| 10 | 7 | |
| 11 | 50 | |
| 12 | Specification Mining for Intrusion Detection in Networked Control Systems | 15 |
| 13 | The Matter of Heartbleedbreakdown → | 390 |
| 14 | 26 | |
| 15 | 53 | |
| 16 | 22 | |
| 17 | 2 | |
| 18 | 12 |
About Johanna Amann
Johanna Amann is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 18 papers that have together received 778 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Internet Traffic Analysis and Secure E-voting (10 papers) and Advanced Malware Detection Techniques (9 papers). The work is most often cited by research in Signal Processing (337 citations), Computer Networks and Communications (403 citations) and Information Systems (334 citations). Johanna Amann has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Zakir Durumeric, Michael Bailey, J. Alex Halderman, Vern Paxson, Jethro G. Beekman, Frank Li, David Adrian, Mathias Payer, Narseo Vallina-Rodríguez and Abbas Razaghpanah. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Lecture notes in computer science and IEEE Transactions on Applied Superconductivity.
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.