Roman Schlegel
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Co-authors
- Apu KapadiaKehuan ZhangXiaofeng WangXiaoyong ZhouSebastian ObermeierDuncan S. WongChi-Yin ChowAdam J. Lee
- Topics
- Advanced Malware Detection Techniques (6 papers)Smart Grid Security and Resilience (5 papers)Internet Traffic Analysis and Secure E-voting (5 papers)
- Journals
- IEEE Communications MagazineInformation SciencesIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- SwitzerlandUnited StatesHong Kong
In The Last Decade
Roman Schlegel
18 papers receiving 600 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 334
- Signal Processing 298
- Information Systems 278
- Computer Networks and Communications 236
- Sociology and Political Science 136
Countries citing papers authored by Roman Schlegel
This map shows the geographic impact of Roman Schlegel'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 Roman Schlegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Schlegel more than expected).
Fields of papers citing papers by Roman Schlegel
This network shows the impact of papers produced by Roman Schlegel. 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 Roman Schlegel. The network helps show where Roman Schlegel may publish in the future.
Co-authorship network of co-authors of Roman Schlegel
This figure shows the co-authorship network connecting the top 25 collaborators of Roman Schlegel. A scholar is included among the top collaborators of Roman Schlegel 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 Roman Schlegel. Roman Schlegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 33 | |
| 3 | 25 | |
| 4 | 6 | |
| 5 | 28 | |
| 6 | 79 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | Soundcomber: A Stealthy and Context-Aware Sound Trojan for Smartphones. | 268 |
| 16 | 45 | |
| 17 | 0 | |
| 18 | 38 | |
| 19 | 27 |
About Roman Schlegel
Roman Schlegel is a scholar working on Signal Processing, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 19 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (6 papers), Smart Grid Security and Resilience (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Signal Processing (298 citations), Information Systems (278 citations) and Software (42 citations). Roman Schlegel has collaborated with scholars based in Switzerland, United States and Hong Kong. Frequent co-authors include Apu Kapadia, Kehuan Zhang, Xiaofeng Wang, Xiaoyong Zhou, Sebastian Obermeier, Duncan S. Wong, Chi-Yin Chow, Adam J. Lee, Qiong Huang and Saverio Niccolini. Their work appears in journals such as IEEE Communications Magazine, Information Sciences and IEEE Transactions on Parallel and Distributed Systems.
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.