Henning Perl
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Cryptography and Data Security 5
- Internet Traffic Analysis and Secure E-voting 3
- Privacy-Preserving Technologies in Data 2
- Cryptographic Implementations and Security 2
- Security and Verification in Computing 2
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- Digital and Cyber Forensics 2
- Spam and Phishing Detection 1
- Co-authors
- Matthew Smith (10 shared papers)Sascha Fahl (5 shared papers)Sergej Dechand (3 shared papers)Yasemin Acar (2 shared papers)Marian Harbach (1 shared paper)Daniel J. Arp (1 shared paper)Fabian Yamaguchi (1 shared paper)Konrad Rieck (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (2 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Henning Perl
10 papers receiving 423 citations
Peers
Comparison fields: 5 of 36
- Software 106
- Signal Processing 226
- Information Systems 298
- Artificial Intelligence 174
- Computer Networks and Communications 101
Countries citing papers authored by Henning Perl
This map shows the geographic impact of Henning Perl'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 Henning Perl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henning Perl more than expected).
Fields of papers citing papers by Henning Perl
This network shows the impact of papers produced by Henning Perl. 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 Henning Perl. The network helps show where Henning Perl may publish in the future.
Co-authors
The 13 scholars most cited alongside Henning Perl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 155 | |
| 2 | 2013 | 99 | |
| 3 | 2015 | 81 | |
| 4 | 2014 | 32 | |
| 5 | 2014 | 21 | |
| 6 | 2011 | 19 | |
| 7 | 2012 | 10 | |
| 8 | 2012 | 10 | |
| 9 | 2013 | 6 | |
| 10 | 2012 | 5 |
About Henning Perl
Henning Perl is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 10 papers that have together received 438 indexed citations. Recurring topics across this work include Cryptography and Data Security (5 papers), Advanced Malware Detection Techniques (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Digital and Cyber Forensics (2 papers), Privacy-Preserving Technologies in Data (2 papers), Cryptographic Implementations and Security (2 papers), Security and Verification in Computing (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Software (106 citations), Signal Processing (226 citations), Information Systems (298 citations), Artificial Intelligence (174 citations) and Computer Networks and Communications (101 citations). Henning Perl has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Matthew Smith, Sascha Fahl, Sergej Dechand, Yasemin Acar, Marian Harbach, Daniel J. Arp, Fabian Yamaguchi, Konrad Rieck, Michael Brenner and Joseph Bonneau. Their work appears in journals such as Future Generation Computer Systems, Fraunhofer-Publica (Fraunhofer-Gesellschaft) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.