Daniel Plohmann
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Peer-to-Peer Network Technologies
Papers in
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- Advanced Malware Detection Techniques 8
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- Network Security and Intrusion Detection 6
- Peer-to-Peer Network Technologies 2
- Software-Defined Networks and 5G 1
- Co-authors
- Elmar Gerhards‐Padilla (4 shared papers)Herbert Bos (2 shared papers)Brett Stone-Gross (2 shared papers)Dennis Andriesse (2 shared papers)Christian Rossow (3 shared papers)Johannes Bader (1 shared paper)Michael A. Klatt (1 shared paper)Christian Dietrich (1 shared paper)
- Journals
- Forensic Science International Digital Investigation (1 paper)Digital Investigation (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (1 paper)Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences) (1 paper)Figshare (1 paper)
- Partner nations
- GermanyNetherlands
In The Last Decade
Daniel Plohmann
6 papers receiving 296 citations
Peers
Comparison fields: 5 of 19
- Signal Processing 197
- Computer Networks and Communications 268
- Information Systems 133
- Artificial Intelligence 186
- Software 5
Countries citing papers authored by Daniel Plohmann
This map shows the geographic impact of Daniel Plohmann'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 Daniel Plohmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Plohmann more than expected).
Fields of papers citing papers by Daniel Plohmann
This network shows the impact of papers produced by Daniel Plohmann. 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 Daniel Plohmann. The network helps show where Daniel Plohmann may publish in the future.
Co-authors
The 9 scholars most cited alongside Daniel Plohmann, 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 | A comprehensive measurement study of domain generating malware | 2016 | 113 |
| 2 | 2013 | 106 | |
| 3 | 2013 | 62 | |
| 4 | Case study of the Miner Botnet | 2012 | 22 |
| 5 | 2017 | 10 | |
| 6 | Patterns of a cooperative malware analysis workflow | 2013 | 1 |
| 7 | Malware and Botnet Analysis Methodology. | 2012 | 0 |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 |
About Daniel Plohmann
Daniel Plohmann is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Artificial Intelligence and Control and Systems Engineering, having authored 9 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (6 papers), Digital and Cyber Forensics (3 papers), Peer-to-Peer Network Technologies (2 papers), Forensic Fingerprint Detection Methods (1 paper), Software Engineering Research (1 paper), Software-Defined Networks and 5G (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Signal Processing (197 citations), Computer Networks and Communications (268 citations), Information Systems (133 citations), Artificial Intelligence (186 citations) and Software (5 citations). Daniel Plohmann has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Elmar Gerhards‐Padilla, Herbert Bos, Brett Stone-Gross, Dennis Andriesse, Christian Rossow, Johannes Bader, Michael A. Klatt, Christian Dietrich and Alfred Mahr. Their work appears in journals such as Forensic Science International Digital Investigation, Digital Investigation, Fraunhofer-Publica (Fraunhofer-Gesellschaft), Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences) and Figshare.
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.