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 9
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- Network Security and Intrusion Detection 7
- Peer-to-Peer Network Technologies 2
- Co-authors
- Elmar Gerhards‐Padilla (4 shared papers)Brett Stone-Gross (2 shared papers)Dennis Andriesse (2 shared papers)Herbert Bos (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) (2 papers)Figshare (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (3 papers)
- Partner nations
- GermanyNetherlands
In The Last Decade
Daniel Plohmann
7 papers receiving 367 citations
Peers
Comparison fields: 5 of 26
- Signal Processing 235
- Computer Networks and Communications 322
- Information Systems 165
- Artificial Intelligence 225
- 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 8 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 | 142 |
| 2 | 2013 | 125 | |
| 3 | 2013 | 76 | |
| 4 | Case study of the Miner Botnet | 2012 | 29 |
| 5 | 2017 | 11 | |
| 6 | Patterns of a cooperative malware analysis workflow | 2013 | 2 |
| 7 | 2024 | 1 | |
| 8 | Malware and Botnet Analysis Methodology. | 2012 | 0 |
| 9 | 2025 | 0 | |
| 10 | 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 10 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (7 papers), Digital and Cyber Forensics (3 papers), Software Engineering Research (2 papers), Peer-to-Peer Network Technologies (2 papers), Anomaly Detection Techniques and Applications (1 paper), Web Data Mining and Analysis (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Signal Processing (235 citations), Computer Networks and Communications (322 citations), Information Systems (165 citations), Artificial Intelligence (225 citations) and Software (5 citations). Daniel Plohmann has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Elmar Gerhards‐Padilla, Brett Stone-Gross, Dennis Andriesse, Herbert Bos, Christian Rossow, Johannes Bader, Michael A. Klatt and Christian Dietrich. Their work appears in journals such as Forensic Science International Digital Investigation, Digital Investigation, Fraunhofer-Publica (Fraunhofer-Gesellschaft), Figshare 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.