Maximillian Dornseif

707 citations
8 papers · 43 indexed · h-index 5
Topics
Advanced Malware Detection Techniques (4 papers)Network Security and Intrusion Detection (4 papers)Digital and Cyber Forensics (3 papers)
Journals
Cell ReportsRWTH Publications (RWTH Aachen)PIK - Praxis der Informationsverarbeitung und Kommunikation
Partner nations
GermanyUnited Kingdom

In The Last Decade

Maximillian Dornseif

7 papers receiving 39 citations

Peers

Maximillian Dornseif
Comparison fields: 5 of 15
  • Computer Networks and Communications 25
  • Signal Processing 24
  • Information Systems 22
  • Artificial Intelligence 16
  • Computer Vision and Pattern Recognition 4
Replace Zhu Hua with:
Zhu Hua China
Sofian Maabout France
Ali Khodaei United States
Vinod Mahor India
Mikal Ziane France
N. Golpayegani United States
Tsutomu Matsumoto Japan
R. Kuesters China
Daniel J. Beutel United Kingdom
Rainer Manthey Germany
Maximillian Dornseif relative to Zhu Hua China Zhu Hua's profile →
Citations per field
00.5×
Zhu Hua · 1×
Citations per year

Countries citing papers authored by Maximillian Dornseif

Since Specialization
Citations

This map shows the geographic impact of Maximillian Dornseif'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 Maximillian Dornseif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maximillian Dornseif more than expected).

Fields of papers citing papers by Maximillian Dornseif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maximillian Dornseif. 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 Maximillian Dornseif. The network helps show where Maximillian Dornseif may publish in the future.

Co-authorship network of co-authors of Maximillian Dornseif

This figure shows the co-authorship network connecting the top 25 collaborators of Maximillian Dornseif. A scholar is included among the top collaborators of Maximillian Dornseif 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 Maximillian Dornseif. Maximillian Dornseif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2
The nepenthes platform: An efficient approach to collect malware
1
3 3
4
Tampering with motes: real-world attacks on wireless sensor networks
5
5
A Comparative Study of Teaching Forensics at a University Degree Level
8
6
An offensive approach to teaching information security : 'Aachen summer school applied IT security
13
7 5
8 8

About Maximillian Dornseif

Maximillian Dornseif is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications, having authored 8 papers that have together received 43 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Network Security and Intrusion Detection (4 papers) and Digital and Cyber Forensics (3 papers). The work is most often cited by research in Signal Processing (24 citations), Computer Networks and Communications (25 citations) and Information Systems (22 citations). Maximillian Dornseif has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include Thorsten Holz, Felix Freiling, Felix Gärtner, Zinaida Benenson, Alastair Irons and Paul Baecher. Their work appears in journals such as Cell Reports, RWTH Publications (RWTH Aachen) and PIK - Praxis der Informationsverarbeitung und Kommunikation.

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.

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