Christian Mainka

630 citations
31 papers · 308 indexed · h-index 9

Christian Mainka

28 papers receiving 296 citations

Peers

Christian Mainka
Comparison fields: 5 of 43
  • Signal Processing 117
  • Information Systems 210
  • Computer Networks and Communications 108
  • Artificial Intelligence 139
  • Software 14
Replace Suphannee Sivakorn with:
Suphannee Sivakorn United States
Xavier de Carné de Carnavalet Canada
Peter Frühwirt Austria
Walter Rudametkin France
Adesina S. Sodiya Nigeria
TJ OConnor United States
Ralf-Philipp Weinmann Luxembourg
Sid Stamm United States
Oleksii Starov United States
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Citations per field
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Citations per year

Countries citing papers authored by Christian Mainka

Since Specialization
Citations

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

Fields of papers citing papers by Christian Mainka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Christian Mainka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christian Mainka Line = papers co-authored together Christian Mainka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20243
3 20227
4
Office Document Security and Privacy
20205
5 201845
6 201731
7
On message-level security
20170
8
Same-Origin Policy: Evaluation in Modern Browsers
201720
9 20175
10 20171
11 20161
12
How to break microsoft rights management services
20163
13 201621
14 201631
15
Automatic recognition, processing and attacking of single sign-on protocols with burp suite.
20152
16
How to break XML encryption – automatically
20156
17
A new approach for WS-Policy Intersection using Partial Ordered Sets.
20130
18 201319
19 19951
20 19934

About Christian Mainka

Christian Mainka is a scholar working on Information Systems, Signal Processing and Physical Therapy, Sports Therapy and Rehabilitation, having authored 31 papers that have together received 308 indexed citations. Recurring topics across this work include Security and Verification in Computing (13 papers), Web Application Security Vulnerabilities (10 papers), Advanced Malware Detection Techniques (9 papers), User Authentication and Security Systems (6 papers), Digital and Cyber Forensics (5 papers), Advanced Authentication Protocols Security (4 papers), Cloud Data Security Solutions (4 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Signal Processing (117 citations), Information Systems (210 citations) and Computer Networks and Communications (108 citations). Christian Mainka has collaborated with scholars based in Germany. Frequent co-authors include Jörg Schwenk, Juraj Somorovsky, Paul Rösler, Thorsten Holz, Christoph Bader, Sebastian Schinzel, Jens Müller, Luigi Lo Iacono, Meiko Jensen and D. Noss. Their work appears in journals such as Biomedizinische Technik/Biomedical Engineering, International Journal of Science Education Part B and USENIX Security Symposium.

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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