Christoph Meinel

610 papers receiving 7.3k citations

Christoph Meinel's Hit Papers

Large Language Models in Cybersecurity: State-of-the-Art 2025 · 23 citations
230Years since publication5101520

Peers

Christoph Meinel
Comparison fields: 5 of 171
  • Computer Science Applications 1.1k
  • Information Systems 2.0k
  • Signal Processing 771
  • Computer Vision and Pattern Recognition 1.4k
  • Computer Networks and Communications 1.6k
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Countries citing papers authored by Christoph Meinel

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Meinel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christoph Meinel, 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 Christoph Meinel Line = papers co-authored together Christoph Meinel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 662 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design Thinking: Understand - Improve - Apply
2010261
2 2012235
3 2016203
4 2009165
5
Design Thinking: An Educational Model towards Creative Confidence
2010152
6 2010151
7 2014151
8 2007138
9 2013110
10 1998103
11 201199
12 201897
13 201888
14 201685
15 201584
16 201481
17 201981
18 202379
19 201076
20 201260

About Christoph Meinel

Christoph Meinel is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 662 papers that have together received 7.9k indexed citations. Recurring topics across this work include Online Learning and Analytics (100 papers), Network Security and Intrusion Detection (67 papers), Video Analysis and Summarization (47 papers), Advanced Malware Detection Techniques (45 papers), Cryptography and Data Security (35 papers), Design Education and Practice (35 papers), Multimedia Communication and Technology (35 papers) and Cloud Data Security Solutions (33 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Information Systems (2.0k citations), Signal Processing (771 citations), Computer Vision and Pattern Recognition (1.4k citations) and Computer Networks and Communications (1.6k citations). Christoph Meinel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Haojin Yang, Feng Cheng, Larry Leifer, Cheng Wang, Christian Willems, Thomas Staubitz, Eva Köppen, Michael G. Noll, Hasso Plattner and Christine Noweski. Their work appears in journals such as Lecture notes in computer science, Computers & Security, IEEE Transactions on Learning Technologies, Multimedia Tools and Applications and IEEE Access.

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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