Moritz Wiese

480 citations
50 papers · 263 · h-index 10

Impact in

Papers in

Moritz Wiese

43 papers receiving 260 citations

Peers

Moritz Wiese
Comparison fields: 5 of 23
  • Computer Networks and Communications 136
  • Electrical and Electronic Engineering 204
  • Computer Vision and Pattern Recognition 57
  • Artificial Intelligence 85
  • Computational Theory and Mathematics 25
Replace Swanand Kadhe with:
Swanand Kadhe United States
Christian Deppe Germany
Palash Sarkar India
Sanchit Goel United States
A. Sutivong United States
Shraga I. Bross Israel
Louay Bazzi Lebanon
Qifu Tyler Sun China
Amir Ingber United States
Amparo Fúster-Sabater Spain
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Citations per field
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Citations per year

Countries citing papers authored by Moritz Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Moritz Wiese, 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 Moritz Wiese Line = papers co-authored together Moritz Wiese links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201640
2 202019
3 202017
4 201616
5 201314
6 201114
7 202214
8 201212
9 201211
10 201510
11 20227
12 20227
13 20217
14 20205
15 20225
16 20225
17 20225
18 20225
19
Semantic Security and the Second-Largest Eigenvalue of Biregular Graphs
20184
20 20154

About Moritz Wiese

Moritz Wiese is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 50 papers that have together received 263 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (37 papers), Cooperative Communication and Network Coding (16 papers), Chaos-based Image/Signal Encryption (12 papers), Advanced MIMO Systems Optimization (9 papers), DNA and Biological Computing (8 papers), Error Correcting Code Techniques (5 papers), Cellular Automata and Applications (5 papers) and Wireless Signal Modulation Classification (4 papers). The work is most often cited by research in Computer Networks and Communications (136 citations), Electrical and Electronic Engineering (204 citations), Computer Vision and Pattern Recognition (57 citations), Artificial Intelligence (85 citations) and Computational Theory and Mathematics (25 citations). Moritz Wiese has collaborated with scholars based in Germany, Sweden and China. Frequent co-authors include Holger Boche, Janis Nötzel, Christian Deppe, Rafael F. Wyrembelski, Igor Bjelaković, Volker Jungnickel, Karl Henrik Johansson, Mikael Skoglund, Panos Papadimitratos and Eduard A. Jorswieck. Their work appears in journals such as IEEE Transactions on Information Theory, Designs Codes and Cryptography, Journal of Fourier Analysis and Applications, Problems of Information Transmission and IEEE Transactions on Information Forensics and Security.

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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