Stefan Schauer

59 papers receiving 699 citations

Peers

Stefan Schauer
Comparison fields: 5 of 78
  • Information Systems 234
  • Computer Networks and Communications 201
  • Signal Processing 87
  • Artificial Intelligence 262
  • Control and Systems Engineering 119
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Michael R. Grimaila United States
Chris Y. T. Ma United States
Philipp Reinecke Germany
Ashwin Arulselvan United Kingdom
Zbigniew Kotulski Poland
Andrey Garnaev United States
Hung T. Nguyen United States
Yoshiharu Maeno Japan
Linan Huang United States
Anjana Rani Gupta India
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Citations per field
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Citations per year

Countries citing papers authored by Stefan Schauer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020205
2 201771
3 201035
4 201833
5 201727
6 201826
7 201519
8 202218
9 202016
10 201715
11 201714
12 202414
13 201613
14 201613
15 201613
16 202013
17 201911
18 201511
19 20198
20 20228

About Stefan Schauer

Stefan Schauer is a scholar working on Computer Networks and Communications, Information Systems, Control and Systems Engineering, Civil and Structural Engineering and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 728 indexed citations. Recurring topics across this work include Information and Cyber Security (20 papers), Smart Grid Security and Resilience (18 papers), Infrastructure Resilience and Vulnerability Analysis (18 papers), Network Security and Intrusion Detection (18 papers), Risk and Safety Analysis (8 papers), Quantum Information and Cryptography (6 papers), Quantum Mechanics and Applications (6 papers) and Quantum Computing Algorithms and Architecture (6 papers). The work is most often cited by research in Information Systems (234 citations), Computer Networks and Communications (201 citations), Signal Processing (87 citations), Artificial Intelligence (262 citations) and Control and Systems Engineering (119 citations). Stefan Schauer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Stefan Raß, Sandra König, Miralem Mehić, Marcin Niemiec, Andreas Poppe, Vicente Martín, Jiajun Ma, Alejandro Aguado, Momtchil Peev and Miroslav Vozn̆ák. Their work appears in journals such as PLoS ONE, Physical Review A, Mobile Networks and Applications, International Journal of Disaster Risk Reduction 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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