Peter Langendöerfer

1.1k citations
81 papers · 621 · h-index 12

Impact in

Papers in

Peter Langendöerfer

68 papers receiving 571 citations

Peers

Peter Langendöerfer
Comparison fields: 5 of 50
  • Computer Networks and Communications 332
  • Hardware and Architecture 68
  • Artificial Intelligence 252
  • Information Systems 172
  • Computer Vision and Pattern Recognition 84
Replace Lukáš Malina with:
Lukáš Malina Czechia
Yihong Hu China
Atef Ibrahim Saudi Arabia
Peter Langendörfer Germany
Joaquim Bastos Portugal
Abd Ullah Khan Pakistan
Mourad Elhadef United Arab Emirates
Minyi Guo China
Peter Langendöerfer relative to Lukáš Malina Czechia Lukáš Malina's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Langendöerfer

Since Specialization
Citations

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

Fields of papers citing papers by Peter Langendöerfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006147
2 201044
3 200542
4 202141
5 200929
6 200725
7 202316
8 201716
9 200914
10 201214
11 201013
12 201612
13 201811
14 202210
15 200610
16 201810
17 20099
18 20239
19 20098
20 20216

About Peter Langendöerfer

Peter Langendöerfer is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 81 papers that have together received 621 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (32 papers), Cryptography and Residue Arithmetic (27 papers), Energy Efficient Wireless Sensor Networks (16 papers), Cryptography and Data Security (15 papers), Physical Unclonable Functions (PUFs) and Hardware Security (13 papers), Coding theory and cryptography (10 papers), Chaos-based Image/Signal Encryption (10 papers) and Security in Wireless Sensor Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (332 citations), Hardware and Architecture (68 citations), Artificial Intelligence (252 citations), Information Systems (172 citations) and Computer Vision and Pattern Recognition (84 citations). Peter Langendöerfer has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Krzysztof Piotrowski, Steffen Peter, Zoya Dyka, Manuel Díáz, Bartolomé Rubio, Levente Buttyán, Cristian Martín, Oleksandr Sudakov, Christian Goltz and Steffen Ortmann. Their work appears in journals such as Computer Communications, IEEE Open Journal of the Industrial Electronics Society, IEEE Access, IEEE Wireless Communications and Wireless Communications and Mobile Computing.

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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