Peter Langendöerfer

1.1k total citations
81 papers, 612 citations indexed

About

Peter Langendöerfer is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Peter Langendöerfer has authored 81 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 29 papers in Information Systems and 26 papers in Computer Networks and Communications. Recurrent topics in Peter Langendöerfer's work include Cryptographic Implementations and Security (32 papers), Cryptography and Residue Arithmetic (27 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Peter Langendöerfer is often cited by papers focused on Cryptographic Implementations and Security (32 papers), Cryptography and Residue Arithmetic (27 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Peter Langendöerfer collaborates with scholars based in Germany, Spain and Greece. Peter Langendöerfer's co-authors include Krzysztof Piotrowski, Steffen Peter, Zoya Dyka, Bartolomé Rubio, Manuel Díáz, Levente Buttyán, Cristian Martín, Oleksandr Sudakov, Teresa Riesgo and Steffen Ortmann and has published in prestigious journals such as IEEE Access, Sensors and IEEE Wireless Communications.

In The Last Decade

Peter Langendöerfer

67 papers receiving 562 citations

Peers

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-authorship network of co-authors of Peter Langendöerfer

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Langendöerfer. A scholar is included among the top collaborators of Peter Langendöerfer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Langendöerfer. Peter Langendöerfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Tool remaining useful life prediction using feature extraction and machine learning-based sensor fusion	Results in Engineering	Peter Langendöerfer et al.	0
2	Revisiting Atomic Patterns for Elliptic Curve Scalar Multiplication Revealing Inherent Vulnerability to Simple SCA		Zoya Dyka, Peter Langendöerfer et al.	0
3	Practical Investigation on the Distinguishability of Longa's Atomic Patterns		Zoya Dyka, Peter Langendöerfer et al.	2
4	Static Power Consumption as a New Side-Channel Analysis Threat to Elliptic Curve Cryptography Implementations		Zoya Dyka, Peter Langendöerfer et al.	0
5	Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition	IEEE Open Journal of the Industrial Electronics Society	Peter Langendöerfer et al.	5
6	Exploiting Static Power Consumption in Side-Channel Analysis		Peter Langendöerfer, Zoya Dyka et al.	1
7	Stealth Attacks on PCBs: An Experimental Plausibility Analysis		Zoya Dyka, Dominik Klein et al.	0
8	Poster: Machine Learning based Real Time Detection of Freezing of Gait of Parkinson Patients Running on a Body Worn Device		Peter Langendöerfer et al.	0
9	A Survey on Sensor- and Communication-Based Issues of Autonomous UAVs	Computer Modeling in Engineering & Sciences	Zoya Dyka, Peter Langendöerfer et al.	2
10	Vulnerability of Atomic Patterns to Simple SCA		Peter Langendöerfer, Zoya Dyka et al.	1
11	Randomized Addressing Countermeasures are Inefficient Against Address-Bit SCA		Zoya Dyka, Peter Langendöerfer et al.	3
12	Intelligence and Motion Models of Continuum Robots: An Overview	IEEE Access	Zoya Dyka, Oleksandr Sudakov et al.	9
13	Kafka-ML: Connecting the data stream with ML/AI frameworks	Repositorio Institucional de la Universidad de Málaga (University of Málaga)	Cristian Martín, Peter Langendöerfer et al.	40
14	Automated Simple Analysis Attack		Zoya Dyka, Peter Langendöerfer et al.	0
15	Intelligent Clustering as a Means to Improve K-means Based Horizontal Attacks		Zoya Dyka, Peter Langendöerfer et al.	1
16	Is cross-platform protocol stack suitable for sensor networks? Empirical evaluation		Peter Langendöerfer et al.	2
17	Side channel attacks and the non volatile memory of the future	Zenodo (CERN European Organization for Nuclear Research)	Zoya Dyka, Christian Walczyk et al.	3
18	Crosslayer firewall interaction as a means to provide effective and efficient protection at mobile devices	Computer Communications	Peter Langendöerfer, Krzysztof Piotrowski et al.	1
19	How public key cryptography influences wireless sensor node lifetime		Krzysztof Piotrowski, Peter Langendöerfer et al.	146
20	Protocol engineering for wired and wireless networks	Computer Communications	Peter Langendöerfer, Vassilis Tsaoussidis	1

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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