Peter Wägemann

463 total citations
29 papers, 261 citations indexed

About

Peter Wägemann is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Peter Wägemann has authored 29 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 15 papers in Computer Networks and Communications and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Peter Wägemann's work include Real-Time Systems Scheduling (17 papers), Parallel Computing and Optimization Techniques (16 papers) and Distributed systems and fault tolerance (9 papers). Peter Wägemann is often cited by papers focused on Real-Time Systems Scheduling (17 papers), Parallel Computing and Optimization Techniques (16 papers) and Distributed systems and fault tolerance (9 papers). Peter Wägemann collaborates with scholars based in Germany, United States and Panama. Peter Wägemann's co-authors include Wolfgang Schröder‐Preikschat, Tobias Distler, Rüdiger Kapitza, Martin Schoeberl, Peter Hellinckx, Björn Lisper, Christine Rochange, Wolfgang Puffitsch, Sebastian Altmeyer and Heiko Falk and has published in prestigious journals such as PLoS Biology, IEEE Access and Sensors.

In The Last Decade

Peter Wägemann

25 papers receiving 258 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Wägemann Germany 8 137 77 65 47 40 29 261
David W. Krumme United States 7 53 0.4× 164 2.1× 50 0.8× 41 0.9× 83 2.1× 24 323
Olaf Zinke Germany 8 43 0.3× 13 0.2× 93 1.4× 20 0.4× 112 2.8× 11 258
Lorenzo Di Tucci Italy 10 92 0.7× 50 0.6× 28 0.4× 139 3.0× 17 0.4× 28 343
Ed Komp United States 8 148 1.1× 100 1.3× 23 0.4× 10 0.2× 13 0.3× 15 253
Jörg Robert Germany 14 8 0.1× 379 4.9× 695 10.7× 60 1.3× 48 1.2× 106 866
Fabio Verdicchio Belgium 9 5 0.0× 44 0.6× 37 0.6× 17 0.4× 85 2.1× 40 278
Abha Ahuja United States 6 33 0.2× 153 2.0× 31 0.5× 62 1.3× 13 0.3× 13 286
Gregory T. Sullivan Türkiye 12 42 0.3× 52 0.7× 10 0.2× 88 1.9× 39 1.0× 33 316
Edward Oakes United States 5 16 0.1× 172 2.2× 2 0.0× 75 1.6× 41 1.0× 8 281
Alex Bishara United States 7 110 0.8× 95 1.2× 37 0.6× 3 0.1× 57 1.4× 8 285

Countries citing papers authored by Peter Wägemann

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wägemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Wägemann

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Wägemann. A scholar is included among the top collaborators of Peter Wägemann 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 Wägemann. Peter Wägemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Franchi, Norman, et al.. (2024). TinyEP: TinyML-Enhanced Energy Profiling for Extreme Edge Devices. IEEE Access. 12. 193747–193762. 1 indexed citations
3.
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Schuster, Simon F., et al.. (2021). Annotate once – analyze anywhere: context-aware WCET analysis by user-defined abstractions. 54–66. 1 indexed citations
5.
Ripperger, Simon, Gerald G. Carter, Rachel A. Page, et al.. (2020). Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging. PLoS Biology. 18(4). e3000655–e3000655. 54 indexed citations
6.
Wägemann, Peter. (2020). Energy-Constrained Real-Time Systems and Their Worst-Case Analyses. OPUS Repository (Kooperativer Bibliotheksverbund Berlin-Brandenburg). 1 indexed citations
7.
Wägemann, Peter, et al.. (2019). Asynchronous Abstract Machines. 19–26. 1 indexed citations
8.
Schuster, Simon F., et al.. (2019). Proving Real-Time Capability of Generic Operating Systems by System-Aware Timing Analysis. 318–330. 4 indexed citations
9.
Hartmann, Markus, Peter Wägemann, Muhammad Nabeel, et al.. (2018). BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking. Sensors. 18(10). 3343–3343. 36 indexed citations
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Distler, Tobias, et al.. (2018). TASKers: A Whole-System Generator for Benchmarking Real-Time-System Analyses. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 12. 1 indexed citations
12.
Wägemann, Peter, et al.. (2018). Whole-System Worst-Case Energy-Consumption Analysis for Energy-Constrained Real-Time Systems. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 14 indexed citations
13.
Dietrich, Christian, et al.. (2017). SysWCET: Whole-System Response-Time Analysis for Fixed-Priority Real-Time Systems (Outstanding Paper). 37–48. 6 indexed citations
14.
Wägemann, Peter, et al.. (2017). Demo Abstract: Tooling Support for Benchmarking Timing Analysis. 159–160. 1 indexed citations
15.
Wägemann, Peter, et al.. (2017). Operating Energy-Neutral Real-Time Systems. ACM Transactions on Embedded Computing Systems. 17(1). 1–25. 5 indexed citations
16.
Sieh, Volkmar, et al.. (2017). An End-to-End Toolchain: From Automated Cost Modeling to Static WCET and WCEC Analysis. 158–167. 4 indexed citations
17.
Falk, Heiko, Sebastian Altmeyer, Peter Hellinckx, et al.. (2016). TACLeBench : a benchmark collection to support worst-case execution time research. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 73 indexed citations
18.
Wägemann, Peter, et al.. (2016). Towards code metrics for benchmarking timing analysis. 369–369. 3 indexed citations
19.
Wägemann, Peter, et al.. (2015). Worst-Case Energy Consumption Analysis for Energy-Constrained Embedded Systems. 35. 105–114. 24 indexed citations
20.
Wägemann, Peter, et al.. (2015). A Flexible, Adaptive System for Data-Stream Processing in Energy-Constrained Ad-hoc Networks. OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg).

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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