Markus Klügel

670 total citations
25 papers, 437 citations indexed

About

Markus Klügel is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Epidemiology. According to data from OpenAlex, Markus Klügel has authored 25 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 22 papers in Electrical and Electronic Engineering and 2 papers in Epidemiology. Recurrent topics in Markus Klügel's work include Advanced MIMO Systems Optimization (17 papers), Wireless Communication Networks Research (10 papers) and Advanced Wireless Network Optimization (10 papers). Markus Klügel is often cited by papers focused on Advanced MIMO Systems Optimization (17 papers), Wireless Communication Networks Research (10 papers) and Advanced Wireless Network Optimization (10 papers). Markus Klügel collaborates with scholars based in Germany, Austria and Sweden. Markus Klügel's co-authors include Wolfgang Kellerer, Sandra Hirche, Peter Fertl, Mikhail Vilgelm, Mohammad H. Mamduhi, Chan Zhou, Taylan Şahin, Mu He, Leonardo Goratti and Tinku Rasheed and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Wireless Communications.

In The Last Decade

Markus Klügel

24 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Klügel Germany 10 307 284 72 37 25 25 437
Mohamed K. Abdel-Aziz Finland 7 202 0.7× 219 0.8× 44 0.6× 14 0.4× 42 1.7× 9 325
Mikhail Vilgelm Germany 11 276 0.9× 210 0.7× 43 0.6× 36 1.0× 19 0.8× 20 331
Hussein Al-Zubaidy Sweden 11 387 1.3× 384 1.4× 80 1.1× 12 0.3× 22 0.9× 35 520
Rajat Talak United States 10 365 1.2× 223 0.8× 181 2.5× 13 0.4× 19 0.8× 22 424
Elif Tuğçe Ceran United Kingdom 9 483 1.6× 349 1.2× 264 3.7× 19 0.5× 15 0.6× 17 560
Bo Chang China 9 219 0.7× 321 1.1× 19 0.3× 26 0.7× 17 0.7× 39 470
Yuchao Chen China 6 196 0.6× 133 0.5× 21 0.3× 15 0.4× 38 1.5× 23 286
Antzela Kosta Sweden 3 600 2.0× 341 1.2× 261 3.6× 10 0.3× 23 0.9× 4 642
Nicholas J. Kaminski Ireland 10 191 0.6× 179 0.6× 22 0.3× 8 0.2× 18 0.7× 27 290
Jaya Prakash Champati Sweden 10 309 1.0× 136 0.5× 96 1.3× 10 0.3× 34 1.4× 36 359

Countries citing papers authored by Markus Klügel

Since Specialization
Citations

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

Fields of papers citing papers by Markus Klügel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Klügel

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Klügel. A scholar is included among the top collaborators of Markus Klügel 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 Markus Klügel. Markus Klügel 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.
Klügel, Markus, et al.. (2021). Experimental UAV Data Traffic Modeling and Network Performance Analysis. 1–10. 17 indexed citations
2.
Klügel, Markus & Wolfgang Kellerer. (2020). Optimal Mode Selection by Cross-Layer Decomposition in D2D Cellular Networks. IEEE Transactions on Wireless Communications. 19(4). 2528–2542. 3 indexed citations
3.
Klügel, Markus & Wolfgang Kellerer. (2020). Semi-Decentralized Interference Aware Scheduling in D2D-Enabled Cellular Networks. IEEE Access. 8. 132285–132301. 3 indexed citations
4.
Babarczi, Péter, Markus Klügel, Mu He, et al.. (2020). A mathematical framework for measuring network flexibility. Computer Communications. 164. 13–24. 11 indexed citations
5.
Klügel, Markus, et al.. (2019). Optimizing Dynamic RAN Slicing in Programmable 5G Networks. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 1–7. 38 indexed citations
6.
Klügel, Markus, Mu He, Wolfgang Kellerer, & Péter Babarczi. (2019). A mathematical measure for flexibility in communication networks. 1–9. 3 indexed citations
7.
Vilgelm, Mikhail, et al.. (2019). Age-of-information vs. value-of-information scheduling for cellular networked control systems. mediaTUM (Technical University of Munich). 109–117. 100 indexed citations
8.
Klügel, Markus & Wolfgang Kellerer. (2018). Poster abstract: Semi-decentralized interference management in D2D-enabled cellular networks. 1–2. 1 indexed citations
9.
Kellerer, Wolfgang, Arsany Basta, Péter Babarczi, et al.. (2018). How to Measure Network Flexibility? A Proposal for Evaluating Softwarized Networks. IEEE Communications Magazine. 56(10). 186–192. 27 indexed citations
10.
Şahin, Taylan, Markus Klügel, Chan Zhou, & Wolfgang Kellerer. (2018). Virtual Cells for 5G V2X Communications. IEEE Communications Standards Magazine. 2(1). 22–28. 34 indexed citations
11.
Klügel, Markus & Wolfgang Kellerer. (2017). The Device-to-Device Reuse Maximization Problem With Power Control. IEEE Transactions on Wireless Communications. 17(3). 1836–1848. 9 indexed citations
12.
Klügel, Markus & Wolfgang Kellerer. (2017). Dominant factors for device-to-device occurrence probabilities in cellular networks. Wireless Networks. 24(7). 2749–2761. 1 indexed citations
13.
Şahin, Taylan, Markus Klügel, Chan Zhou, & Wolfgang Kellerer. (2017). Multi-user-centric virtual cell operation for V2X communications in 5G networks. mediaTUM (Technical University of Munich). 84–90. 8 indexed citations
14.
Klügel, Markus, et al.. (2017). The relaxed power control algorithm. mediaTUM (Technical University of Munich). 2. 1–6. 1 indexed citations
15.
Klügel, Markus, Mu He, & Wolfgang Kellerer. (2016). Investigation of decision metrics for reuse link selection in device-to-device communication. mediaTUM (Technical University of Munich). 2. 1–6. 5 indexed citations
16.
Klügel, Markus & Wolfgang Kellerer. (2016). Leveraging The D2D-Gain: Resource Efficiency Based Mode Selection for Device-to-Device Communication. mediaTUM (Technical University of Munich). 24. 1–7. 7 indexed citations
17.
Klügel, Markus, et al.. (2015). Location-based Resource Allocation for mobile D2D communications in multicell deployments. mediaTUM (Technical University of Munich). 2444–2450. 13 indexed citations
18.
Klügel, Markus, et al.. (2014). Location dependent resource allocation for mobile device-to-device communications. mediaTUM (Technical University of Munich). 83 indexed citations
19.
Klügel, Markus & Wolfgang Kellerer. (2014). Introduction of an Efficiency Metric for Device-to-Device Communication in Cellular Networks. 48. 1–6. 3 indexed citations
20.
Klügel, Markus, et al.. (2013). Adaptive filtering for noise cancellation and signal analysis in real-time. mediaTUM (Technical University of Munich). 1123–1126. 3 indexed citations

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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