Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
System Level Simulation of LTE Networks
2010377 citationsJosep Colom Ikuno, Martin Wrulich et al.profile →
This map shows the geographic impact of Markus Rupp'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 Rupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Rupp more than expected).
This network shows the impact of papers produced by Markus Rupp. 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 Rupp. The network helps show where Markus Rupp may publish in the future.
Co-authorship network of co-authors of Markus Rupp
This figure shows the co-authorship network connecting the top 25 collaborators of Markus Rupp.
A scholar is included among the top collaborators of Markus Rupp 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 Rupp. Markus Rupp is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pratschner, Stefan, et al.. (2019). Computationally Efficient Limited Feedback for Codebook-Based FD-MIMO Precoding. International ITG Workshop on Smart Antennas. 1–5.4 indexed citations
5.
Liu, Wenfeng, et al.. (2019). On Delay Diversity in OQAM/FBMC Based Transmission Schemes.. International ITG Workshop on Smart Antennas. 139–143.2 indexed citations
Šimko, Michal, et al.. (2013). Channel Estimators for LTE-A Downlink Fast Fading Channels. International ITG Workshop on Smart Antennas. 1–5.6 indexed citations
9.
Laner, Markus, Philipp Svoboda, Navid Nikaein, & Markus Rupp. (2013). Traffic models for machine type communications. Graduate School and Research Center in Digital Science (EURECOM). 1–5.79 indexed citations
10.
Ikuno, Josep Colom, Martin Taranetz, & Markus Rupp. (2013). A Fairness-based Performance Evaluation of Fractional Frequency Reuse in LTE. International ITG Workshop on Smart Antennas. 1–6.8 indexed citations
11.
Schwarz, Štefan & Markus Rupp. (2012). Adaptive channel direction quantization for frequency selective channels. European Signal Processing Conference. 2536–2540.1 indexed citations
12.
Blumenstein, Jiří, et al.. (2011). Simulating the long term evolution uplink physical layer. 141–144.40 indexed citations
13.
Rupp, Markus, et al.. (2011). Experimental node failure analysis in WSNs. International Conference on Systems, Signals and Image Processing. 1–5.9 indexed citations
14.
Rupp, Markus, et al.. (2011). WSN Implementation of the Average Consensus Algorithm. 1–8.23 indexed citations
Rupp, Markus. (2009). Video and multimedia transmissions over cellular networks : analysis, modeling, and optimization in live 3G mobile communications. Wiley eBooks.3 indexed citations
17.
Wang, Qi, Sebastian Caban, Christian Mehlführer, & Markus Rupp. (2009). Measurement based throughput evaluation of residual frequency offset compensation in WiMAX. International Symposium ELMAR. 233–236.6 indexed citations
Wrulich, Martin, et al.. (2008). System Level Modeling of D-TxAA MIMO HSDPA. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich).1 indexed citations
20.
Svoboda, Philipp & Markus Rupp. (2005). Online Gaming Models for Wireless Networks.. 417–422.6 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.