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.
5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice
Countries citing papers authored by Gerhard Wunder
Since
Specialization
Citations
This map shows the geographic impact of Gerhard Wunder'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 Gerhard Wunder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerhard Wunder more than expected).
This network shows the impact of papers produced by Gerhard Wunder. 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 Gerhard Wunder. The network helps show where Gerhard Wunder may publish in the future.
Co-authorship network of co-authors of Gerhard Wunder
This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Wunder.
A scholar is included among the top collaborators of Gerhard Wunder 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 Gerhard Wunder. Gerhard Wunder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wunder, Gerhard, et al.. (2018). Hierarchical Sparse Channel Estimation for Massive MIMO.. arXiv (Cornell University). 1–8.4 indexed citations
5.
Wunder, Gerhard, et al.. (2016). A Versatile PAPR Reduction Algorithm for 5G Waveforms with Guaranteed Performance. International ITG Workshop on Smart Antennas. 1–7.2 indexed citations
6.
Wunder, Gerhard, et al.. (2015). Interference Analysis for 5G Random Access with Short Message Support. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6.2 indexed citations
7.
Wunder, Gerhard, Martin Kasparick, & Peter Jung. (2015). Bi-orthogonal Waveforms for 5G Random Access with Short Message Support. arXiv (Cornell University).2 indexed citations
8.
Kasparick, Martin, et al.. (2014). Bi-orthogonal Waveforms for 5G Random Access with Short Message Support. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6.14 indexed citations
Kim, Haesik, et al.. (2013). ENVIRAN: Energy efficient virtual radio access networks. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 1–5.2 indexed citations
12.
Wunder, Gerhard, et al.. (2011). Autonomous Distributed Power Control Algorithms for Interference Mitigation in Multi-Antenna Cellular Networks. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8.3 indexed citations
13.
Wunder, Gerhard, et al.. (2011). Distributed Interference Alignment in Cellular Systems: Analysis and Algorithms. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–8.6 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.