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.
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities
2022391 citationsMd. Noor‐A‐Rahim, Zilong Liu et al.Proceedings of the IEEEprofile →
Enabling smart cities through a cognitive management framework for the internet of things
Countries citing papers authored by Klaus Moessner
Since
Specialization
Citations
This map shows the geographic impact of Klaus Moessner'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 Klaus Moessner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Moessner more than expected).
This network shows the impact of papers produced by Klaus Moessner. 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 Klaus Moessner. The network helps show where Klaus Moessner may publish in the future.
Co-authorship network of co-authors of Klaus Moessner
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Moessner.
A scholar is included among the top collaborators of Klaus Moessner 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 Klaus Moessner. Klaus Moessner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
López‐Benítez, Miguel & Klaus Moessner. (2013). LTE Uplink Extension in TV White Spaces. Surrey Research Insight Open Access (The University of Surrey).1 indexed citations
9.
Moessner, Klaus, et al.. (2013). Deploying cloud services in mobile networks. View. 928–933.
10.
Parr, Gerard, et al.. (2013). The standardisation of cloud computing: Trends in the state-of-the-art and management issues for the next generation of cloud. Surrey Research Insight Open Access (The University of Surrey). 902–911.3 indexed citations
Arshad, Kamran & Klaus Moessner. (2011). Robust collaborative spectrum sensing based on beta reputation system. View. 1–8.10 indexed citations
13.
Moessner, Klaus, et al.. (2010). Regulation requirements of advanced spectrum exploitation technologies. View. 1–8.1 indexed citations
14.
Liu, Xiulei, Payam Barnaghi, Klaus Moessner, & Jianxin Liao. (2010). Using concept and structure similarities for ontology integration. 234–235.1 indexed citations
15.
Wei, Dali, Yichao Jin, Alexander Gluhak, Rahim Tafazolli, & Klaus Moessner. (2010). Hot-spot issue aware clustering for WSNs to extend stable operation period. View.1 indexed citations
16.
Li, Ning, et al.. (2010). A Communication Middleware for Ubiquitous Multimedia Adaptation Services. Open Research Online (The Open University). 29(4). 629–646.1 indexed citations
17.
Ding, Jie, et al.. (2008). Performance Modelling and Evaluation of An Adaptation Management System. View.5 indexed citations
18.
Moessner, Klaus, et al.. (2006). Cell-by-Cell Dynamic Spectrum Allocation in Multi-Radio Environments. European Wireless Conference. 1–5.4 indexed citations
19.
Tönjes, Ralf, Klaus Moessner, Thorsten Lohmar, & Michael Wolf. (2002). OverDRiVE -- Spectrum Efficient Multicast Services to Vehicles.9 indexed citations
20.
Moessner, Klaus, et al.. (2002). The RMA-A Framework for Reconfiguration of SDR Equipment(Special Issue on Software Defined Radio Technology and Its Applications). IEICE Transactions on Communications. 85(12). 2573–2580.2 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.