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.
Vehicular Channel Characterization and Its Implications for Wireless System Design and Performance
2011336 citationsChristoph F. Mecklenbräuker, Andreas F. Molisch et al.Proceedings of the IEEEprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Alexander Paier
Since
Specialization
Citations
This map shows the geographic impact of Alexander Paier'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 Alexander Paier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Paier more than expected).
This network shows the impact of papers produced by Alexander Paier. 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 Alexander Paier. The network helps show where Alexander Paier may publish in the future.
Co-authorship network of co-authors of Alexander Paier
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Paier.
A scholar is included among the top collaborators of Alexander Paier 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 Alexander Paier. Alexander Paier is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Baldauf, Matthias, et al.. (2012). Prototyping Novel Automotive UIs with the ROADSAFE Toolkit. 19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific.1 indexed citations
Mecklenbräuker, Christoph F., Andreas F. Molisch, Johan Kåredal, et al.. (2011). Vehicular Channel Characterization and Its Implications for Wireless System Design and Performance. Proceedings of the IEEE. 99(7). 1189–1212.336 indexed citations breakdown →
10.
Abbas, Taimoor, Johan Kåredal, Fredrik Tufvesson, et al.. (2010). Directional Analysis of Vehicle-to-Vehicle Propagation in Different Traffic Environments. Lund University Publications (Lund University).2 indexed citations
Kåredal, Johan, Nicolai Czink, Alexander Paier, Fredrik Tufvesson, & Andreas F. Molisch. (2010). Path Loss Modeling for Vehicle-to-Vehicle Communications. IEEE Transactions on Vehicular Technology. 60(1). 323–328.228 indexed citations
Bernadó, Laura, Thomas Zemen, Alexander Paier, et al.. (2008). Non-WSSUS Vehicular Channel Characterization at 5.2 GHz - Spectral Divergence and Time-Variant Coherence Parameters. Lund University Publications (Lund University).29 indexed citations
19.
Paier, Alexander, Thomas Zemen, Laura Bernadó, et al.. (2008). Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2 GHz using the local scattering function. Lund University Publications (Lund University). 9–15.71 indexed citations
20.
Paier, Alexander, Johan Kåredal, Nicolai Czink, et al.. (2008). Description of a vehicle-to-vehicle and vehicle-to-infrastructure radio channel measurements at 5.2 GHz. Lund University Publications (Lund University).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.