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.
Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks
2013767 citationsDavid J. Love, James V. Krogmeier et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by James V. Krogmeier
Since
Specialization
Citations
This map shows the geographic impact of James V. Krogmeier'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 James V. Krogmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James V. Krogmeier more than expected).
Fields of papers citing papers by James V. Krogmeier
This network shows the impact of papers produced by James V. Krogmeier. 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 James V. Krogmeier. The network helps show where James V. Krogmeier may publish in the future.
Co-authorship network of co-authors of James V. Krogmeier
This figure shows the co-authorship network connecting the top 25 collaborators of James V. Krogmeier.
A scholar is included among the top collaborators of James V. Krogmeier 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 James V. Krogmeier. James V. Krogmeier is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Layton, Alexander, et al.. (2016). Traffic Signal Detector Error Identification Using Kolmogorov-Smirnov Test. Transportation Research Board 95th Annual MeetingTransportation Research Board.1 indexed citations
13.
Love, Brian J., David J. Love, & James V. Krogmeier. (2012). Like Deck Chairs on the Titanic: Why Spectrum Reallocation Won’t Avert the Coming Data Crunch but Technology Might Keep the Wireless Industry Afloat. Open Scholarship Institutional Repository (Washington University in St. Louis). 89(3). 705–719.4 indexed citations
14.
Carter, Ben, et al.. (2008). Vehicle Detector Signature Processing and Vehicle Reidentification for Travel Time Estimation. Transportation Research Board 87th Annual MeetingTransportation Research Board.19 indexed citations
15.
Smaglik, Edward J., et al.. (2007). Performance of Modern Stop Bar Loop Count Detectors over Various Traffic Regimes. Transportation Research Board 86th Annual MeetingTransportation Research Board.3 indexed citations
16.
Love, David J., et al.. (2006). On Some Techniques for Reducing the Feedback Requirement in Precoded MIMO-OFDM. Global Communications Conference.2 indexed citations
Madanat, Samer, James V. Krogmeier, & Shou-Ren Hu. (1996). Enhanced Kalman Filtering algorithm for dynamic freeway OD matrix estimation and prediction. 423–428.4 indexed citations
19.
Jenkins, W.K. & James V. Krogmeier. (1987). The design of dual-mode complex signal processors based on quadratic modular number codes. 34. 354–364.3 indexed citations
20.
Krogmeier, James V., et al.. (1986). COMPLEX DIGITAL FILTERING IN QUADRATIC MODULAR NUMBER SYSTEMS.. International Symposium on Circuits and Systems. 1117–1120.1 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.