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.
Orthogonal least squares learning algorithm for radial basis function networks
19912.4k citationsSheng Chen, C.F.N. Cowan et al.profile →
Non-linear system identification using neural networks
1990753 citationsSheng Chen, P.M. Grant et al.International Journal of Controlprofile →
A clustering technique for digital communications channel equalization using radial basis function networks
1993541 citationsSheng Chen, B. Mulgrew et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of P.M. Grant'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 P.M. Grant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.M. Grant more than expected).
This network shows the impact of papers produced by P.M. Grant. 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 P.M. Grant. The network helps show where P.M. Grant may publish in the future.
Co-authorship network of co-authors of P.M. Grant
This figure shows the co-authorship network connecting the top 25 collaborators of P.M. Grant.
A scholar is included among the top collaborators of P.M. Grant 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 P.M. Grant. P.M. Grant is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sengupta, Shubhashis, J.M. Hannah, & P.M. Grant. (2001). Improving the Quality of Very Low Bit-Rate Video by Selective Quantization of Facial Features.1 indexed citations
4.
Grant, P.M., et al.. (1996). Feed-forward buffering and rate control based on scene change featureslll FOR MPEG VIDEO CODER. European Signal Processing Conference. 1–4.3 indexed citations
5.
Grant, P.M., et al.. (1995). The Adaptive Notch Filter for Active Noise Control: An Equivalent Transfer Function Approach. 2460. 539.
6.
McLaughlin, Stephen, et al.. (1995). Adaptive Bayesian decision feedback equalizer for dispersive mobile radio channel.3 indexed citations
7.
Grant, P.M., et al.. (1993). Complex-valued radial basis function networks. ePrints Soton (University of Southampton). 148–152.8 indexed citations
Mulgrew, B., et al.. (1992). Adaptive Bayesian equaliser with feedback for mobile radio channels. ePrints Soton (University of Southampton).2 indexed citations
10.
Gibson, Gavin J., et al.. (1989). Recursive prediction error algorithm for training multilayer perceptrons. ePrints Soton (University of Southampton).3 indexed citations
Grant, P.M. & John H. Collins. (1982). Introduction to electronic warfare. IEE Proceedings F Communications, Radar and Signal Processing. 129(3). 113–132.16 indexed citations
Grant, P.M., et al.. (1975). A Performance Comparison of Charge Coupled Device and Surface Acoustic Wave Transversal Filters. European Solid-State Circuits Conference. 70–71.
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.