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.
A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices
2017514 citationsYulong Huang, Yonggang Zhang et al.IEEE Transactions on Automatic Controlprofile →
A Novel Robust Student's <italic>t</italic>-Based Kalman Filter
2017369 citationsYulong Huang, Yonggang Zhang et al.profile →
Deep Learning Models for Cyber Security in IoT Networks
2019244 citationsJonathon A. Chambers 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 Jonathon A. Chambers
Since
Specialization
Citations
This map shows the geographic impact of Jonathon A. Chambers'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 Jonathon A. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathon A. Chambers more than expected).
Fields of papers citing papers by Jonathon A. Chambers
This network shows the impact of papers produced by Jonathon A. Chambers. 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 Jonathon A. Chambers. The network helps show where Jonathon A. Chambers may publish in the future.
Co-authorship network of co-authors of Jonathon A. Chambers
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathon A. Chambers.
A scholar is included among the top collaborators of Jonathon A. Chambers 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 Jonathon A. Chambers. Jonathon A. Chambers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Huang, Yulong, Yonggang Zhang, Ning Li, Syed Mohsen Naqvi, & Jonathon A. Chambers. (2016). A robust and efficient system identification method for a state-space model with heavy-tailed process and measurement noises. International Conference on Information Fusion. 441–448.9 indexed citations
15.
Chambers, Jonathon A., et al.. (2014). A new spontaneous expression database and a study of classification-based expression analysis methods. European Signal Processing Conference. 2505–2509.4 indexed citations
16.
Rehman, Ata Ur, Syed Mohsen Naqvi, Lyudmila Mihaylova, & Jonathon A. Chambers. (2014). Multi-target tracking by using particle filtering and a social force model. International Conference on Information Fusion. 1–6.3 indexed citations
17.
Chambers, Jonathon A., et al.. (2013). Outage Probability Analysis of an AF Cooperative Multi-Relay Network with Best Relay Selection and Clipped OFDM Transmission. View. 1–5.10 indexed citations
18.
Rehman, Ata Ur, et al.. (2013). Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking. Surrey Research Insight Open Access (The University of Surrey). 1730–1735.5 indexed citations
19.
Chambers, Jonathon A., et al.. (2012). PAPR reduction in distributed amplify-and-forward type closed loop extended orthogonal space frequency block coding with one-bit group feedback for cooperative communications. View. 1–6.1 indexed citations
20.
Cvetković, Zoran, Peter Sollich, Saeid Sanei, et al.. (2007). 2007 15th International Conference on Digital Signal Processing.18 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.