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.
The unscented Kalman filter for nonlinear estimation
20022.7k citationsEric A. Wan, Rudolph van der Merweprofile →
Countries citing papers authored by Rudolph van der Merwe
Since
Specialization
Citations
This map shows the geographic impact of Rudolph van der Merwe'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 Rudolph van der Merwe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudolph van der Merwe more than expected).
Fields of papers citing papers by Rudolph van der Merwe
This network shows the impact of papers produced by Rudolph van der Merwe. 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 Rudolph van der Merwe. The network helps show where Rudolph van der Merwe may publish in the future.
Co-authorship network of co-authors of Rudolph van der Merwe
This figure shows the co-authorship network connecting the top 25 collaborators of Rudolph van der Merwe.
A scholar is included among the top collaborators of Rudolph van der Merwe 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 Rudolph van der Merwe. Rudolph van der Merwe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Baptista, António M., et al.. (2006). Assimilating in-situ Measurements into a Reduced-Dimensionality Model of an Estuary- Plume System.. AGU Fall Meeting Abstracts. 2006.2 indexed citations
Kaiser, C., et al.. (2005). In-vitro inhibition of mycelial growth of several phytopathogenic fungi, including Phytophthora cinnamomi by soluble silicon.16 indexed citations
6.
Merwe, Rudolph van der. (2004). Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models. OHSU Digital Commons.771 indexed citations breakdown →
Merwe, Rudolph van der & Eric A. Wan. (2002). The square-root unscented Kalman filter for state and parameter-estimation. 6. 3461–3464.860 indexed citations breakdown →
12.
Wan, Eric A. & Rudolph van der Merwe. (2002). The unscented Kalman filter for nonlinear estimation. 153–158.2737 indexed citations breakdown →
Merwe, Rudolph van der & Eric A. Wan. (2001). Efficient derivative-free Kalman filters for online learning.. The European Symposium on Artificial Neural Networks. 205–210.78 indexed citations
15.
Merwe, Rudolph van der, Randal Douc, Nando de Freitas, & Eric A. Wan. (2000). The Unscented Particle Filter. Oxford University Research Archive (ORA) (University of Oxford). 13. 584–590.1058 indexed citations breakdown →
16.
Wan, Eric A., Rudolph van der Merwe, & A. Nelson. (1999). Dual Estimation and the Unscented Transformation. Neural Information Processing Systems. 12. 666–672.142 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.