Nick Whiteley

1.1k total citations
39 papers, 505 citations indexed

About

Nick Whiteley is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Nick Whiteley has authored 39 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 5 papers in Signal Processing. Recurrent topics in Nick Whiteley's work include Target Tracking and Data Fusion in Sensor Networks (17 papers), Gaussian Processes and Bayesian Inference (13 papers) and Bayesian Methods and Mixture Models (8 papers). Nick Whiteley is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (17 papers), Gaussian Processes and Bayesian Inference (13 papers) and Bayesian Methods and Mixture Models (8 papers). Nick Whiteley collaborates with scholars based in United Kingdom, Singapore and United States. Nick Whiteley's co-authors include Sumeetpal S. Singh, Simon Godsill, Ali Taylan Cemgil, Anthony Lee, Ajay Jasra, Adam M. Johansen, Dan Crisan, Alexandros Beskos, Richard E. Turner and Yves F. Atchadé and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Signal Processing and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Nick Whiteley

36 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nick Whiteley United Kingdom	13	270	104	73	57	46	39	505
Anthony Quinn Ireland	13	382 1.4×	37 0.4×	92 1.3×	98 1.7×	140 3.0×	54	698
Sze Kim Pang United Kingdom	9	358 1.3×	30 0.3×	50 0.7×	114 2.0×	38 0.8×	14	515
Bin Qin China	13	180 0.7×	26 0.3×	54 0.7×	89 1.6×	34 0.7×	65	578
Gerhard Kurz Germany	13	408 1.5×	20 0.2×	56 0.8×	73 1.3×	81 1.8×	73	622
Yoav Zemel Switzerland	6	119 0.4×	94 0.9×	23 0.3×	68 1.2×	44 1.0×	9	539
Gilles Gasso France	9	165 0.6×	35 0.3×	197 2.7×	213 3.7×	39 0.8×	29	659
George Ostrouchov United States	14	139 0.5×	35 0.3×	57 0.8×	44 0.8×	16 0.3×	55	594
Nikolas Kantas United Kingdom	11	246 0.9×	120 1.2×	16 0.2×	17 0.3×	68 1.5×	33	461
Christopher S. Withers United Kingdom	14	214 0.8×	536 5.2×	66 0.9×	14 0.2×	59 1.3×	159	1.0k

Countries citing papers authored by Nick Whiteley

Since Specialization

Citations

This map shows the geographic impact of Nick Whiteley'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 Nick Whiteley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Whiteley more than expected).

Fields of papers citing papers by Nick Whiteley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nick Whiteley. 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 Nick Whiteley. The network helps show where Nick Whiteley may publish in the future.

Co-authorship network of co-authors of Nick Whiteley

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Whiteley. A scholar is included among the top collaborators of Nick Whiteley 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 Nick Whiteley. Nick Whiteley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Whiteley, Nick, et al.. (2025). Hidden Markov Neural Networks. Entropy. 27(2). 168–168.

Heng, Jeremy, et al.. (2022). An Invitation to Sequential Monte Carlo Samplers. Journal of the American Statistical Association. 117(539). 1587–1600. 25 indexed citations

Johansen, Adam M., et al.. (2020). Global Consensus Monte Carlo. Journal of Computational and Graphical Statistics. 30(2). 249–259. 10 indexed citations

Whiteley, Nick, et al.. (2019). Parallelizing particle filters with butterfly interactions. Scandinavian Journal of Statistics. 47(2). 361–396. 4 indexed citations

Whiteley, Nick & Nikolas Kantas. (2017). Calculating Principal Eigen-Functions of Non-Negative Integral Kernels: Particle Approximations and Applications. Mathematics of Operations Research. 42(4). 1007–1034. 3 indexed citations

Jones, Matthew W., et al.. (2016). A hidden Markov model for decoding and the analysis of replay in spike trains. Journal of Computational Neuroscience. 41(3). 339–366. 4 indexed citations

O’Donnell, Cian, J. Tiago Gonçalves, Nick Whiteley, Carlos Portera‐Cailliau, & Terrence J. Sejnowski. (2016). The Population Tracking Model: A Simple, Scalable Statistical Model for Neural Population Data. Neural Computation. 29(1). 50–93. 12 indexed citations

Whiteley, Nick, et al.. (2016). An Algorithm for Approximating the Second Moment of the Normalizing Constant Estimate from a Particle Filter. Methodology And Computing In Applied Probability. 19(3). 799–818. 2 indexed citations

Cemgil, Ali Taylan, et al.. (2015). A practical introduction to butterfly and adaptive resampling in Sequential Monte Carlo. IFAC-PapersOnLine. 48(28). 787–792.

10.

Singh, Sumeetpal S., Nicolás Chopin, & Nick Whiteley. (2013). Bayesian Learning of Noisy Markov Decision Processes. ACM Transactions on Modeling and Computer Simulation. 23(1). 1–25. 4 indexed citations

11.

Whiteley, Nick, Nikolas Kantas, & Ajay Jasra. (2012). Linear variance bounds for particle approximations of time-homogeneous Feynman–Kac formulae. Stochastic Processes and their Applications. 122(4). 1840–1865. 12 indexed citations

12.

Whiteley, Nick. (2012). Sequential Monte Carlo Samplers: Error Bounds and Insensitivity to Initial Conditions. Stochastic Analysis and Applications. 30(5). 774–798. 16 indexed citations

13.

Johansen, Adam M., Nick Whiteley, & Randal Douc. (2012). Exact Approximation of Rao-Blackwellised Particle Filters. IFAC Proceedings Volumes. 45(16). 488–493. 9 indexed citations

14.

Whiteley, Nick, Adam M. Johansen, & Simon Godsill. (2010). Monte Carlo Filtering of Piecewise Deterministic Processes. Journal of Computational and Graphical Statistics. 20(1). 119–139. 10 indexed citations

15.

Whiteley, Nick & Christophe Andrieu. (2010). E cient Bayesian Inference for Switching State-Space Models using Particle Markov Chain Monte Carlo Methods. 1 indexed citations

16.

Whiteley, Nick, et al.. (2009). WITSML Real-Time Inter-operability Testing. 8 indexed citations

17.

Allen, Scott T., et al.. (2008). Design, Implementation and Operation of an Advanced Collaborative Environment for Enhanced Performance in Tangguh Drilling and Completions. SPE Annual Technical Conference and Exhibition. 8 indexed citations

18.

Johansen, Adam M. & Nick Whiteley. (2008). A modern perspective on auxiliary particle filters. 1 indexed citations

19.

Whiteley, Nick, Sumeetpal S. Singh, & Simon Godsill. (2007). Auxiliary Particle Implementation of the Probability Hypothesis Density Filter. 510–515. 17 indexed citations

20.

Whiteley, Nick. (2004). Discussion on the paper by Andrieu, Doucet and Holenstein. 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.

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