2026 Simon J. Godsill: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	60	3177	3085	190	188	414	21529

Overview

Simon J. Godsill is affiliated with the University of Cambridge in the United Kingdom. Their research spans several interconnected domains within computer science, with a significant emphasis on artificial intelligence and applied statistical methods.

The primary fields of study for Simon J. Godsill include:

Computer Science

Their work delves into various subfields, notably:

Artificial Intelligence
Finance
Computer Networks and Communications
Signal Processing
Statistics and Probability

Simon's research topics cover numerous specialized areas such as:

Target Tracking and Data Fusion in Sensor Networks
Gaussian Processes and Bayesian Inference
Financial Risk and Volatility Modeling
Bayesian Methods and Mixture Models
Distributed Sensor Networks and Detection Algorithms
Stochastic Processes and Financial Applications
Statistical Methods and Inference

Their recent publications reflect these interests, including the following works:

"An Adaptive and Scalable Multi-Object Tracker Based on the Non-Homogeneous Poisson Process" (2023) published in IEEE Transactions on Signal Processing
"Lévy State-Space Models for Tracking and Intent Prediction of Highly Maneuverable Objects" (2021) published in IEEE Transactions on Aerospace and Electronic Systems
"Filtering Structures for α-Stable Systems" (2022) published in IEEE Control Systems Letters
"Sequential Dynamic Leadership Inference Using Bayesian Monte Carlo Methods" (2021) published in IEEE Transactions on Aerospace and Electronic Systems
"Modeling intent and destination prediction within a Bayesian framework: Predictive touch as a usecase" (2020) published in Data-Centric Engineering

Frequent coauthors in their collaborations include:

Runze Gan
Qing Li
Bashar I. Ahmad
Jiaming Liang
Yaman Kındap

Simon J. Godsill's work has been published extensively across important venues, such as:

arXiv (Cornell University)
IEEE Open Journal of Signal Processing
IEEE Transactions on Aerospace and Electronic Systems
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE Transactions on Signal Processing

Best Publications

On sequential Monte Carlo sampling methods for Bayesian filtering

Arnaud Doucet;Simon Godsill;Christophe Andrieu

6495
Citations
An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo

O. Cappe;S.J. Godsill;E. Moulines

1340
Citations
On sequential simulation-based methods for Bayesian filtering

Arnaud Doucet;Simon J. Godsill;Christophe Andrieu

1019
Citations
Monte Carlo Smoothing for Nonlinear Time Series

Simon J Godsill;Arnaud Doucet;Mike West

696
Citations
Digital Audio Restoration

Simon Godsill;Peter Rayner;Olivier Cappé

541
Citations
Monte Carlo filtering for multi target tracking and data association

J. Vermaak;S.J. Godsill;P. Perez

534
Citations
Trans-dimensional Markov chain Monte Carlo

Peter J. Green;Simon Godsill;Juha Heikkinen

447
Citations
On the Relationship Between Markov chain Monte Carlo Methods for Model Uncertainty

Simon J Godsill

359
Citations
Poisson models for extended target and group tracking

Kevin Gilholm;Simon Godsill;Simon Maskell;David Salmond

350
Citations
Overview of Bayesian sequential Monte Carlo methods for group and extended object tracking

Lyudmila Mihaylova;Avishy Y. Carmi;François Septier;Amadou Gning

258
Citations
Digital Audio Restoration: A Statistical Model Based Approach

Simon H. Godsill;P. J. Rayner

249
Citations
A Bayesian Approach for Blind Separation of Sparse Sources

C. Fevotte;S.J. Godsill

223
Citations
Particle methods for Bayesian modeling and enhancement of speech signals

J. Vermaak;C. Andrieu;A. Doucet;S.J. Godsill

217
Citations
Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement

Patrick J. Wolfe;Simon J. Godsill

211
Citations
Improvement Strategies for Monte Carlo Particle Filters

Simon J. Godsill;Tim Clapp

209
Citations
Bayesian extensions to non-negative matrix factorisation for audio signal modelling

T. Virtanen;A.T. Cemgil;S. Godsill

196
Citations
Maximum a posteriori sequence estimation using Monte Carlo particle filters

Simon Godsill;Arnaud Doucet;Mike West

191
Citations
Monte Carlo smoothing with application to audio signal enhancement

W. Fong;S.J. Godsill;A. Doucet;M. West

178
Citations
Auxiliary Particle Implementation of Probability Hypothesis Density Filter

N Whiteley;S Singh;S Godsill

167
Citations
BAYESIAN VARIABLE SELECTION AND REGULARIZATION FOR TIME-FREQUENCY SURFACE ESTIMATION

Patrick J. Wolfe;Simon J. Godsill;Wee-Jing Ng

154
Citations

Frequent Co-Authors

Arnaud Doucet University of Oxford

Patrick J. Wolfe Purdue University West Lafayette

Lyudmila Mihaylova University of Sheffield

Christophe Andrieu University of Bristol

Cédric Févotte Toulouse Institute of Computer Science Research

Jean-Yves Tourneret National Polytechnic Institute of Toulouse

Simo Särkkä Aalto University

Nicolas Dobigeon National Polytechnic Institute of Toulouse

Jose M. Bioucas-Dias Instituto Superior Técnico

Petar M. Djuric Stony Brook University

External Links

Wikipedia of Simon J. Godsill Personal website of Simon J. Godsill Google Scholar page

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