Pete Bunch

409 total citations
14 papers, 242 citations indexed

About

Pete Bunch is a scholar working on Artificial Intelligence, Control and Systems Engineering and Oceanography. According to data from OpenAlex, Pete Bunch has authored 14 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Control and Systems Engineering and 3 papers in Oceanography. Recurrent topics in Pete Bunch's work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Gaussian Processes and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Pete Bunch is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Gaussian Processes and Bayesian Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Pete Bunch collaborates with scholars based in United Kingdom, Sweden and Finland. Pete Bunch's co-authors include Simon Godsill, Max Holloway, Louise C. Sime, Paul J. Valdes, Simo Särkkä, Fredrik Lindsten, Julia C. Tindall, Joy Singarayer, Thomas B. Schön and Jamie Murphy and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Geophysical Research Letters.

In The Last Decade

Pete Bunch

13 papers receiving 238 citations

Peers

Pete Bunch

AI

AS

CSE

OCEAN

ECOLO

H. R. Wason India

Taylor Glenn United States

Julie Bessac United States

Harry N. Gross United States

Antonio Natale Italy

Qiuze Yu China

Xuanwen Tao Spain

Kuo Liao China

Boao Qin China

Mauro Palo Italy

H. R. Wason India

Pete Bunch

78 ×0.5

AI

19 ×0.2

AS

41 ×1.0

CSE

9 ×0.4

OCEAN

13 ×0.6

ECOLO

Citations per year, relative to Pete Bunch Pete Bunch (= 1×) peers H. R. Wason

Countries citing papers authored by Pete Bunch

Since Specialization

Citations

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

Fields of papers citing papers by Pete Bunch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Bunch

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

All Works

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14 of 14 papers shown

1.

Holloway, Max, Louise C. Sime, Claire S. Allen, et al.. (2017). The Spatial Structure of the 128 ka Antarctic Sea Ice Minimum. Geophysical Research Letters. 44(21). 25 indexed citations

2.

Murphy, Jamie, Emre Özkan, Pete Bunch, & Simon Godsill. (2016). Sparse structure inference for group and network tracking. Cambridge University Engineering Department Publications Database. 1208–1214. 6 indexed citations

3.

Holloway, Max, Louise C. Sime, Joy Singarayer, et al.. (2016). Antarctic last interglacial isotope peak in response to sea ice retreat not ice-sheet collapse. Nature Communications. 7(1). 12293–12293. 52 indexed citations

4.

Bunch, Pete, Jamie Murphy, & Simon Godsill. (2016). Bayesian Learning of Degenerate Linear Gaussian State Space Models Using Markov Chain Monte Carlo. IEEE Transactions on Signal Processing. 64(16). 4100–4112. 9 indexed citations

5.

Bunch, Pete, Fredrik Lindsten, & Sumeetpal S. Singh. (2015). Particle Gibbs with refreshed backward simulation. 39. 4115–4119.

6.

Bunch, Pete & Simon Godsill. (2015). Approximations of the Optimal Importance Density Using Gaussian Particle Flow Importance Sampling. Journal of the American Statistical Association. 111(514). 748–762. 45 indexed citations

7.

Lindsten, Fredrik, Pete Bunch, Simo Särkkä, Thomas B. Schön, & Simon Godsill. (2015). Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models. IEEE Journal of Selected Topics in Signal Processing. 10(2). 353–365. 23 indexed citations

8.

Bunch, Pete & Simon Godsill. (2013). Particle filtering with progressive Gaussian approximations to the optimal importance density. 140. 360–363. 11 indexed citations

9.

Lindsten, Fredrik, Pete Bunch, Simon Godsill, & Thomas B. Schön. (2013). Rao-Blackwellized particle smoothers for mixed linear/nonlinear state-space models. KTH Publication Database DiVA (KTH Royal Institute of Technology). 6288–6292. 18 indexed citations

10.

Bunch, Pete & Simon Godsill. (2013). Particle Smoothing Algorithms for Variable Rate Models. IEEE Transactions on Signal Processing. 61(7). 1663–1675. 6 indexed citations

11.

Bunch, Pete & Simon Godsill. (2012). Dynamical models for tracking with the variable rate particle filter. Cambridge University Engineering Department Publications Database. 9 indexed citations

12.

Särkkä, Simo, Pete Bunch, & Simon Godsill. (2012). A Backward-Simulation Based Rao-Blackwellized Particle Smoother for Conditionally Linear Gaussian Models. IFAC Proceedings Volumes. 45(16). 506–511. 16 indexed citations

13.

Bunch, Pete & Simon Godsill. (2012). Improved Particle Approximations to the Joint Smoothing Distribution Using Markov Chain Monte Carlo. IEEE Transactions on Signal Processing. 61(4). 956–963. 21 indexed citations

14.

Bunch, Pete & Simon Godsill. (2011). Point process MCMC for sequential music transcription. 5936–5939. 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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