Pete Bunch
Impact in
- Artificial Intelligence top 10%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Bayesian Methods and Mixture Models
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- Geology and Paleoclimatology Research
- Cryospheric studies and observations
- Arctic and Antarctic ice dynamics
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 10
- Gaussian Processes and Bayesian Inference 5
- Bayesian Methods and Mixture Models 4
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- Fault Detection and Control Systems 4
- Co-authors
- Simon Godsill (11 shared papers)Paul J. Valdes (2 shared papers)Max Holloway (2 shared papers)Louise C. Sime (2 shared papers)Simo Särkkä (2 shared papers)Julia C. Tindall (1 shared paper)Fredrik Lindsten (3 shared papers)Joy Singarayer (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (3 papers)Nature Communications (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)Journal of the American Statistical Association (1 paper)Geophysical Research Letters (1 paper)
- Partner nations
- United KingdomFinlandSweden
In The Last Decade
Pete Bunch
13 papers receiving 241 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 145
- Atmospheric Science 79
- Statistics and Probability 20
- Oceanography 23
- Control and Systems Engineering 41
Countries citing papers authored by Pete Bunch
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
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-authors
The 15 scholars most cited alongside Pete Bunch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 52 | |
| 2 | 2015 | 47 | |
| 3 | 2017 | 25 | |
| 4 | 2015 | 23 | |
| 5 | 2012 | 21 | |
| 6 | 2013 | 18 | |
| 7 | 2012 | 16 | |
| 8 | 2013 | 11 | |
| 9 | Dynamical models for tracking with the variable rate particle filter | 2012 | 9 |
| 10 | 2016 | 9 | |
| 11 | Sparse structure inference for group and network tracking | 2016 | 6 |
| 12 | 2013 | 6 | |
| 13 | 2011 | 1 | |
| 14 | 2015 | 0 |
About Pete Bunch
Pete Bunch is a scholar working on Artificial Intelligence, Control and Systems Engineering, Oceanography, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 244 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Gaussian Processes and Bayesian Inference (5 papers), Fault Detection and Control Systems (4 papers), Bayesian Methods and Mixture Models (4 papers), Underwater Acoustics Research (3 papers), Geology and Paleoclimatology Research (2 papers), Cryospheric studies and observations (2 papers) and Distributed Sensor Networks and Detection Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (145 citations), Atmospheric Science (79 citations), Statistics and Probability (20 citations), Oceanography (23 citations) and Control and Systems Engineering (41 citations). Pete Bunch has collaborated with scholars based in United Kingdom, Finland and Sweden. Frequent co-authors include Simon Godsill, Paul J. Valdes, Max Holloway, Louise C. Sime, Simo Särkkä, Julia C. Tindall, Fredrik Lindsten, Joy Singarayer, Thomas B. Schön and Jamie Murphy. Their work appears in journals such as IEEE Transactions on Signal Processing, Nature Communications, IEEE Journal of Selected Topics in Signal Processing, Journal of the American Statistical Association and Geophysical Research Letters.
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.