Simon Maskell
- Artificial Intelligence top 0.05%
- Target Tracking and Data Fusion in Sensor Networks 75
- Gaussian Processes and Bayesian Inference 17
- Bayesian Modeling and Causal Inference 11
- Anomaly Detection Techniques and Applications 9
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- Video Surveillance and Tracking Methods 10
- Aerospace Engineering top 0.2%
- Control and Systems Engineering top 0.5%
- Fault Detection and Control Systems 16
- Signal Processing top 0.5%
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- Distributed Sensor Networks and Detection Algorithms 22
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- Underwater Acoustics Research 9
- Co-authors
- Neil GordonM.S. ArulampalamMark BriersRandal DoucSimon GodsillDavid SalmondKevin GilholmThiagalingam Kirubarajan
- Journals
- IEEE Transactions on Signal Processing (5 papers)IEEE Transactions on Aerospace and Electronic Systems (4 papers)Drug Safety (3 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Simon Maskell
130 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 6.0k
- Computer Vision and Pattern Recognition 2.2k
- Aerospace Engineering 2.7k
- Control and Systems Engineering 2.0k
- Signal Processing 887
Countries citing papers authored by Simon Maskell
This map shows the geographic impact of Simon Maskell'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 Simon Maskell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Maskell more than expected).
Fields of papers citing papers by Simon Maskell
This network shows the impact of papers produced by Simon Maskell. 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 Simon Maskell. The network helps show where Simon Maskell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon Maskell, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 4 | |
| 9 | 2018 | 30 | |
| 10 | 2018 | 43 | |
| 11 | An empirical investigation of adaptive traffic control parameters | 2016 | 2 |
| 12 | Maneuvering target tracking using an unbiased nearly constant heading model | 2012 | 2 |
| 13 | Using a probabilistic hypothesis density filter to confirm tracks in a multi- target environment. | 2011 | 5 |
| 14 | A scalable method of tracking targets with dependent distributions | 2009 | 3 |
| 15 | Searching for, initiating and tracking multiple targets using existence probabilities | 2009 | 9 |
| 16 | Ground target group structure and state estimation with particle filtering | 2008 | 5 |
| 17 | Background modeling using adaptive cluster density estimation for automatic human detection | 2007 | 4 |
| 18 | How Many Randomly Distributed Wireless Sensors Are Enough To Make a 1-Dimensional Network Connected With a Given Probability? | 2007 | 3 |
| 19 | 2005 | 232 | |
| 20 | 2002 | 106 |
About Simon Maskell
Simon Maskell is a scholar working on Artificial Intelligence, Toxicology and Computer Networks and Communications, having authored 138 papers that have together received 10.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (75 papers), Distributed Sensor Networks and Detection Algorithms (22 papers), Gaussian Processes and Bayesian Inference (17 papers), Fault Detection and Control Systems (16 papers), Bayesian Modeling and Causal Inference (11 papers), Video Surveillance and Tracking Methods (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Underwater Acoustics Research (9 papers). The work is most often cited by research in Artificial Intelligence (6.0k citations), Computer Vision and Pattern Recognition (2.2k citations) and Aerospace Engineering (2.7k citations). Simon Maskell has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Neil Gordon, M.S. Arulampalam, Mark Briers, Randal Douc, Simon Godsill, David Salmond, Kevin Gilholm, Thiagalingam Kirubarajan, Mark Rutten and Munir Pirmohamed. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, Drug Safety, IEEE Signal Processing Letters and Mechanical Systems and Signal Processing.
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.